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Logarithmic Potential, Capacity, and Riesz Decomposition

1 · Prerequisites

2 · Summary

This page develops the classical logarithmic potential theory of compact subsets of the plane. The kernel k(z,w)=log⁡(1/∣z−w∣) carries the value +∞ on the diagonal, and the potential Uμ and energy I(μ) of a finite positive measure of compact support are defined through a shift kR=k+log⁡R with R larger than the diameter of the carrier. On each nonempty compact set K the Robin constant VK is the infimum of the energy over Borel probability measures on K, the capacity is cap⁡(K)=e−VK (with cap⁡(∅)=0), and the energy is lower semicontinuous with respect to weak convergence. Strict positivity of the energy of a nonzero zero-mass charge, the maximum principle for logarithmic potentials, and the Frostman variational inequality for the equilibrium measure follow, and the equilibrium measure exists and is unique whenever the capacity is positive.

The second half of the page passes to the finer structure of subharmonic functions. The Riesz measure μu=(2π)−1Δu of a subharmonic u is a positive Radon measure, the distributional Laplacian of a logarithmic potential is identified, and every subharmonic function on a plane domain is locally the sum of a potential of its Riesz measure and a harmonic function. Compact sets of capacity zero are exactly the compact sets contained in the −∞ locus of a subharmonic function, which yields the compact- and σ-compact-polar calculus used by quasi-everywhere statements. The page also proves descent and domination principles for logarithmic potentials. Fekete points, the transfinite diameter τ, and the monic Chebyshev constant cheb⁡ are then related to capacity by cap⁡(K)=τ(K)=cheb⁡(K). For nonpolar K, empirical Fekete measures converge weakly to the equilibrium measure, and the normalized moduli ∣Fn∣1/n converge uniformly on compact subsets of C∖K to exp⁡(−UμK).

The final items construct the Green function with pole at infinity from the equilibrium potential, g=VK−UμK, with its quasi-everywhere boundary condition, and record the reciprocity inequality and the monic lower bound ∥p∥K≥cheb⁡(K)n that carry the Chebyshev comparison. The axiom accounting is explicit: the Axiom of Choice is stated on the equilibrium, Frostman, and capacity-equals-transfinite-diameter results and supplies Countable Choice where a minimizing sequence, an enumeration, or a regularity theorem needs it; Dependent Choice is stated on the Riesz measure, Riesz decomposition, domination, and compact-polar results. The potential maximum principle and Chebyshev root-limit lemma are choice-free; descent, reciprocity, and the monic comparison carry the choice hypotheses of their cited suppliers.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-6.1-sol)audited 2026-10-02Open item page →

Support of a finite Borel measure on the plane

Definition

Let μ be a finite positive Borel measure on C (Radon measure on an LCH space). Call an open set V⊆C μ-null when μ(V)=0. The support of μ is the complement of the union of all open μ-null sets,

supp⁡μ:=C∖⋃{V⊆C:V open and μ(V)=0},

which is a closed subset of C (Interior, closure, boundary, limit point, isolated point and dense subset of a metric space). Equivalently, x∈supp⁡μ if and only if μ(V)>0 for every open set V∋x. A measure is carried by a Borel set A when μ(C∖A)=0, the terminology of A positive, signed, or complex measure concentrated on a measurable set. We say μ has compact support when it is carried by some compact subset of C.

Remark

The support is the smallest closed carrier, and the argument is choice-free. Let U be the union of all open μ-null sets. The rational open squares B of R2≅C form a countable basis (Qn is a countable dense subset of Rn, and rational open boxes form a countable basis). Let N be the countable family of those basis squares with μ(B)=0. If x∈U, then x lies in some open μ-null V, and the basis property supplies a square B∈N with x∈B⊆V; conversely every B∈N is contained in U. Hence U is the countable union of the μ-null sets N and is itself μ-null by countable additivity (Measures on sigma-algebras). Therefore μ(C∖supp⁡μ)=0: the support carries μ. If F is a closed set with μ(C∖F)=0, then C∖F is an open μ-null set, so it is one of the sets in the defining union and supp⁡μ⊆F; the support is thus the smallest closed set carrying μ. In particular μ≠0 if and only if supp⁡μ≠∅, and if μ is carried by a compact K, then supp⁡μ⊆K is compact.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-6.1-sol)audited 2026-10-02Open item page →

Logarithmic potential and energy of a positive compactly supported measure

Definition

Identify C with R2 and let dA be area Lebesgue measure. All measures below are positive Borel measures. The logarithmic kernel is

k(z,w):=log⁡1∣z−w∣(z,w∈C),

with the diagonal value k(w,w):=+∞; here log⁡ is the natural logarithm. The map k is Borel on C×C and k(z,w)=+∞ exactly when z=w.

The kernel is used with the following two standing hypotheses, each stated separately where it is needed.

Potential. Let μ be a finite positive Borel measure of compact support. The logarithmic potential of μ is

Uμ(z):=∫Ck(z,w) dμ(w)∈(−∞,+∞](z∈C).

The integral is the extended integral of the Borel function w↦k(z,w), which is bounded below on the fixed compact set supp⁡μ and takes the value +∞ only at w=z. Its negative is the subharmonic normalisation

pμ(z):=−Uμ(z)=∫Clog⁡∣z−w∣ dμ(w)∈[−∞,+∞).

For the zero measure both extended integrals are empty sums; we record the clauses U0:=0 and p0:=0.

Energy. Let μ be a finite positive Borel measure of compact support. Choose R>diam⁡(supp⁡μ) and put kR(z,w):=k(z,w)+log⁡R. Then kR≥0 on supp⁡μ×supp⁡μ, and the logarithmic energy of μ is

I(μ):=∫C∫CkR(z,w) dμ(z) dμ(w)−μ(C)2log⁡R∈(−∞,+∞].

Here the double integral of the nonnegative Borel function kR is the iterated extended integral, well defined by Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, and the value I(μ) does not depend on the choice of R>diam⁡(supp⁡μ). For the zero measure, whose support is empty and has no diameter, we record the separate clause I(0):=0; this is also the value of the displayed formula for every R>0 (both the double integral over the empty carrier and the subtracted term μ(C)2log⁡R are 0), so the clause is the consistent extension of the definition and is used only to avoid mentioning diam⁡∅. For bounded Borel B the finiteness μ(B)<∞ is that of Radon measure on an LCH space.

Mixed energy. Let μ,ν be finite positive Borel measures of compact support and choose R>diam⁡(supp⁡μ∪supp⁡ν). The mixed energy of μ and ν is

I(μ,ν):=∫C∫CkR(z,w) dμ(z) dν(w)−μ(C)ν(C)log⁡R∈(−∞,+∞],

again independent of the choice of R. If μ=0 or ν=0 we record the clause I(μ,ν):=0; for μ=0 the displayed formula gives 0 for every R>0, and symmetrically for ν=0, so this is again a consistent extension covering the case in which supp⁡μ∪supp⁡ν=∅. When I(μ)=I(μ,μ) the same symbol is used, and I(μ,ν)=I(ν,μ) because k is symmetric.

Remarks

Why the shift is legitimate. Since ∣z−w∣≤diam⁡(supp⁡μ)<R on the product of the supports, the two extensions of I(μ) obtained from two admissible radii R<S agree by Tonelli: the nonnegative integrands k+log⁡R and k+log⁡S differ by the constant log⁡(S/R), whose integral against μ⊗μ is μ(C)2log⁡(S/R).

Unbounded support. For a finite positive Borel measure μ whose support is not compact, Uμ(z) is defined by the extended integral when ∫log⁡+∣z−w∣ dμ(w)<∞, so its negative part has finite integral and Uμ(z)∈(−∞,+∞]. For energy, put A:=∬k+ dμ dμ and B:=∬k− dμ dμ, both nonnegative extended integrals defined by Tonelli. When at least one of A,B is finite, define I(μ):=A−B∈[−∞,+∞]. In particular, A<∞ and B=+∞ gives I(μ)=−∞; if B<∞, the value lies in (−∞,+∞]. If both parts are infinite, I(μ) is undefined. The shifted compact-support formulas above are not used on unbounded supports; the capacity theory of this page uses compactly supported measures only.

Finiteness on compact support. If diam⁡(supp⁡μ)>0, then k≥−log⁡diam⁡(supp⁡μ) on the product of the support with itself, so I(μ)>−∞; if supp⁡μ={a} then I(δa)=+∞. The diagonal value +∞ is not a removable convention: for every μ with μ({a})>0 the values Uμ(a)=+∞ and I(μ)=+∞ depend on which value is assigned at z=w.

DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-10-02Open item page →

Robin constant and logarithmic capacity of a compact set

Definition

Let K⊆C be compact and nonempty, and let P(K) be the set of Borel probability measures on K (Probability measures and probability spaces), viewed as measures on C carried by K. Every μ∈P(K) has compact support contained in K, so its logarithmic energy I(μ)∈(−∞,+∞] is the quantity of Logarithmic potential and energy of a positive compactly supported measure; indeed the kernel k(z,w)=log⁡(1/∣z−w∣) is bounded below on K×K: it is ≥−log⁡diam⁡K when diam⁡K>0, and I(μ)=+∞ for the only measure of P(K) when K is a singleton.

The Robin constant of K is

VK:=inf⁡μ∈P(K)I(μ)∈(−∞,+∞].

The set P(K) is nonempty: it contains the Dirac measure at any point of K (The Dirac set function at a point). Put EK:={I(μ):μ∈P(K), I(μ)<+∞}. If EK=∅, all energies are +∞ and we set VK=+∞. Otherwise K is not a singleton, and EK is a nonempty subset of R bounded below by −log⁡diam⁡K, so Every nonempty set bounded below has an infimum gives its real infimum. Set VK=inf⁡EK in this case. Adding the value +∞ does not change any real lower bound, so this is exactly the extended infimum displayed above. The logarithmic capacity of K is

cap⁡(K):={exp⁡(−VK)if VK<+∞,0if VK=+∞,

with exp⁡ the real exponential function (The real exponential function and the number e by a power series). Thus cap⁡(K)∈[0,∞) for every nonempty compact K, and for the empty set one uses the separate convention

cap⁡(∅):=0.

Remarks

Zero capacity as total divergence of the energy. For nonempty compact K, cap⁡(K)=0 holds exactly when VK=+∞, that is, exactly when I(μ)=+∞ for every μ∈P(K): the set {I(μ):μ∈P(K)} lies in (−∞,+∞], so its infimum is +∞ precisely when all its members are +∞. Such a set is called polar; this is the defining dichotomy used throughout the page.

Monotonicity under inclusion. If K⊆L are nonempty compact sets, then every Borel probability measure on K, extended by zero to the Borel subsets of L, is a Borel probability measure on L with the same energy; hence P(K)⊆P(L), the infimum over the larger set is no larger, VL≤VK, and cap⁡(K)≤cap⁡(L). The explicit case cap⁡(∅)=0 is consistent with this: the empty set is contained in every set.

Normalization. The sign exp⁡(−VK) rather than exp⁡(VK) is the convention of the cited sources: it makes cap⁡(K) a length, for instance cap⁡D(a,r)‾=r for a disc. The constant VK and the capacity determine each other whenever VK<+∞.

Choice. No choice principle is used in this definition. Choosing a point of a nonempty compact set to exhibit nonemptiness of P(K) is a single selection from a nonempty set; the infimum is a set-theoretic construction on a fixed set of extended reals.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6.1-sol)audited 2026-10-02Open item page →

Lower semicontinuity of logarithmic potential and energy

Statement

Let K⊆C be nonempty compact and let μn,μ be Borel probability measures on K with μn⇒μ. With the Borel kernel k(z,w)=log⁡1∣z−w∣ assigned +∞ on the diagonal, the extended integrals Uμ(z)=∫Ck(z,w) dμ(w) and I(μ)=∬C×Ck dμ⊗dμ of Logarithmic potential and energy of a positive compactly supported measure are unambiguous: for each fixed z, a Borel function of w that equals k(z,w) for μ-almost every w gives the same potential at z; a Borel kernel equal to k for (μ⊗μ)-almost every (z,w) gives the same energy. Moreover

Uμ(z)≤lim inf⁡n→∞Uμn(z)(z∈C),I(μ)≤lim inf⁡n→∞I(μn).

Finally, if μ({z})>0 for some z then Uμ(z)=+∞, so for atomic measures the diagonal value is not a free convention. No choice principle is required.

Facts & Assumptions

Given: a nonempty compact K⊆C, Borel probability measures μn,μ on K with μn⇒μ, and the kernel, potential and energy conventions of Logarithmic potential and energy of a positive compactly supported measure.

[F1]

On a compactly supported finite positive measure ν, the potential Uν(z)=∫k(z,w) dν(w) is the extended integral of the Borel kernel with diagonal value +∞, and for R>diam⁡supp⁡ν the energy satisfies I(ν)=∬kR dν⊗dν−ν(C)2log⁡R with kR=k+log⁡R (Logarithmic potential and energy of a positive compactly supported measure).

[F2]

For Borel probability measures on a metric space, μn⇒μ means ∫f dμn→∫f dμ for every bounded continuous real f (Weak convergence of borel probability measures).

[F3]

A Borel probability measure has total mass one (Probability measures and probability spaces).

[F4]

The integral over a measurable null set vanishes, and the nonnegative integral is additive (A nonnegative integral over a null set vanishes, Additivity of the nonnegative Lebesgue integral).

[F6]

Monotone convergence: for 0≤fM↑f pointwise measurable, ∫fM dμ↑∫f dμ (Monotone convergence for the integral).

[F7]

A unital point-separating subalgebra of C(K,R) on a nonempty compact metric space is uniformly dense (Real Stone--Weierstrass theorem for compact metric spaces).

[F8]

A finite product of nonempty compact spaces is compact (A product of finitely many compact spaces is compact in the product topology).

[F9]

For a product-integrable function the iterated and product integrals agree (Fubini's theorem for L^1 functions on a sigma-finite product).

[F10]

The product measure μ⊗μ is a measure on the product σ-algebra (The product measure of two sigma-finite measure spaces).

Proof

technique · direct
1.1F1F3given

Let K, μn, μ and ⇒ be as given, fix R>diam⁡K, and set k(z,w):=log⁡1∣z−w∣, kR:=k+log⁡R, Uν(z):=∫k(z,w) dν(w) and I(ν):=∬k dν⊗dν in the conventions of [F1]; then I(ν)=∬kR dν⊗dν−log⁡R for every Borel probability ν on K.

1.2F7F8algebra

The finite sums ∑ifi(z)hi(w) of continuous functions fi,hi on K form a unital subalgebra of C(K×K,R) separating points, so it is uniformly dense by [F7], since K×K is a nonempty compact metric space.

2.1step 1.1F1

The shifted kernel kR(z,w)=log⁡R∣z−w∣ is Borel, nonnegative on K×K, and equal to +∞ exactly on the diagonal.

2.2F4step 1.1algebra

If nonnegative measurable functions f,g agree off a null set E, then ∫f=∫X∖Ef+∫Ef=∫X∖Eg+0=∫g by [F4]; hence, for each fixed z, Borel functions of w agreeing with k(z,w) μ-almost everywhere produce the same value of Uμ(z), and Borel kernels agreeing with k (μ⊗μ)-almost everywhere produce the same energy.

2.3step 1.1F5algebra

Fix z∈C and choose Rz>sup⁡w∈K∣z−w∣; for M>0 the truncation φM(w):=min⁡{M,log⁡Rz∣z−w∣} is continuous on K and bounded by M, because it equals M near w=z and is a minimum of continuous functions elsewhere, and Uν(z)≥∫φM dν−log⁡Rz for every Borel probability ν on K.

2.4step 1.2F2F9F10algebra

For such a finite sum h=∑ifihi, [F9] and [F10] give ∬h dμn⊗dμn=∑i(∫fi dμn)(∫hi dμn)→∑i(∫fi dμ)(∫hi dμ)=∬h dμ⊗dμ.

3.1step 2.3F2algebra

Since φM is bounded and continuous, the weak convergence μn⇒μ gives ∫φM dμn→∫φM dμ, hence lim inf⁡nUμn(z)≥∫φM dμ−log⁡Rz for every M.

3.2step 2.1F5algebra

For M>0 put gM(z,w):=min⁡{M,kR(z,w)}; it is continuous on K×K, bounded by M, and I(ν)+log⁡R=∬kR dν⊗dν≥∬gM dν⊗dν for every Borel probability ν on K.

3.3step 1.2step 2.4algebra

Given ε>0, step 1.2 provides h with ∣gM−h∣≤ε on K×K and hence ∣∬gM dμn⊗dμn−∬gM dμ⊗dμ∣≤2ε+∣∬h dμn⊗dμn−∬h dμ⊗dμ∣, so step 2.4 makes the left side tend to 0: ∬gM dμn⊗dμn→∬gM dμ⊗dμ.

4.1step 3.1step 1.1F6algebra

As M→∞ one has φM↑log⁡Rz∣z−w∣ pointwise, so [F6] gives ∫φM dμ↑∫log⁡Rz∣z−w∣ dμ(w)=log⁡Rz+Uμ(z) in the extended sense; combining with step 3.1 yields Uμ(z)≤lim inf⁡nUμn(z) for every z∈C.

4.2step 3.2step 3.3step 1.1F6algebra

Therefore lim inf⁡n(I(μn)+log⁡R)≥∬gM dμ⊗dμ for every M; since gM↑kR pointwise, [F6] gives ∬gM dμ⊗dμ↑∬kR dμ⊗dμ=I(μ)+log⁡R, so I(μ)≤lim inf⁡nI(μn).

5.1step 1.1F1algebra∎

If μ({z})>0, the diagonal value of the kernel gives Uμ(z)≥k(z,z)μ({z})=+∞; for μ=δz, replacing k(z,z)=+∞ by a finite value c changes Uμ(z) from +∞ to c, so the diagonal value cannot be assigned freely for the class of atomic measures.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6.1-sol)audited 2026-10-02Open item page →

Strict positivity of logarithmic energy for a zero-mass signed charge

Statement

Assume the Axiom of Countable Choice. Let μ,ν be finite positive Borel measures on C with compact support, equal total mass μ(C)=ν(C)=M, and finite logarithmic energy I(μ)<∞, I(ν)<∞ in the normalization of Logarithmic potential and energy of a positive compactly supported measure. Then:

  1. the mixed energy I(μ,ν) is finite, and I(σ):=I(μ)−2I(μ,ν)+I(ν) is a well-defined real number for σ:=μ−ν;
  2. I(σ)≥0, and I(σ)=12∫0∞Qt(σ) dtt where Qt(σ):=∬e−t∣z−w∣2 dσ(z) dσ(w) for t>0;
  3. I(σ)=0 if and only if σ=0.

The case M=0 is included and settled separately: then μ=ν=0, hence I(μ)=I(ν)=I(μ,ν)=0 by the zero clauses of Logarithmic potential and energy of a positive compactly supported measure, so σ=0, the number I(σ)=0 is well defined and the representation of (2) holds because Qt(0)=0 for every t>0; assertion (3) is then a tautology. The proof below therefore assumes M>0.

Countable Choice enters at exactly one point, step 6.1, through the regularity of finite Borel measures on the second-countable space C; the pointwise, Gaussian and convergence steps are choice-free.

Facts & Assumptions

Given: finite positive compactly supported Borel measures μ,ν on C with μ(C)=ν(C)=M and I(μ),I(ν)<∞ (the case M=0 is settled in the Statement, so M>0 below); σ=μ−ν; the compact set K:=supp⁡μ∪supp⁡ν, which is nonempty for M>0 and carries σ; the notation k(z,w)=log⁡(1/∣z−w∣) and I(μ), I(μ,ν) of Logarithmic potential and energy of a positive compactly supported measure; and the Axiom of Countable Choice ACω (The Axiom of Countable Choice (ACω)).

[F1]

For R>diam⁡(supp⁡μ∪supp⁡ν) the shifted kernel kR(z,w)=log⁡(R/∣z−w∣) is nonnegative on the product of the supports, I(μ)=∬kR dμ dμ−M2log⁡R and I(μ,ν)=∬kR dμ dν−M2log⁡R; these values do not depend on the admissible R (Logarithmic potential and energy of a positive compactly supported measure).

[F2]

For σ-finite measure spaces and a product-measurable nonnegative integrand, the iterated integrals and the product integral agree (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).

[F3]

For a product-integrable integrand the iterated integrals agree with the product integral (Fubini's theorem for L^1 functions on a sigma-finite product).

[F4]

For a nondecreasing sequence of measurable functions with nonnegative values, the integrals converge to the integral of the limit (Monotone convergence for the integral).

[F5]

ACω: every countable family of nonempty sets has a choice function (The Axiom of Countable Choice (ACω)).

[F6]

Assume ACω: every Borel measure on a second-countable locally compact Hausdorff space that is finite on compact sets is regular, so for every Borel B, ρ(B)=inf⁡{ρ(U):U⊇B open} (Locally finite Borel measures on second-countable LCH spaces are regular).

[F7]

A unital subalgebra of the real continuous functions on a nonempty compact metric space separating points is dense in the supremum norm (Real Stone--Weierstrass theorem for compact metric spaces).

[F8]

Differentiation under the integral sign for a parameter integral with an integrable dominating function of the derivative (Differentiation under the integral sign).

[F9]

Dominated convergence (Dominated convergence).

[F10]

The support supp⁡ρ of a finite positive Borel measure ρ on C carries ρ and is the smallest closed carrier; a nonzero such measure has nonempty support, and if ρ is carried by a compact set then its support is compact (Support of a finite Borel measure on the plane).

Proof

technique · direct
1.1F2givenalgebra

Fix R with R>diam⁡(supp⁡μ∪supp⁡ν), write r=∣z−w∣, and let 0<ε<1. For 0<a<b the identity ∫0∞(e−at−e−bt) dt/t=log⁡(b/a) follows from Tonelli applied to the nonnegative integrand ∫abe−st ds and ∫0∞e−st dt=1/s; taking a=r2, b=R2 gives log⁡(R/r)=12∫0∞(e−tr2−e−tR2) dt/t when r>0, while at r=0 the integral is +∞; the truncation Kε(z,w):=12∫ε1/ε(e−t∣z−w∣2−e−tR2) dt/t is continuous on C×C, satisfies 0≤Kε≤kR pointwise on {∣z−w∣≤R}, and increases to kR as ε↓0.

1.2F2F3F9algebra

Let t>0 and let ρ,ρ′ be finite signed Borel measures of compact support on C. Put ct:=∫Ce−4t∣u∣2 dA(u), which satisfies 0<ct<∞ since πe−4t≤ct and ct≤π+2π∫1∞e−4trr dr<∞; Ttρ(z):=∫e−2t∣x−z∣2 dρ(x) is a bounded continuous function of z by [F9], and Fubini–Tonelli applied to the triple integral of the nonnegative integrand ∣e−2t∣x−z∣2e−2t∣y−z∣2∣, together with the substitution z=x+y2+u and ∣x−z∣2+∣y−z∣2=12∣x−y∣2+2∣u∣2, gives ∬e−t∣x−y∣2 dρ(x) dρ′(y)=ct−1∫CTtρ(z) Ttρ′(z)‾ dA(z).

2.1step 1.1step 1.2F2F3given

In the situation of step 1.1, expanding σ⊗σ=μ⊗μ−μ⊗ν−ν⊗μ+ν⊗ν and applying Fubini to each finite positive measure with the bounded integrand Kε gives ∬Kε dσ dσ=12∫ε1/ε∬(e−t∣z−w∣2−e−tR2) dσ(z) dσ(w) dt/t; since σ(C)=0 the second exponential contributes e−tR2σ(C)2=0, so by step 1.2 the inner integral is ct−1∫∣Ttσ∣2 dA≥0 for every t>0, and hence Eε:=∬Kε dσ dσ≥0 for every ε∈(0,1).

3.1step 1.1step 2.1F1F4

Put Aε:=∬Kε dμ dμ, Bε:=∬Kε dμ dν, Cε:=∬Kε dν dν, so that Eε=Aε−2Bε+Cε by step 2.1. Since 0≤Kε↑kR pointwise by step 1.1, [F4] gives the monotone limits Aε↑A:=∬kR dμ dμ=I(μ)+M2log⁡R<∞, Cε↑C:=I(ν)+M2log⁡R<∞ and Bε↑B:=∬kR dμ dν∈[0,∞], using [F1]. From 0≤Eε=Aε−2Bε+Cε≤A+C−2Bε we get 2Bε≤A+C for every ε, so B≤(A+C)/2<∞: the mixed energy I(μ,ν)=B−M2log⁡R is finite, and I(σ):=I(μ)−2I(μ,ν)+I(ν)=A−2B+C=lim⁡ε↓0Eε is a well-defined real number with I(σ)≥0.

4.1step 1.2step 2.1step 3.1F4

Combining the integral representation of Eε in step 2.1 with the convergence Eε→I(σ) of step 3.1 shows 12∫ε1/εQt(σ) dt/t↑I(σ) as ε↓0, where Qt(σ)=∬e−t∣z−w∣2 dσ dσ=ct−1∫∣Ttσ∣2 dA≥0 for every t>0 by step 1.2; since t↦Qt(σ) is measurable and nonnegative, [F4] gives 12∫0∞Qt(σ) dt/t=I(σ).

5.1step 1.2step 4.1F8F9F10given

Suppose I(σ)=0. Then ∫0∞Qt(σ) dt/t=0 by step 4.1, so Qt(σ)=0 for almost every t>0 and in particular there is t0∈[1,2] with Qt0(σ)=0; by step 1.2 this means ∫∣Tt0σ∣2 dA=0, so Tt0σ=0 almost everywhere, and since z↦Tt0σ(z) is continuous by [F9] one has Tt0σ≡0 on C. The functions z↦∫e−2t0∣x−z∣2 dσ(x) and their complex derivatives ∂zj∂zˉk are continuous on {∣z∣≤1} by [F8] applied iteratively, with dominating functions bounded on ∣z∣≤1 by a constant times a power of diam⁡K+1, which is integrable against the finite signed measure σ carried by the compact set K; since Tt0σ≡0, all these derivatives vanish at z=0. Expanding e−2t0∣x−z∣2=e−2t0∣x∣2e2t0xˉz+2t0xzˉ−2t0zzˉ shows that the (j,k) derivative at zero is e−2t0∣x∣2 times (2t0)j+kxˉ jxk plus a linear combination of terms xˉ j−rxk−r with 1≤r≤min⁡(j,k). Induction on j+k therefore gives ∫xˉ jxke−2t0∣x∣2 dσ(x)=0 for all j,k≥0. The monomials xˉjxk span the polynomials in the real variables Re⁡x,Im⁡x (equivalently, the polynomials in x and xˉ), so ∫P(x)e−2t0∣x∣2 dσ(x)=0 for every such polynomial P.

6.1step 5.1F4F5F6F7F10given

Assume I(σ)=0 and, seeking a contradiction, σ≠0; by [F10] and M>0 the set K is a nonempty compact subset of C, and σ is carried by K because μ(C∖K)=ν(C∖K)=0 by [F10]. For every g∈C(K,R) the function g(x)e2t0∣x∣2 is continuous on K, so by [F7] applied to the polynomials in the real variables Re⁡x,Im⁡x — a unital subalgebra of C(K,R) separating points of K — there are such polynomials Pn with Pn→ge2t0∣⋅∣2 uniformly on K; since ∣e−2t0∣x∣2∣≤1 on K, the integrals of bounded Borel functions against the finite signed measure σ are bounded by μ(K)+ν(K)<∞ in absolute value, and σ is carried by K, step 5.1 gives ∫Kg dσ=lim⁡n∫KPn(x)e−2t0∣x∣2 dσ(x)=0. For a proper open U⊊C, the functions ψj(x):=min⁡(1,j d(x,C∖U)) are continuous with 0≤ψj↑1U; hence ∫ψj dμ=∫ψj dν, and [F4] gives μ(U)=ν(U). Equality also holds for U=C because both measures have mass M. By [F6] the finite Borel measures μ,ν are outer regular, so for every Borel B one has μ(B)=inf⁡U⊇Bμ(U)=inf⁡U⊇Bν(U)=ν(B), that is, σ=0, contradicting σ≠0. Hence I(σ)=0 forces σ=0.

7.1step 3.1step 4.1step 6.1F1∎

Conversely σ=0 means μ=ν, hence I(μ,ν)=I(μ) and I(σ)=I(μ)−2I(μ)+I(μ)=0 by the definition in step 3.1; combined with step 6.1 this proves the equivalence (3), while the finiteness of I(μ,ν) and the well-definedness of I(σ) with I(σ)≥0 were proved in step 3.1 and the representation of I(σ) in step 4.1.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-10-02Open item page →

Existence and uniqueness of the equilibrium measure

Statement

Assume the Axiom of Choice. Let K⊆C be nonempty and compact with cap⁡(K)>0. Then there is exactly one Borel probability measure μK on K with

I(μK)=VK=inf⁡μ∈P(K)I(μ)<+∞.

The measure μK is the equilibrium measure of K. If cap⁡(K)=0 then VK=+∞, every μ∈P(K) has I(μ)=+∞, and no equilibrium measure is asserted.

The Axiom of Choice is spent twice: through Countable Choice for the minimizing sequence, and through the weak sequential compactness of probability laws of Probability laws on a compact metric space have weakly convergent subsequences. The energy lower semicontinuity used below is choice-free (Lower semicontinuity of logarithmic potential and energy).

Facts & Assumptions

Given: a nonempty compact set K⊆C with cap⁡(K)>0, the probability measures P(K) on K, the Robin constant VK and the logarithmic energy I of Robin constant and logarithmic capacity of a compact set and Logarithmic potential and energy of a positive compactly supported measure, and the Axiom of Choice (The Axiom of Choice).

[F1]

P(K) is the set of Borel probability measures on K (Probability measures and probability spaces), each of compact support contained in K; VK=inf⁡μ∈P(K)I(μ)∈(−∞,+∞] and cap⁡(K)=exp⁡(−VK) when VK<+∞ and cap⁡(K)=0 when VK=+∞, so cap⁡(K)>0 is equivalent to VK<+∞ (Robin constant and logarithmic capacity of a compact set).

[F2]

For finite positive Borel measures μ,ν of compact support the mixed energy I(μ,ν)=∬k dμ dν∈(−∞,+∞] is symmetric, I(μ,ν)=I(ν,μ), and it is computed from the shifted nonnegative kernel kR=k+log⁡R with R>diam⁡(supp⁡μ∪supp⁡ν) by I(μ,ν)=∬kR dμ dν−μ(C)ν(C)log⁡R (Logarithmic potential and energy of a positive compactly supported measure).

[F3]

If μn,μ∈P(K) with μn⇒μ in the sense of Weak convergence of borel probability measures, then Uμ(z)≤lim inf⁡nUμn(z) for every z∈C and I(μ)≤lim inf⁡nI(μn) (Lower semicontinuity of logarithmic potential and energy).

[F4]

Assume the Axiom of Choice: every sequence in P(K) has a subsequence converging weakly to some element of P(K) (Probability laws on a compact metric space have weakly convergent subsequences).

[F5]

Assume Countable Choice, and let μ,ν be finite positive Borel measures on C with compact support, equal total mass and finite energy. Then I(μ,ν) is finite, I(μ−ν):=I(μ)−2I(μ,ν)+I(ν) is a real number, I(μ−ν)≥0, and I(μ−ν)=0 if and only if μ=ν (Strict positivity of logarithmic energy for a zero-mass signed charge).

[F6]

The Axiom of Choice implies Dependent Choice, which implies Countable Choice (AC implies DC implies countable choice, The Axiom of Countable Choice (ACω)).

[F7]

If S⊆R is nonempty and bounded below with infimum L, then for every ε>0 there is s∈S with s<L+ε (Epsilon characterisation of the infimum).

[F8]

Finite nonnegative weighted sums of measures are measures, and a convex combination (1−t)μ+tν with 0≤t≤1 of probability measures is again a probability measure (Nonnegative scalar multiples and countable weighted sums of measures are measures, Probability measures and probability spaces).

Proof

technique · direct
1.1F1F7given

Since cap⁡(K)>0, [F1] and the finite-energy construction in Robin constant and logarithmic capacity of a compact set give the nonempty real set EK:={I(μ):μ∈P(K), I(μ)<+∞} with inf⁡EK=VK∈R. It is bounded below by −log⁡diam⁡K. The infinite energies do not alter its real lower bounds. Applying [F7] to EK, for each n≥1 there is a finite energy below VK+1/n, so {μ∈P(K):I(μ)<VK+1/n} is nonempty.

2.1step 1.1F6

By [F6] the Axiom of Choice yields Countable Choice, so there is a sequence (μn)n≥1 in P(K) with I(μn)<VK+1/n for every n.

3.1step 2.1F4

By [F4], which assumes the Axiom of Choice of the hypothesis, the sequence (μn) has a subsequence (μnk)k≥1 and a limit μ∈P(K) with μnk⇒μ.

4.1step 3.1F3F1

Applying [F3] to the weakly convergent subsequence of step 3.1 and using step 2.1 along it gives I(μ)≤lim inf⁡kI(μnk)≤lim inf⁡k(VK+1/nk)=VK, while VK≤I(μ) holds because VK is an infimum over P(K)∋μ; hence I(μ)=VK<+∞.

5.1step 4.1F2F5F8given

For uniqueness let μ,ν∈P(K) satisfy I(μ)=I(ν)=VK; both have compact support in K, finite energy and total mass 1, so [F5] applies to the pair and the average σ:=12μ+12ν lies in P(K) by [F8], whence I(σ)≥VK. Expanding the double integral of σ⊗σ=14μ⊗μ+14μ⊗ν+14ν⊗μ+14ν⊗ν and using I(μ,ν)=I(ν,μ) from [F2] gives the finite value I(σ)=14I(μ)+12I(μ,ν)+14I(ν); comparing with the companion expansion I(μ−ν)=I(μ)−2I(μ,ν)+I(ν) of the same bilinear form from [F5], this says I(12(μ+ν))=12I(μ)+12I(ν)−14I(μ−ν). Substituting I(μ)=I(ν)=VK yields VK≤12VK+12I(μ,ν), that is, I(μ,ν)≥VK.

6.1step 5.1F5

With σ as in step 5.1 the signed measure μ−ν also meets the hypotheses of [F5], so I(μ−ν)=I(μ)−2I(μ,ν)+I(ν)≤VK−2VK+VK=0 by step 5.1, while [F5] gives I(μ−ν)≥0; hence I(μ−ν)=0 and [F5] gives μ−ν=0, that is, μ=ν, so the minimizer of step 4.1 is the only minimizer and is the stated equilibrium measure μK.

7.1step 4.1step 6.1F1∎

The zero-capacity case is [F1] verbatim: if cap⁡(K)=0 then VK=+∞, so an element μ∈P(K) with I(μ)=VK would have I(μ)=+∞ by definition of the extended infimum, and the statement asserts nothing about the existence of such a μ, which completes the proof.

Remarks

The equilibrium measure is a probability on the conductor. The minimizer μK of the theorem is carried by K, since P(K) consists of the probability measures on K; this is used by every later item that integrates against μK over K.

Uniqueness is strict convexity of the energy. The proof shows more than the statement needs: any two finite-energy probabilities of equal mass on a common compact carrier satisfy I(12(μ+ν))=14I(μ)+12I(μ,ν)+14I(ν) and μ≠ν forces I(μ−ν)>0 by Strict positivity of logarithmic energy for a zero-mass signed charge.

Where the two choice uses sit. Countable Choice selects one measure per level n in step 2.1; the Axiom of Choice itself is the hypothesis of the weak-compactness statement [F4] used in step 3.1. The lower semicontinuity [F3] and the infimum characterization [F7] are choice-free.

DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-10-02Open item page →

Capacity-polar sets, quasi-everywhere, and subharmonic polar sets

Definition

Let K⊆C be compact; call it the conductor when it is fixed as the ambient set of a quasi-everywhere statement. Capacity is the logarithmic capacity of Robin constant and logarithmic capacity of a compact set, whose conventions cap⁡(∅)=0 and cap⁡(F)>0 or =0 for nonempty compact F are used verbatim.

Capacity-polar sets. A set E⊆C is capacity-polar when

cap⁡(F)=0for every compact F⊆E.

The restriction to compact subsets is deliberate: capacity is defined here for compact sets, so the definition tests E through its compact parts, and a capacity-polar set may be neither compact nor Borel. A compact F is capacity-polar exactly when cap⁡(F)=0, and ∅ is capacity-polar by the convention cap⁡(∅)=0. A set E is nonpolar when it is not capacity-polar, that is, when it contains a compact set of positive capacity.

Quasi-everywhere. Let P be a property of the points of a compact conductor K, that is, a statement P(z) for z∈K. One says that P holds quasi-everywhere on K, abbreviated P holds q.e. on K, when there is a Borel capacity-polar set E⊆K with

P(z) holds for every z∈K∖E.

The exceptional set E is required to be Borel so that the statement has a measurable exceptional carrier; the definition itself asks nothing about the values of P on E. If P holds everywhere on K it holds q.e. on K, with E=∅. A set N⊆K is called q.e.-negligible when it is contained in a Borel capacity-polar subset of K; a property holds q.e. exactly when it fails on a q.e.-negligible set.

Subharmonic polar sets. A set E⊆C is subharmonically polar when for every x∈E there are a complex domain Ux∋x and a function ux subharmonic on Ux (Subharmonic functions on plane domains) with

E∩Ux ⊆ {z∈Ux:ux(z)=−∞}.

Here a complex domain is a nonempty connected open set (A complex domain is a nonempty connected open subset of C). Subharmonicity already requires that ux be not identically −∞ on Ux; the requirement in the literature that the witness be "not identically −∞" is therefore automatic in this convention. If E is contained in a single complex domain carrying one such witness, the local condition holds with that one function; the definition uses the local form so that unbounded or noncompact E need no global witness.

Remarks

The two notions are defined independently and are not identified here. Capacity-polar is an inner-capacity condition on compact subsets, while subharmonically polar is a local −∞-locus condition. Under Dependent Choice, for compact E the two are equivalent (Compact capacity-zero sets and subharmonic minus-infinity loci), and that equivalence is a theorem, not part of this definition. To pass from local witnesses to the global witness in that lemma when E is compact, cover E by finitely many open discs whose closed discs lie in the respective local witness domains. Each compact piece obtained by intersecting E with one of these closed discs has capacity zero by the compact converse in the lemma. Its specified finite-union clause supplies a global subharmonic witness for their union E, and its compact converse gives cap⁡(E)=0. The global-to-local direction uses the same witness on each neighbourhood. In particular, no statement here asserts that a capacity-polar set of a compact conductor is the −∞ locus of one subharmonic function, nor that the definition extends to arbitrary non-Borel sets.

Polarity inherits the empty and inclusion cases. Every subset of a capacity-polar set is capacity-polar, since every compact subset of the subset is a compact subset of the larger set; in particular ∅ is capacity-polar, and a set is capacity-polar if and only if all its subsets are. The corresponding statements for subharmonically polar sets hold by restricting the local witnesses.

The diagonal convention is not affected. The exceptional sets here are compared only through capacities and −∞ loci; no change of the logarithmic kernel on a null set is made or permitted by this definition, and the diagonal value +∞ of Logarithmic potential and energy of a positive compactly supported measure plays no role.

Choice. No choice principle is used in this definition. "Every compact F⊆E" is a statement about a fixed collection of sets, the exceptional Borel set is quantified rather than selected, and the local witnesses ux are existential.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-10-02Open item page →

Maximum principle for a compact logarithmic potential

Statement

Let μ≠0 be a finite positive Borel measure on C carried by a compact set, let S=supp⁡μ, and let M∈R. If Uμ(x)≤M for every x∈S, then Uμ(z)≤M for every z∈C. No choice principle is required.

Facts & Assumptions

Given: a nonzero finite positive Borel measure μ on C carried by a compact set, its support S=supp⁡μ, a real number M, the hypothesis Uμ≤M on S, and the kernel and potential conventions of Logarithmic potential and energy of a positive compactly supported measure.

[F1]

The kernel is k(z,w)=log⁡1∣z−w∣ with the diagonal value k(w,w):=+∞, it is Borel, and k(z,w)=+∞ exactly when z=w; the potential Uμ(z)=∫Ck(z,w) dμ(w)∈(−∞,+∞] is the extended integral of this Borel function, and pμ=−Uμ=∫log⁡∣z−w∣ dμ(w) (Logarithmic potential and energy of a positive compactly supported measure).

[F2]

The support is the complement of the union of all open μ-null sets; it is closed, it carries μ, it is contained in every closed carrier, and μ≠0 holds if and only if supp⁡μ≠∅ (the definition and its countable-basis proof in the Remark of Support of a finite Borel measure on the plane).

[F3]

For decreasing measurable sets E0⊇E1⊇⋯ with μ(En0)<+∞ for some n0, one has μ(⋂nEn)=inf⁡nμ(En) (Continuity from above when one set has finite measure).

[F4]

If the parameter integrand is integrable for every parameter, is differentiable in the parameter almost everywhere, and its measurable parameter derivative has a single integrable majorant on the parameter interval, the derivative passes inside the integral (Differentiation under the integral sign). Dominated convergence gives continuity of parameter integrals of continuous integrands under a single integrable majorant (Dominated convergence).

[F5]

The function z↦log⁡∣z−a∣ is smooth and harmonic on C∖{a}, so its Laplacian vanishes there (Logarithmic modulus is harmonic off its centre).

[F6]

A real-valued function on an open plane set is harmonic when it is C2 and its Laplacian vanishes there (Plane harmonic functions).

[F7]

A continuous real-valued function on a nonempty compact metric space is bounded and attains its greatest and least values (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value).

[F9]

A point lies in the boundary ∂A exactly when every ball about it meets both A and its complement, and for open A one has A‾=A∪∂A (Interior, closure, boundary, limit point, isolated point and dense subset of a metric space).

[F10]

Every connected component of an open subset of Rn is open and path-connected (Every connected component of an open subset of Rn is open and polygonally connected).

[F12]

A harmonic function on a complex domain that has an interior local maximum or interior local minimum is constant on the domain (Maximum and minimum principles for plane harmonic functions).

[F14]

A complex domain is a nonempty connected open subset of C (A complex domain is a nonempty connected open subset of C).

Proof

technique · direct
1.1F1given

Set S:=supp⁡μ, m:=μ(C)>0 and p:=pμ=−Uμ, so that p(z)=∫Clog⁡∣z−w∣ dμ(w)∈[−∞,∞) for every z∈C.

2.1F2step 1.1given

By [F2] the set S is closed, carries μ and is contained in every closed carrier; since μ≠0 is carried by a compact set, S is a nonempty compact subset of that carrier and μ(C∖S)=0, so the function p of step 1.1 satisfies p(z)=∫Slog⁡∣z−w∣ dμ(w) for every z.

2.2F1step 1.1givenalgebra

For x∈S the hypothesis gives p(x)≥−M>−∞ for the function p of step 1.1; were μ({x})>0, the diagonal contributes +∞ to the integral for Uμ(x), while the kernel on the compact support is bounded below, so Uμ(x)=+∞, that is p(x)=−∞, so μ({x})=0.

2.3step 1.1givenassume-contraalgebra

Suppose, for contradiction, that p(z0)<−M for some z0∈C; then z0∉S by the hypothesis at the points of S, and with p as in step 1.1 one can choose c with p(z0)<c<−M (if p(z0) is finite take c=(p(z0)−M)/2 and if p(z0)=−∞ take c=−M−1) and set A:={z∈C∖S:p(z)<c}.

3.1step 2.2F3algebra

Hence for every x∈S the decreasing measurable sets B(x,1/j) satisfy μ(B(x,1/j))↓μ({x})=0 as j→∞: continuity from above applies to the finite measure μ, and μ({x})=0 is step 2.2.

3.2step 1.1step 2.1F4F5F6algebra

Since S carries μ by step 2.1, for z0∉S with δ:=d(z0,S)>0 the kernel log⁡∣z−w∣ and its partial derivatives in z of order at most two are continuous and uniformly bounded on B(z0,δ/2)×S. These constant bounds are μ-integrable because μ is finite. Apply [F4] successively along coordinate intervals to the kernel and its first derivatives: the measurable differentiated integrands obey these bounds, so Δp(z)=∫SΔzlog⁡∣z−w∣ dμ(w)=0 by [F5]. Dominated convergence in [F4] makes the resulting derivatives continuous. Thus p∈C2 locally off S and is harmonic there by [F6].

3.3step 2.1F7algebra

Fix x∈∂S, ε∈(0,1) and z∈C∖S with ∣z−x∣<ε/8; the continuous function w↦∣z−w∣ attains a least value over the nonempty compact S of step 2.1 at some y∈S, so ∣y−z∣=d(z,S)≤∣z−x∣ and hence ∣y−x∣≤2∣z−x∣ and ∣y−w∣≤∣y−z∣+∣z−w∣≤2∣z−w∣ for every w∈S; the estimates below hold for every nearest point y, so only its existence is used.

3.4step 2.1step 2.3F8algebra

The set A of step 2.3 is bounded: with r0:=max⁡{1,sup⁡w∈S∣w∣} (finite by step 2.1) and ∣z∣≥2r0 one has ∣z−w∣≥∣z∣/2 for every w∈S, so by step 2.1 p(z)≥mlog⁡(∣z∣/2)→+∞ and p(z)≥c for all large ∣z∣; therefore A‾ is closed and bounded, hence compact.

4.1step 3.3algebra

On the region F:={w:∣x−w∣≥ε} both ∣z−w∣ and ∣y−w∣ exceed 3ε/4 for the points z,y of step 3.3, so the mean value estimate for the logarithm gives ∣log⁡∣z−w∣−log⁡∣y−w∣∣≤8∣z−x∣/(3ε), while on the region N:={w:∣x−w∣<ε} the nearest-point inequality of step 3.3 gives log⁡∣z−w∣≥log⁡∣y−w∣−log⁡2.

5.1step 2.1step 3.3step 4.1givenalgebra

Splitting the integral of step 2.1 at N and F and integrating the two pointwise bounds of step 4.1 for the nearest point y of step 3.3 gives p(z)≥p(y)−μ(B(x,ε))log⁡2−8m∣z−x∣/(3ε)≥−M−μ(B(x,ε))log⁡2−8m∣z−x∣/(3ε), the last inequality by the hypothesis at y∈S; the near part of ∫log⁡∣y−w∣ dμ is finite because p(y)≥−M is finite and the integrand on F is bounded, so no difference of infinities occurs.

6.1step 3.1step 5.1algebra

Consequently, for every η>0 there is r>0 with p(z′)≥−M−η whenever z′∈C∖S and ∣z′−x∣<r: by step 3.1 choose j≥2 with μ(B(x,1/j))log⁡2≤η/2, and put ε:=1/j and r:=min⁡{ε/8, 3εη/(16m)}>0, so that the last term of step 5.1 is less than η/2; thus lim sup⁡z′→x, z′∉SUμ(z′)≤M at every x∈∂S.

7.1step 6.1step 2.3F9algebra

The set A of step 2.3 is nonempty and open, and A‾∩∂S=∅: since c<−M and step 6.1 applies at every x∈∂S with η:=(−M−c)/2>0, giving −M−η=(−M+c)/2>c, the set A misses a whole ball about each boundary point, so no limit point of A lies in ∂S; hence A‾⊆C∖S, because a point of A‾ lying in S would have every ball about it meeting both S and C∖S, that is, would lie in ∂S.

8.1step 2.3step 7.1step 3.4F7F9algebra

The function p is continuous on the nonempty compact set A‾ of step 3.4 and attains there a minimum at some a∈A‾; every point b∈∂A satisfies p(b)=c, because b∈A‾⊆C∖S by step 7.1 and p is continuous at b, points of A approach b with p<c and points outside A approach b with p≥c (on S because p≥−M>c by the hypothesis, on C∖S by the definition of A in step 2.3); since p(a)≤p(z0)<c, the minimiser a lies in A, and p(z)≥c>p(a) for every z∈C∖S outside A‾, so p attains a global minimum over C∖S at the interior point a.

9.1step 3.2step 8.1F10F11F12F14

Let Ω be the connected component of C∖S containing a; it is open and path-connected, hence a domain, p∣Ω is harmonic by step 3.2, and a∈Ω is an interior local minimum of p∣Ω, so [F12] forces p≡p(a) on Ω, with p(a)<c<−M by step 8.1.

10.1step 2.1step 9.1F9F13

The component Ω is a proper subset of C, because Ω⊆C∖S and S≠∅ by step 2.1; hence ∂Ω≠∅, since otherwise Ω‾=Ω∪∂Ω=Ω would make the nonempty proper subset Ω both open and closed in the connected space C.

10.2step 9.1F9F10algebra

Every point ζ∈∂Ω lies in ∂S: it lies in Ω‾⊆C∖S‾, and if ζ∉S then ζ∈C∖S, whose component Ω′ is open by [F10] and disjoint from Ω, so Ω‾ is contained in the closed set C∖Ω′, which does not contain ζ; hence ζ∈S, and every ball about ζ also meets C∖S because ζ is a boundary point of the domain Ω of step 9.1, so ζ∈∂S.

10.3step 3.4step 9.1contradiction

If Ω were unbounded, choose R>2r0 with mlog⁡(R/2)>p(a) and a point z∈Ω with ∣z∣≥R; then step 3.4 gives p(z)≥mlog⁡(∣z∣/2)≥mlog⁡(R/2)>p(a)=p(z) by step 9.1, a contradiction.

11.1step 6.1step 9.1step 10.1step 10.2contradiction

If Ω were bounded, step 10.1 gives a point ζ∈∂Ω, hence ζ∈∂S by step 10.2, and step 6.1 with η:=(−M−p(a))/2>0 gives a ball B(ζ,r) with p(z)≥−M−η=(−M+p(a))/2>p(a) for all z∈(C∖S)∩B(ζ,r), using p(a)<−M from step 9.1; but ζ∈∂Ω makes B(ζ,r) meet Ω, and any z in that intersection satisfies p(z)=p(a) by step 9.1, a contradiction.

12.1step 2.3step 11.1step 10.3discharge-contradictionalgebra∎

Both cases of steps 11.1 and 10.3 are impossible, so the supposition of step 2.3 is false: p≥−M holds on C∖S, and on S it is exactly the hypothesis, so p≥−M on all of C and therefore Uμ=−p≤M everywhere.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-10-02Open item page →

Frostman inequalities and quasi-everywhere equilibrium equality

Statement

Assume the Axiom of Choice. Let K⊆C be compact with cap⁡(K)>0 and let μK be its equilibrium measure (Existence and uniqueness of the equilibrium measure). Then

UμK(z)≤VKfor every z∈C,

and UμK(z)=VK outside a Borel capacity-polar subset of K; the exceptional set may be taken to be a countable union of compact sets of capacity zero. Here UμK, VK and cap are those of Logarithmic potential and energy of a positive compactly supported measure, Robin constant and logarithmic capacity of a compact set and the polarity convention of Capacity-polar sets, quasi-everywhere, and subharmonic polar sets.

The Axiom of Choice is spent through the equilibrium-measure existence theorem Existence and uniqueness of the equilibrium measure, applied to K and to the nonpolar compact subsets of K that occur in the argument, and through the Evans-potential lemma Compact capacity-zero sets and subharmonic minus-infinity loci used for the countable-union closure of the polar class; that lemma assumes only Dependent Choice, which the Axiom of Choice supplies. The potential and energy estimates themselves are choice-free.

Facts & Assumptions

Given: a nonempty compact set K⊆C with cap⁡(K)>0, its equilibrium measure μK, the Axiom of Choice, and the potential, energy, capacity and polarity conventions of Logarithmic potential and energy of a positive compactly supported measure, Robin constant and logarithmic capacity of a compact set, Capacity-polar sets, quasi-everywhere, and subharmonic polar sets and Support of a finite Borel measure on the plane.

[F1]

Let ρ,σ be finite positive Borel measures carried by a common compact set L, and take R>max⁡{1,diam⁡L}. Then kR=k+log⁡R≥0 on L×L. If 0≤σ≤ρ, product measure monotonicity gives σ⊗σ≤ρ⊗ρ, hence I(σ)≤I(ρ)+(ρ(C)2−σ(C)2)log⁡R, which is finite when I(ρ)<+∞. If ρ and σ have equal total mass and finite energies, Countable Choice and Strict positivity of logarithmic energy for a zero-mass signed charge give a finite mixed energy and I(ρ,σ)=12(I(ρ)+I(σ)−I(ρ−σ))≤12(I(ρ)+I(σ)). No pointwise monotonicity Uσ≤Uρ is asserted: the unshifted kernel changes sign (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).

For a finite positive Borel measure ν of compact support, Uν(z)=∫k(z,w) dν(w) with k(z,w)=log⁡1∣z−w∣∈(−∞,+∞] and diagonal value +∞, pν=−Uν is the subharmonic normalisation, I(ν)=∬k dν dν∈(−∞,+∞] computed from the shifted nonnegative kernel kR=k+log⁡R for R>diam⁡supp⁡ν, and the mixed energy I(ν,ρ)=∬k dν dρ is symmetric (Logarithmic potential and energy of a positive compactly supported measure). If diam⁡supp⁡ν>0 then k≥−log⁡diam⁡supp⁡ν on supp⁡ν×supp⁡ν, so I(ν)=∬k dν dν>−∞.

[F2]

VK=inf⁡ν∈P(K)I(ν)∈(−∞,+∞] and cap⁡(K)=e−VK when VK<+∞ and 0 otherwise; so cap⁡(K)>0 is equivalent to VK<+∞ (Robin constant and logarithmic capacity of a compact set).

[F3]

The support S=supp⁡μ of a finite positive Borel measure μ is closed, carries μ, is contained in every closed carrier, and μ≠0 if and only if S≠∅; in particular every ball about a point of S has positive μ-measure (Support of a finite Borel measure on the plane).

[F4]

Capacity-polar means that every compact subset has capacity zero; quasi-everywhere means outside a Borel capacity-polar set (Capacity-polar sets, quasi-everywhere, and subharmonic polar sets, Robin constant and logarithmic capacity of a compact set).

[F5]

Assume the Axiom of Choice: every nonempty compact K with cap⁡(K)>0 has exactly one equilibrium measure μK, and I(μK)=VK=inf⁡P(K)I<+∞; if cap⁡(K)=0 then VK=+∞ and no equilibrium measure is asserted (Existence and uniqueness of the equilibrium measure).

[F6]

pν is subharmonic on C for every finite positive compactly supported ν, hence upper semicontinuous with values in [−∞,∞), and Uν=−pν is lower semicontinuous with values in (−∞,+∞]; consequently every sublevel set {Uν≤c} is closed (Distributional Laplacian of a compact logarithmic potential, Subharmonic functions on plane domains).

[F7]

If ν≠0 is finite positive, compactly supported and Uν≤M on supp⁡ν for some real M, then Uν≤M on all of C (Maximum principle for a compact logarithmic potential).

[F8]

Assume Dependent Choice. A compact set E⊆C has cap⁡(E)=0 if and only if there are a complex domain Ω⊇E and a function subharmonic on Ω with E⊆{u=−∞}; and if (Fj)j≥1 is a specified sequence of compact sets with cap⁡(Fj)=0 for every j, then there is a function u subharmonic on all of C, not identically −∞, with u=−∞ on ⋃jFj (Compact capacity-zero sets and subharmonic minus-infinity loci).

[F9]

The Axiom of Choice implies Dependent Choice, which implies Countable Choice (AC implies DC implies countable choice), the choice principle used by [F6].

Proof

technique · direct
1.1F2F3F5given

By [F2] and [F5] the hypothesis cap⁡(K)>0 gives VK<+∞ and the equilibrium measure μ:=μK∈P(K) with I(μ)=VK; μ is carried by K, so by [F3] its support S=supp⁡μ is a nonempty compact subset of K with μ(C∖S)=0 and μ(B)>0 for every ball B about a point of S.

2.1step 1.1F1F9

Since diam⁡K>0 the kernel is bounded below on K×K, so [F1] gives I(μ)=∬k dμ dμ=∫CUμ dμ by Tonelli and ∫SUμ dμ=I(μ)=VK; moreover, by [F1] with the common carrier K and R>max⁡{1,diam⁡K}, every finite positive measure σ≤μ carried by K has I(σ)≤I(μ)+(μ(C)2−σ(C)2)log⁡R<+∞, and the mixed energy of two finite positive compactly supported measures with finite energy is finite; in particular I(μ,ν)<+∞ for every ν∈P(K) with I(ν)<+∞.

3.1step 2.1F1F2F5

Minimality inequality: for every ν∈P(K) with I(ν)<+∞ and I(μ,ν)<+∞ one has I(μ,ν)≥VK. Indeed, for t∈[0,1] the convex combination μt:=(1−t)μ+tν lies in P(K), so I(μt)≥VK=I(μ) by [F2] and [F5]; expanding the double integral of μt⊗μt with [F1] gives I(μt)=(1−t)2I(μ)+2t(1−t)I(μ,ν)+t2I(ν), so subtracting I(μ), dividing by 2t>0 and letting t↓0 yields I(μ,ν)−I(μ)≥0, that is I(μ,ν)≥VK.

4.1step 1.1step 2.1step 3.1F1F3F6assume-hypcontradiction

Claim: Uμ(x0)≤VK for every x0∈S. Suppose not, and choose η>0 with Uμ(x0)>VK+η (if Uμ(x0)=+∞ any η>0 will do); by [F6] the set {Uμ>VK+η} is open, so there is r>0 with Uμ>VK+η on the disc B:=B(x0,r); put m:=μ(K∩B), so 0<m≤1 by step 1.1. If m=1 then μ is carried by K∩B, so by step 2.1, where ∫CUμ dμ=I(μ)=VK is a finite real number, VK=∫K∩BUμ dμ≥m(VK+η)=VK+η>VK, a contradiction; hence 0<m<1. The restriction σ:=μ ⁣↾K∖B satisfies 0≤σ≤μ and σ(C)=1−m>0, so ν:=σ/(1−m)∈P(K) has I(ν)=I(σ)/(1−m)2<+∞ and I(μ,ν)<+∞ by step 2.1, while the pointwise bound on B and ∫CUμ dμ=VK give I(μ,ν)=11−m∫K∖BUμ dμ=11−m(VK−∫K∩BUμ dμ)≤VK−m(VK+η)1−m=VK−mη1−m<VK, contradicting step 3.1; so no such x0 exists.

5.1step 1.1step 4.1F7

Since μ≠0 and Uμ≤VK on S=supp⁡μ by step 4.1, the maximum principle [F7] with M:=VK gives UμK(z)≤VK for every z∈C, which proves the first assertion and in particular gives the finiteness I(μ,νF)=∫Uμ dνF≤VK for every νF∈P(K) below.

6.1step 3.1step 5.1F4F5F6contradiction

For n≥1 the set En:={z∈K:Uμ(z)≤VK−1/n} is compact, because K is compact and {Uμ≤c} is closed by [F6]; if F⊆En were compact with cap⁡(F)>0, then [F5] applied to F would give an equilibrium measure νF with supp⁡νF⊆F, and steps 3.1 and 5.1 would give the contradictory chain VK≤I(μ,νF)=∫Uμ dνF≤VK−1/n<VK; hence every compact subset of En has capacity zero.

7.1step 5.1step 6.1F4F8F9∎

By step 6.1 each En has the property that every compact subset has capacity zero, in the sense of [F4]. Hence E:=⋃n≥1En is capacity-polar: if F⊆E is compact, then F=⋃n≥1(F∩En) is a specified countable union of compact sets F∩En⊆En of capacity zero, so the specified-Fσ clause of [F8] supplies a function subharmonic on C that equals −∞ on all of F, and the compact clause of [F8], applied with Ω=C, gives cap⁡(F)=0. Thus E is a Borel capacity-polar subset of K (it is a countable union of compact sets), and for z∈K∖E one has Uμ(z)>VK−1/n for every n≥1, hence Uμ(z)≥VK, while step 5.1 gives Uμ(z)≤VK; therefore Uμ=VK on K∖E, which is the second assertion.

Remarks

Why the two halves are different. The inequality Uμ≤VK everywhere is the part that uses the minimality of μ through the competitor ν obtained by deleting a small disc of large potential; the reverse inequality Uμ≥VK needs no minimality beyond the perturbed-copy inequality of step 3.1 and in fact only holds quasi-everywhere, as the isolated-point example of Capacity-polar sets, quasi-everywhere, and subharmonic polar sets shows.

Choice. The Axiom of Choice enters through [F5] for K and again for the compact sets F⊆En of step 6.1, and through [F8] in step 7.1, whose Evans-potential lemma assumes only Dependent Choice; the running argument is otherwise choice-free, and [F6] needs only Countable Choice, which [F9] supplies.

Sharpness of the exceptional set. The exceptional set is a countable union of compact zero-capacity sets, and step 7.1 shows through [F8] that such a union is again capacity-polar (the definition alone tests only compact subsets and does not supply the countable-union closure); so the statement is exactly the classical "equals VK quasi-everywhere on K".

PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-10-02Open item page →

Reciprocity inequality for logarithmic potentials

Statement

Assume the Axiom of Choice. Let K⊆C be compact with cap⁡(K)>0 and let μK be its equilibrium measure. Then for every compactly supported Borel probability measure σ on C,

inf⁡z∈KUσ(z) ≤ VK=log⁡1cap⁡(K).

The Axiom of Choice enters only through the existence of the equilibrium measure and through Frostman's theorem; the reciprocity identity itself and the infimum estimate are choice-free.

Facts & Assumptions

Given: a compact set K⊆C with cap⁡(K)>0, its equilibrium measure μK, a compactly supported Borel probability measure σ on C, the logarithmic kernel k(z,w)=log⁡1∣z−w∣ with diagonal value +∞, the potential Uν(z)=∫k(z,w) dν(w) and the mixed energy I(ν,ρ)=∬k dν dρ of Logarithmic potential and energy of a positive compactly supported measure, and the Axiom of Choice (The Axiom of Choice).

[F1]

For a finite positive Borel measure ν of compact support, Uν(z)∈(−∞,+∞], and for R>diam⁡supp⁡ν one has kR=k+log⁡R≥0 on the product of the support with itself and I(ν)=∬kR dν dν−ν(C)2log⁡R, independently of R; for a pair ν,ρ of such measures and R>diam⁡(supp⁡ν∪supp⁡ρ) the same shifted kernel is nonnegative on the product of the two supports and I(ν,ρ)=∬kR dν dρ−ν(C)ρ(C)log⁡R, independently of R (Logarithmic potential and energy of a positive compactly supported measure).

[F2]

VK=inf⁡ν∈P(K)I(ν) and cap⁡(K)=e−VK when VK<+∞ and 0 otherwise, so cap⁡(K)>0 is equivalent to VK<+∞, and then VK=log⁡1cap⁡(K)∈R (Robin constant and logarithmic capacity of a compact set).

[F3]

Assume the Axiom of Choice: a compact nonempty K with cap⁡(K)>0 has exactly one equilibrium measure μK, and I(μK)=VK; the measure μK is a Borel probability measure carried by K, so its support is a nonempty compact subset of K (Existence and uniqueness of the equilibrium measure, Probability measures and probability spaces).

[F4]

Assume the Axiom of Choice: with μK as above, UμK(z)≤VK for every z∈C (Frostman inequalities and quasi-everywhere equilibrium equality).

[F5]

Tonelli's theorem computes the integral of a nonnegative product-measurable function on a σ-finite product as either iterated integral (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product); the support supp⁡ν of a finite positive Borel measure ν is closed, carries ν, and every closed set carrying ν contains it (Support of a finite Borel measure on the plane).

Proof

technique · direct
1.1F2F3F5givenalgebra

By [F2] and [F3] the hypothesis cap⁡(K)>0 gives VK∈R, the equilibrium measure μ:=μK, and supp⁡μ⊆K; since K and supp⁡σ are compact and nonempty, D:=diam⁡(K∪supp⁡σ)<+∞, and as cap⁡(K)>0 the set K is not a singleton, so D>0; fix R>D.

1.2F4givenalgebra

Frostman bound. By [F4] one has Uμ≤VK pointwise on C, and σ is a probability, so ∫Uμ dσ≤∫VK dσ=VK.

2.1step 1.1F1F5

On supp⁡μ×supp⁡σ one has ∣z−w∣≤D<R, so the shifted kernel kR=k+log⁡R is a nonnegative Borel function there; Tonelli [F5] applied to the product measure μ⊗σ therefore gives ∬kR dμ dσ=∬kR dσ dμ, both sides being elements of [0,+∞].

2.2step 1.1F1F3F5givenalgebra

The infimum bound. For z∈K and w∈supp⁡σ, one has k(z,w)≥log⁡1D, including z=w, where the kernel has value +∞. Integrating this pointwise bound against the probability σ, carried by its support, gives Uσ(z)≥log⁡1D>−∞ on K. Thus m:=inf⁡z∈KUσ(z)∈[log⁡1D,+∞] and m≤∫KUσ dμ: for finite m, integrate Uσ≥m against the probability μ carried by K; for m=+∞, the potential is +∞ everywhere on K and its integral is +∞=m.

3.1step 1.1step 2.1F1givenalgebra

For each z one has ∫CkR(z,w) dσ(w)=∫Ck(z,w) dσ(w)+σ(C)log⁡R=Uσ(z)+log⁡R as extended reals, since kR=k+log⁡R pointwise and σ(C)=1; integrating against the probability μ gives ∬kR dσ dμ=∫Uσ dμ+log⁡R, and symmetrically ∬kR dμ dσ=∫Uμ dσ+log⁡R, the identities being understood in (−∞,+∞] with +∞+log⁡R=+∞.

4.1step 2.1step 3.1algebra

Reciprocity. Comparing the two expressions for the common value in step 2.1 gives ∫Uσ dμ+log⁡R=∫Uμ dσ+log⁡R; subtracting the finite real number log⁡R yields the reciprocity identity ∫CUσ dμ=∫CUμ dσ∈(−∞,+∞].

5.1step 4.1step 2.2step 1.2F2F3F4given∎

Combining steps 4.1, 2.2 and 1.2, inf⁡z∈KUσ(z)≤∫Uσ dμ=∫Uμ dσ≤VK, and VK=log⁡1cap⁡(K) by [F2]; this is the assertion. The Axiom of Choice was used only through [F3] and [F4].

Remarks

What reciprocity does and does not require. The identity ∫Uσ dμ=∫Uμ dσ is a Fubini statement for the kernel on the product of the two supports; no finiteness of I(σ) is assumed, and the value +∞ is allowed on both sides. The shifted kernel kR=k+log⁡R is nonnegative on that product, which is what makes Tonelli applicable without any integrability hypothesis.

Sharpness of the inequality. The inequality inf⁡KUσ≤VK is the classical reciprocity inequality of Saff, Proposition 1.13; equality holds for σ=μK whenever UμK=VK at every point of K. Quasi-everywhere equality alone (Frostman inequalities and quasi-everywhere equilibrium equality) does not suffice for the infimum over all of K: exceptional polar points may have smaller potential.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-6.1-sol)audited 2026-10-02Open item page →

Chebyshev constant of a compact planar set

Definition

All polynomials below are complex formal polynomials with the evaluation and monic conventions of Formal complex polynomials, evaluation, degree, leading coefficient, and monic polynomials, and C is identified with R2.

Let K⊆C be nonempty and compact. For a polynomial p put

∥p∥K:=sup⁡z∈K∣p(z)∣∈[0,∞).

The supremum is finite and is a maximum: z↦p(z) is entire (Complex polynomials are entire with the power-rule derivative, and rational functions are holomorphic wherever their denominator is nonzero), hence continuous, and ∣⋅∣ satisfies the modulus laws of Conjugation is an involutive real-field automorphism, zz‾=∣z∣2, and modulus is definite, multiplicative, and subadditive; a continuous real-valued function on the nonempty compact space K is bounded and attains its bounds (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value). No choice principle is used: the only selection is that of an extremal point of a continuous function on a compact set, which the cited extreme-value theorem supplies.

For every integer n≥1 define

tn(K):=inf⁡{∥p∥K: p is a monic complex polynomial of degree n}.

This infimum is a real number: the set is nonempty because p(Z)=Zn is monic of degree n, it consists of nonnegative numbers by the modulus laws, and every nonempty subset of R bounded below has a greatest lower bound, the infimum (Every nonempty set bounded below has an infimum, Greatest lower bound (infimum)). Thus 0≤tn(K)<∞ for every n≥1.

The Chebyshev constant of K is

cheb⁡(K):=inf⁡n≥1tn(K)1/n,

where tn(K)1/n is the unique nonnegative n-th root of tn(K) (Existence and uniqueness of n-th roots: a unique a1/n≥0 with (a1/n)n=a). This infimum exists by the same argument: the index set {n∈N:n≥1} is nonempty, each tn(K)1/n≥0, so the set is nonempty and bounded below by 0 (Every nonempty set bounded below has an infimum). For the empty set one uses the separate convention

cheb⁡(∅):=0.

Remarks

No extremal polynomial is claimed. The quantity tn(K) is an infimum over polynomials of a fixed degree and is not defined as the norm of a polynomial that attains it. Existence of a best monic polynomial is not asserted, and the definition does not choose one.

Dependence on K only through the sup norms. Every ingredient of the definition is a function of the compact set K; for K={a} one has ∥p∥K=∣p(a)∣ and tn({a})=0 for all n≥1 because (Z−a)n is a monic degree-n polynomial vanishing at a, so cheb⁡({a})=0.

The root limit is proved later. That the infimum defining cheb⁡(K) is also the limit of the sequence tn(K)1/n is the content of The Chebyshev constant is the root limit of monic extremal norms and is not assumed here.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6.1-sol)audited 2026-10-02Open item page →

The Chebyshev constant is the root limit of monic extremal norms

Statement

Let K⊆C be nonempty and compact, with tn(K) and cheb⁡(K) as in Chebyshev constant of a compact planar set. Then

tm+n(K)≤tm(K) tn(K)(m,n≥1),

and consequently the sequence of nonnegative n-th roots converges with

lim⁡n→∞tn(K)1/n=inf⁡n≥1tn(K)1/n=cheb⁡(K).

No choice principle is used.

Facts & Assumptions

Given: a nonempty compact K⊆C, the quantities tn(K) and cheb⁡(K) of Chebyshev constant of a compact planar set, and the standing convention that all polynomials are monic of the stated degree when said so.

[F1]

By definition tn(K)=inf⁡{∥p∥K:p monic of degree n}, with ∥p∥K=sup⁡z∈K∣p(z)∣ and 0≤tn(K)<∞; and cheb⁡(K)=inf⁡n≥1tn(K)1/n (Chebyshev constant of a compact planar set).

[F2]

Over the integral domain C, a product of nonzero polynomials has deg⁡(fg)=deg⁡f+deg⁡g and leading coefficient the product of the leading coefficients; hence a product of monic polynomials is monic of the summed degree (Over an integral domain, degrees add under multiplication of nonzero polynomials).

[F3]

∣zw∣=∣z∣∣w∣ for all z,w∈C, and ∣z∣≥0 (Conjugation is an involutive real-field automorphism, zz‾=∣z∣2, and modulus is definite, multiplicative, and subadditive).

[F4]

If S⊆R is nonempty and bounded below and ℓ is a lower bound of S, then ℓ=inf⁡S exactly when for every ε>0 there is s∈S with s<ℓ+ε (Epsilon characterisation of the infimum).

[F5]

For a≥0 and n≥1 the nonnegative n-th root a1/n is the unique s≥0 with sn=a; for x,y≥0 one has (xy)1/n=x1/ny1/n, and for 0≤x≤y one has x1/n≤y1/n (Existence and uniqueness of n-th roots: a unique a1/n≥0 with (a1/n)n=a).

[F6]

On [0,∞) the map x↦xn is strictly increasing for n≥1 (Monotonicity of x↦xn and of n↦an).

[F7]

A nonempty finite set of real numbers has a maximum and a minimum (Every nonempty finite set of reals has a maximum and a minimum, Maximum and minimum of a set).

[F8]
[F9]

If xk≤yk eventually, then lim sup⁡kxk≤lim sup⁡kyk and lim inf⁡kxk≤lim inf⁡kyk in R‾ (If xk≤yk eventually then lim sup⁡xk≤lim sup⁡yk and lim inf⁡xk≤lim inf⁡yk).

[F10]

For c>0, c1/n→1 as n→∞ (For every a>0, a1/n→1).

Proof

technique · direct
1.1F1F2F3F4algebra

Fix m,n≥1 and ε>0. Since tm(K) and tn(K) are finite lower bounds of their respective nonempty sets by [F1], [F4] supplies a monic polynomial p of degree m with ∥p∥K<tm(K)+ε and a monic polynomial q of degree n with ∥q∥K<tn(K)+ε. By [F2] the product pq is monic of degree m+n, and by [F3] one has ∣p(z)q(z)∣=∣p(z)∣ ∣q(z)∣≤∥p∥K∥q∥K for every z∈K, so ∥pq∥K≤∥p∥K∥q∥K<(tm(K)+ε)(tn(K)+ε). As tm+n(K) is a lower bound for the norms of all monic degree-(m+n) polynomials ([F1]), tm+n(K)<(tm(K)+ε)(tn(K)+ε) for every ε>0; letting ε↓0 gives tm+n(K)≤tm(K)tn(K).

2.1step 1.1F1F4F5

Set un:=tn(K) for n≥1 and L:=cheb⁡(K). Then un≥0 and um+n≤umun by step 1.1, and L=inf⁡n≥1un1/n by [F1]; in particular L≥0 and L≤un1/n for every n. If uk=0 for some k≥1, then iterating the submultiplicative inequality of step 1.1 in the form un≤uk un−k for n>k gives un=0 for every n≥k, so un1/n=0 for all n≥k by [F5], the root sequence converges to 0, and L=inf⁡n≥1un1/n=0 because L≥0 and 0=uk1/k belongs to the set; in this first case lim⁡ntn(K)1/n=L=cheb⁡(K).

2.2step 1.1F5F6F7algebra

Suppose now that un>0 for every n≥1, and fix k≥1. Put a:=uk1/k>0, B:=max⁡{1,a−k}≥1 and C:=max⁡{1,u1,…,uk−1}>0; both maxima exist by [F7] (for k=1 the set whose maximum defines C is {1}). Write an arbitrary n≥k as n=qk+r with integers q≥1 and 0≤r<k. Iterating uj+ℓ≤ujuℓ of step 1.1 gives un≤ukqu~r, where u~r:=1 for r=0 and u~r:=ur for 1≤r<k; hence un≤ukqC=akqC because u~r≤C. Since r<k one has a−r≤B: for a≥1 this is a−r≤1≤B, and for 0<a<1 the inequality −r≥−(k−1) gives a−r≤a−(k−1)≤a−k≤B. Therefore akqC≤akqarBC=anBC, since 1≤arB is the same inequality, and consequently un1/n≤a (BC)1/n for every n≥k by [F5] and [F6].

3.1step 2.1step 2.2F1F4F8F9F10

In the situation of step 2.2, apply [F9] to the eventual inequality just obtained and use that n↦a(BC)1/n converges to a by [F10] and [F8]; hence lim sup⁡nun1/n≤a=uk1/k. Since k≥1 was arbitrary and L=inf⁡kuk1/k ([F1]), given ε>0 the characterization [F4] of the infimum supplies k with uk1/k<L+ε, so lim sup⁡nun1/n≤L+ε for every ε>0, that is, lim sup⁡nun1/n≤L. On the other hand L is a lower bound of the root sequence by step 2.1, so lim inf⁡nun1/n≥L (Limit superior and limit inferior of a real sequence as inf⁡nsup⁡k≥nxk and sup⁡ninf⁡k≥nxk in R‾); hence lim inf⁡nun1/n=lim sup⁡nun1/n=L, which by [F8] is convergence of (un1/n) to L. In this second case therefore lim⁡ntn(K)1/n=cheb⁡(K) as well.

4.1step 1.1step 2.1step 3.1F1∎

The two cases of steps 2.1 and 3.1 are exhaustive (either some uk=0 or un>0 for all n), and in both the root sequence converges to L=cheb⁡(K); combining with the submultiplicativity proved in step 1.1 gives tm+n(K)≤tm(K)tn(K) for all m,n≥1 and lim⁡n→∞tn(K)1/n=inf⁡n≥1tn(K)1/n=cheb⁡(K).

LemmaStatement: Literature-sourcedProof: AI-adaptedaudited 2026-10-02Open item page →

Monic polynomial lower bounds for the Chebyshev constant and capacity

Statement

Assume the Axiom of Choice. Let K⊆C be nonempty and compact. Then for every monic complex polynomial p of degree n≥1,

∥p∥K ≥ cheb⁡(K)nand∥p∥K ≥ cap⁡(K)n,

and consequently cap⁡(K)≤cheb⁡(K).

The first lower bound and the argument at capacity zero are choice-free; the Axiom of Choice is used only through the reciprocity inequality (Reciprocity inequality for logarithmic potentials), hence through the equilibrium theory of Robin constant and logarithmic capacity of a compact set.

Facts & Assumptions

[F1]

For nonempty compact K, ∥p∥K=sup⁡z∈K∣p(z)∣∈[0,∞) is finite and attained, and for every integer n≥1 the number tn(K)=inf⁡{∥q∥K:q monic of degree n} is a real number with 0≤tn(K)<∞; the Chebyshev constant is cheb⁡(K)=inf⁡n≥1tn(K)1/n∈[0,∞) with nonnegative n-th roots, and cheb⁡(∅)=0 (Chebyshev constant of a compact planar set, Existence and uniqueness of n-th roots: a unique a1/n≥0 with (a1/n)n=a).

[F2]

A monic polynomial of degree n has leading coefficient 1; if p is monic of degree n then p belongs to the class whose infimum defines tn(K) (Formal complex polynomials, evaluation, degree, leading coefficient, and monic polynomials, Chebyshev constant of a compact planar set).

[F3]

A polynomial f of degree n≥1 factors as f(x)=c∏j=1r(x−αj)mj with distinct roots αj, positive multiplicities mj summing to n, and c its leading coefficient; equivalently f has exactly n roots counted with multiplicity (A complex polynomial of degree n has exactly n roots counted with multiplicity).

[F4]

For points α1,…,αn∈C the Dirac measures δαj are Borel probability measures (A Dirac set function is a probability measure, The Dirac set function at a point), finite nonnegative weighted sums of measures are measures (Nonnegative scalar multiples and countable weighted sums of measures are measures), and ν=1n∑j=1nδαj is thus a Borel probability measure carried by the finite set {α1,…,αn}, which is compact (Probability measures and probability spaces).

[F5]

For a finite positive Borel measure ν of compact support, Uν(z)=∫Ck(z,w) dν(w) with k(z,w)=log⁡1∣z−w∣ and diagonal value +∞ (Logarithmic potential and energy of a positive compactly supported measure).

[F6]

For nonempty compact F, VF=inf⁡μ∈P(F)I(μ)∈(−∞,+∞] and cap⁡(F)=exp⁡(−VF) when VF<+∞, while cap⁡(F)=0 when VF=+∞; in particular cap⁡(K)>0 is equivalent to VK<+∞, and then cap⁡(K)=exp⁡(−VK) (Robin constant and logarithmic capacity of a compact set).

[F7]

Assume the Axiom of Choice. If K is compact with cap⁡(K)>0 and σ is any compactly supported Borel probability measure on C, then inf⁡z∈KUσ(z)≤VK=log⁡1cap⁡(K) (Reciprocity inequality for logarithmic potentials).

[F8]

The modulus is multiplicative: ∣∏jwj∣=∏j∣wj∣ for finitely many complex numbers, and ∣w∣=0 exactly when w=0 (Conjugation is an involutive real-field automorphism, zz‾=∣z∣2, and modulus is definite, multiplicative, and subadditive).

Proof

technique · direct
1.1F1F2given

By [F1] and [F2] the number tn(K) is a well-defined real number with tn(K)≤∥p∥K<+∞, since p is monic of degree n and all ∥q∥K are nonnegative; and cheb⁡(K)=inf⁡m≥1tm(K)1/m is a nonnegative real number, so cheb⁡(K)≤tn(K)1/n.

2.1step 1.1F1algebra

First lower bound. Since raising preserves the order on nonnegative reals, cheb⁡(K)≤tn(K)1/n from step 1.1 gives cheb⁡(K)n≤tn(K); and tn(K)≤∥p∥K because p belongs to the class whose infimum is tn(K); hence ∥p∥K≥cheb⁡(K)n, the first asserted inequality.

2.2step 1.1F1algebra

Second bound when cap⁡(K)=0. If cap⁡(K)=0 then cap⁡(K)n=0 while ∥p∥K≥0, so ∥p∥K≥cap⁡(K)n holds trivially.

2.3step 1.1F2F3F4F5F6F7F8algebra

Second bound when cap⁡(K)>0. By [F3], applied to p of degree n with leading coefficient 1 (step 1.1 and [F2]), there are distinct roots α1,…,αr with multiplicities m1,…,mr summing to n and p(z)=∏j=1r(z−αj)mj; listing the roots with multiplicity as α1,…,αn and putting ν:=1n∑j=1nδαj, [F4] makes ν a Borel probability measure whose finite support is compact. By [F5] and [F8], Uν(z)=1n∑j=1nlog⁡1∣z−αj∣=1nlog⁡1∣p(z)∣ for every z∈C, both sides being +∞ exactly at the roots of p. By [F7], whose Axiom of Choice hypothesis is part of the Given, inf⁡z∈KUν(z)≤VK<+∞; so for each real ε>0 there is zε∈K with Uν(zε)≤VK+ε, and then p(zε)≠0 and log⁡1∣p(zε)∣=nUν(zε)≤n(VK+ε), that is, ∣p(zε)∣≥e−n(VK+ε). Hence ∥p∥K≥e−n(VK+ε) for every ε>0, and letting ε↓0 gives ∥p∥K≥e−nVK=cap⁡(K)n by [F6] and algebra.

3.1step 2.2step 2.3F1algebra

Capacity is at most the Chebyshev constant. If cap⁡(K)=0 then cap⁡(K)=0≤cheb⁡(K) by the nonnegativity in [F1]. If cap⁡(K)>0, step 2.3 gives ∥q∥K≥cap⁡(K)n for every monic q of degree n, so the infimum satisfies tn(K)≥cap⁡(K)n>0 and, taking nonnegative n-th roots, tn(K)1/n≥cap⁡(K) for every n≥1; since cheb⁡(K) is the infimum of these numbers, cheb⁡(K)≥cap⁡(K). In either case cap⁡(K)≤cheb⁡(K), the final assertion.

4.1step 2.1step 2.2step 2.3step 3.1F7∎

Assembly. Step 2.1 gives the lower bound by cheb⁡(K)n and steps 2.2 and 2.3 together give the lower bound by cap⁡(K)n for every monic p of degree n≥1; step 3.1 gives cap⁡(K)≤cheb⁡(K). The Axiom of Choice is used only in [F7]; the factorisation, the Dirac measures, the weighted sum and all estimates are choice-free.

Remarks

What is used from the equilibrium theory. The second bound is the point where the logarithmic potential of the zero-counting measure of p meets the capacity: the reciprocity inequality (Reciprocity inequality for logarithmic potentials) says that the potential of any compactly supported probability measure, including one concentrated on the roots of p outside K, dips to at most VK somewhere on K. When cap⁡(K)=0 no equilibrium measure exists and the bound degenerates to the trivial ∥p∥K≥0.

Strictness is not asserted. The lemma only produces lower bounds; equality cap⁡(K)=cheb⁡(K) is the content of Fekete–Szegő equality of logarithmic capacity, transfinite diameter, and Chebyshev constant, which combines the converse inequality obtained from Fekete points with the present lemma. No uniqueness of an extremal monic polynomial is claimed here.

DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-10-02Open item page →

Distributional Riesz measure of a plane subharmonic function

Definition

Let Ω⊆C be a plane domain and let u:Ω→[−∞,∞) be subharmonic on Ω (Subharmonic functions on plane domains); in particular u is not identically −∞ on any component. Then u∈Lloc1(Ω) (Plane subharmonic functions are locally integrable), so for every compactly supported smooth test function φ∈Cc∞(Ω) the Lebesgue integral ∫Ωu Δφ dA converges absolutely: the support of Δφ is compact and Δφ is bounded, so ∫Ω∣u Δφ∣ dA≤∥Δφ∥∞∫supp⁡Δφ∣u∣ dA<∞. The distributional Riesz functional of u is

μu(φ):=12π∫Ωu Δφ dA(φ∈Cc∞(Ω)),

where Δ=∂x2+∂y2 is the Laplacian, dA is area Lebesgue measure, and Cc∞(Ω) is the test space of Distribution with the distributional derivative conventions of Distributional derivative. The value is complex in general and is real for real-valued test functions. The functional μu depends only on the almost-everywhere representative of u: if u=v a.e. then u Δφ=v Δφ a.e. for every test function, so the integrals agree. Linearity in φ is inherited from the linearity of differentiation and integration.

The normalization factor (2π)−1 is chosen so that, under Countable Choice (The Axiom of Countable Choice (ACω)), a logarithmic point potential has unit mass at its pole: Δlog⁡∣z−a∣=2πδa in the distributional sense, that is, μlog⁡∣⋅−a∣=δa (The negative Laplacian of the fundamental solution is the unit Dirac distribution).

Remarks

What is and is not asserted here. The assignment φ↦μu(φ) is defined as a functional on test functions. That it is continuous for the test-function topology, that it is positive on nonnegative test functions, and that it is consequently integration against a unique positive Radon measure are not part of this definition; they are proved under Dependent Choice in The distributional Riesz functional of a subharmonic function is a positive Radon measure ↗, which is the well-definedness statement for the name "Riesz measure".

Sign and coefficient conventions. With the present sign convention a subharmonic function has a positive Riesz measure: for the model u(z)=log⁡∣z−a∣ under Countable Choice one has μu=δa by the normalization above, and for a compactly supported logarithmic potential pμ=∫log⁡∣z−w∣ dμ(w) one has μpμ=μ (Distributional Laplacian of a compact logarithmic potential).

Choice. Defining the functional uses no choice principle: the integral is a Lebesgue integral of an element of Lloc1 against a fixed smooth test function. The logarithmic point-mass comparison above invokes the published fundamental-solution theorem under its stated Countable Choice hypothesis. The positive Radon measure interpretation invokes Dependent Choice for the representation and uniqueness in the well-definedness theorem.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-10-02Open item page →

The distributional Riesz functional of a subharmonic function is a positive Radon measure

Statement

Assume Dependent Choice. Let Ω⊆C be a complex domain and let u:Ω→[−∞,∞) be subharmonic on Ω, with the distributional Riesz functional μu(φ)=12π∫Ωu Δφ dA of Distributional Riesz measure of a plane subharmonic function. Then:

  1. μu(φ)≥0 for every real-valued φ∈Cc∞(Ω) with φ≥0;
  2. there is exactly one positive Radon measure ν on Ω with μu(φ)=∫Ωφ dν(φ∈Cc∞(Ω)).

Dependent Choice is used for the Riesz–Markov–Kakutani representation of the extended functional and for its uniqueness; the mollification, distributional-compatibility, density and dominated-convergence steps use only Countable Choice, which Dependent Choice implies, and the remaining steps are choice-free.

Facts & Assumptions

Given: Dependent Choice, a complex domain Ω⊆C, a subharmonic u:Ω→[−∞,∞), and the conventions of Distributional Riesz measure of a plane subharmonic function; write ACω for Countable Choice.

[F1]

μu(φ)=12π∫Ωu Δφ dA for every φ∈Cc∞(Ω), the value is real for real φ, the assignment is linear on test functions, it depends only on the almost-everywhere class of u, and the normalization (2π)−1 gives μlog⁡∣⋅−a∣=δa (Distributional Riesz measure of a plane subharmonic function).

[F2]
[F3]

u is upper semicontinuous, hence Borel measurable; u is not identically −∞ on any connected component of Ω; and u satisfies the submean inequality u(a)≤12π∫02πu(a+reit) dt at every closed disc D‾(a,r)⊆Ω; the integral is the extended circle integral of a Borel function that is bounded above on the circle (Subharmonic functions on plane domains, A complex domain is a nonempty connected open subset of C, Upper semicontinuous functions are Borel and their circle averages are defined).

[F4]

For g∈Lloc1(Ω) the regular distribution Tg(ψ)=∫Ωgψ dA is a distribution on Ω, and with the sign conventions of the distributional Laplacian in the plane one has ⟨ΔTg,ψ⟩=⟨Tg,Δψ⟩, where Δ=∂x∂x+∂y∂y (Locally integrable functions as regular distributions, Distributional derivative, Distributional harmonicity and Poisson's equation on an open subset of Rn).

[F6]

The standard smooth step b satisfies 0≤b≤1, equals 1 on the closed unit ball of R2 and vanishes outside the radius-two ball (Explicit compactly supported smooth cutoffs). Normalizing ρ:=b/∫b and rescaling gives kernels ρε(x)=ε−2ρ(x/ε) with ρε∈Cc∞(R2), ρε≥0, ∫ρε=1 and supp⁡ρε⊆B‾(0,2ε), and under ACω the family (ρε) is an L1 approximate identity (The mollifier family generated by a unit-mass smooth bump, A unit-mass smooth bump generates an L1 approximate identity).

[F7]

Assume ACω. If f∈Lloc1(R2) and φ is a unit-mass smooth bump, the convolution (f∗φε)(x)=∫f(y)φε(x−y) dy is smooth and every derivative passes under the integral sign (Convolution with a mollifier is smooth, and derivatives pass under the integral sign).

[F8]

Assume ACω. Let T∈D′(Ω) and let fε(x)=T(ρε(x−⋅)) be the local convolution on Vε={x:x−supp⁡ρε⊆Ω}. Then the regular distributions of fε converge weakly to T: for every ψ∈Cc∞(Ω) one has ∫fεψ→T(ψ) as ε→0+ (Mollifier approximation in distributions).

[F9]

Distributional differentiation is continuous linear on D′(Ω) for the weak topology, in ZF; and, under ACω, for g∈Ck on an open set and ∣α∣≤k one has ∂αTg=T∂αg (Distributional differentiation is continuous and commutes).

[F10]

A real C2 function on an open subset of C is subharmonic there if and only if its Laplacian is pointwise nonnegative (A C^2 function is subharmonic exactly when its Laplacian is nonnegative).

[F11]

Tonelli's theorem applies to nonnegative product-measurable integrands and Fubini's theorem to integrable integrands on σ-finite products (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, Fubini's theorem for L^1 functions on a sigma-finite product).

[F12]

In ZF, for compact K⊆Ω with Ω open there is χ∈Cc∞(Ω) with 0≤χ≤1 and χ=1 on a neighbourhood of K (Test function cutoffs and euclidean localization).

[F13]

Assume ACω. If f is bounded and continuous on R2, then f∗ρε→f uniformly on every compact subset (L1 approximate identities converge uniformly on compacta for bounded continuous functions).

[F14]

A convergent sequence of reals whose terms are eventually nonnegative has a nonnegative limit (Limits preserve non-strict inequalities).

[F15]

A compact subset L⊆Ω has a positive margin: there is η>0 with L+B‾(0,η)⊆Ω. If Ω≠R2, the complement is nonempty closed and disjoint from L, and the positive gap lemma (A compact set and a disjoint closed set have a positive norm-distance gap) gives δ>0 with ∣z−c∣≥δ for all z∈L and c∉Ω, so that B(z,δ)⊆Ω and η:=δ/2 works; if Ω=R2 any η works.

[F16]

A real-linear Λ:Cc(X;R)→R is positive when f≥0 pointwise implies Λ(f)≥0; for f≤g one has Λ(f)≤Λ(g) (Positive linear functionals on Cc(X), A positive linear functional on Cc(X) is monotone).

[F17]

Nonempty subsets of R that are bounded above have a supremum and nonempty subsets bounded below have an infimum, with inf⁡S=−sup⁡(−S) (Every nonempty set bounded below has an infimum).

[F18]

Assume DC. For a positive linear functional Λ:Cc(X;R)→R on an LCH space X, the RMK construction produces a Radon measure ν on the Borel sets of X that is inner regular on open sets and finite on compact sets (The RMK functional outer content is well defined, Compact-set formula and local finiteness of the RMK measure, The RMK representing measure is inner regular on open sets, Radon measure on an LCH space), and this measure represents Λ: Λ(f)=∫Xf dν for every f∈Cc(X;R) (Positive functionals on C_c(X) are integration against a Radon measure).

[F19]

Assume DC. Two Radon measures on an LCH space whose integrals agree on every continuous compactly supported function are equal (Assuming Dependent Choice, uniqueness of the RMK representing measure among Radon measures).

[F20]

Dominated convergence for a general measure: if fn→f pointwise almost everywhere and ∣fn∣≤g almost everywhere for a single nonnegative measurable g with ∫g dν<+∞, then ∫fn dν→∫f dν (Dominated convergence).

Proof

technique · direct
1.1F1F2F4given

Since u∈Lloc1(Ω) by [F2], it has a regular distribution Tu on Ω, and [F1] together with [F4] gives μu(φ)=12π∫Ωu Δφ dA=12π⟨ΔTu,φ⟩ for every φ∈Cc∞(Ω).

1.2F5given

By [F5], DC yields ACω, which discharges the choice hypotheses of [F7], [F8], [F9] (second clause) and [F13] used below.

1.3F21given

The open set Ω, with the subspace topology of R2≅C, is an LCH space by [F21]: R2 is locally compact and Hausdorff, open subspaces of locally compact Hausdorff spaces are locally compact, and Hausdorffness is hereditary.

2.1F6step 1.2choose

Choose ρ:=b/∫b from the standard step b of [F6] and put ρε(x)=ε−2ρ(x/ε): then ρε∈Cc∞(R2) is nonnegative, has ∫ρε=1 and support in B‾(0,2ε), and under ACω of step 1.2 the family (ρε) is an L1 approximate identity.

2.2F2F7step 1.2

For z in the open set Ωε:={z∈Ω:B‾(z,3ε)⊆Ω} define uε(z):=∫R2u(z−y)ρε(y) dy; this set equals Ω when Ω=C. It is open: for any of its points, [F15] gives a positive margin for the compact ball B‾(z,3ε) inside Ω, and every sufficiently small translate of that ball stays inside Ω. In general the integrand lives on the compact set z−B‾(0,2ε)⊆B(z,3ε)⊆Ω. For each such z, choose a relatively compact open W⊆Ω containing z−B‾(0,2ε) and all its sufficiently small translates. Replacing u by its product with 1W, extended by zero outside Ω (locally integrable on R2 by [F2]), [F7] and step 1.2 show that uε∈C∞(Ωε) with every derivative given by the convolution of u against the corresponding derivative of ρε; the values are finite real numbers, since u∈L1 near z−B‾(0,2ε).

3.1F2F3F11step 2.2algebra

The mollified function satisfies the submean inequality on Ωε: if a∈Ωε and D‾(a,r)⊆Ωε, then D‾(a,r+2ε)⊆Ω — for ∣w−a∣≤r one has w∈Ωε, and for r<∣w−a∣≤r+2ε the point v:=a+r(w−a)/∣w−a∣ lies in D‾(a,r)⊆Ωε, so B(v,3ε)⊆Ω while ∣w−v∣=∣w−a∣−r≤2ε<3ε gives w∈B(v,3ε)⊆Ω — hence D‾(a−y,r)⊆D‾(a,r+2ε)⊆Ω for every ∣y∣≤2ε; applying the submean inequality of [F3] at the centre a−y, multiplying by ρε(y)≥0 and integrating over ∣y∣≤2ε with Tonelli and Fubini [F11] applied to the positive and negative parts (the absolute double integral is at most 2π∥ρε∥∞∫D‾(a,r+2ε)∣u∣ dA<∞ by [F2]) gives uε(a)≤12π∫02πuε(a+reit) dt.

3.2F8step 1.2step 2.1step 2.2

As ε→0+ the regular distributions of uε converge weakly to Tu on Ω: the local convolution of [F8] with T:=Tu is exactly x↦Tu(ρε(x−⋅))=∫Ωu(y)ρε(x−y) dy=uε(x) on Vε={x:x−supp⁡ρε⊆Ω}, and Vε⊇Ωε because x−B‾(0,2ε)⊆B(x,3ε)⊆Ω for x∈Ωε; hence ⟨Tuε,ψ⟩→⟨Tu,ψ⟩ for every ψ∈Cc∞(Ω).

3.3F9step 1.2step 2.2

Classical compatibility: for every ε>0 and every φ∈Cc∞(Ωε) one has ⟨ΔTuε,φ⟩=∫Ωφ Δuε dA. Indeed uε∈C∞(Ωε) by step 2.2, so the ACω clause of [F9] applied on the open set Ωε to ∂x∂xuε and ∂y∂yuε and added gives ΔTuε=TΔuε there, and only values on Ωε are tested.

4.1F3step 2.2step 3.1

By step 2.2 the function uε is continuous and real-valued on Ωε, and by step 3.1 it satisfies the submean inequality at every closed disc in Ωε; hence uε is subharmonic on each connected component of Ωε in the sense of [F3].

4.2F4F15step 3.2

For any fixed φ∈Cc∞(Ω), the compact support of φ and of Δφ lies inside Ωε for all sufficiently small ε by [F15]. On those open domains, the definition of distributional derivatives gives ⟨ΔTuε,φ⟩=∫uεΔφ dA. Step 3.2 applied to the fixed test Δφ shows that this tends to ⟨Tu,Δφ⟩=⟨ΔTu,φ⟩. These pairings are local for each ε; no distribution on all of Ω is asserted for a locally defined uε.

5.1F10step 4.1

By [F10] applied on the components of the open set Ωε, step 4.1 gives Δuε≥0 pointwise on Ωε.

6.1F14F15step 1.1step 5.1step 4.2step 3.3

Positivity on nonnegative tests: let φ∈Cc∞(Ω) be real with φ≥0. Since supp⁡φ⊆Ω is compact in the open set Ω, the positive-margin fact [F15] gives η>0 with supp⁡φ+B‾(0,η)⊆Ω; then any ε0>0 with 3ε0<η satisfies supp⁡φ⊆Ωε0, because B‾(x,3ε0)⊆B(x,η)⊆supp⁡φ+B‾(0,η)⊆Ω for x∈supp⁡φ. Fix such an ε0, so that supp⁡φ⊆Ωε and φ≥0 for every 0<ε≤ε0. Steps 1.1, 4.2 and 3.3 give μu(φ)=lim⁡n→∞12π⟨ΔTuε0/(n+1),φ⟩=lim⁡n→∞12π∫Ωφ Δuε0/(n+1) dA, and each integrand is nonnegative by step 5.1; [F14] therefore gives μu(φ)≥0.

7.1F1step 6.1algebra

Monotonicity on smooth tests: if φ≤ψ are real-valued compactly supported smooth functions on Ω, then ψ−φ≥0 is a test function with μu(ψ)−μu(φ)=μu(ψ−φ)≥0 by step 6.1 and the linearity of [F1]; hence μu(φ)≤μu(ψ).

8.1F12F17step 7.1construct

For f∈Cc(Ω;R) set Sf:={μu(φ):φ∈Cc∞(Ω;R), φ≤f} and Tf:={μu(ψ):ψ∈Cc∞(Ω;R), ψ≥f}. If f≠0, put M:=∥f∥∞ and use [F12] to choose χ∈Cc∞(Ω) with 0≤χ≤1 and χ=1 on a neighbourhood of supp⁡f; then −Mχ≤f≤Mχ pointwise, so Sf and Tf are nonempty; if f=0, then 0∈Sf∩Tf. By step 7.1 every element of Sf is at most every element of Tf, so Sf is bounded above and Tf bounded below; [F17] makes sup⁡Sf and inf⁡Tf well-defined real numbers with sup⁡Sf≤inf⁡Tf.

9.1F7F12F13F15step 2.1step 8.1choose

Density of smooth tests for a fixed f≠0: let K:=supp⁡f, M:=∥f∥∞, choose χ as in step 8.1, and use [F15] to fix η>0 with L:=supp⁡χ+B‾(0,η)⊆Ω; use [F12] again to choose χ1∈Cc∞(Ω) with 0≤χ1≤1 and χ1=1 on the compact set L. For all large n put fn:=(fχ)∗ρ1/n: each fn is smooth by [F7], supported in supp⁡χ+B‾(0,2/n)⊆L⊆Ω, and fn→fχ=f uniformly on the compact L by [F13], and hence on R2 since both functions vanish outside L, because fχ is continuous with compact support and fχ=f on supp⁡f.

10.1F2step 7.1step 8.1step 9.1algebra

Sandwich for the sets of step 8.1: keep f≠0 and χ,χ1,L of steps 8.1 and 9.1, and let δn:=∥fn−f∥∞→0. Since ∣fn−f∣≤δn everywhere and ∣fn−f∣=0 outside L, one has fn−δnχ1≤f≤fn+δnχ1 pointwise, and both bounds are smooth test functions of the kinds defining Sf and Tf; applying μu and using step 7.1 gives μu(fn)−δnμu(χ1)≤sup⁡Sf≤inf⁡Tf≤μu(fn)+δnμu(χ1). Hence (μu(fn)) is Cauchy, and with Λ(f):=sup⁡Sf=inf⁡Tf one has ∣Λ(f)−μu(fn)∣≤δnμu(χ1)→0 for every admissible sequence (fn) of smooth functions converging uniformly to f with supports in a fixed compact subset of Ω. For f=0 set Λ(0):=0, consistently with step 8.1.

11.1step 10.1step 8.1given

Positivity of Λ: if f≥0 in Cc(Ω;R), then the zero test function satisfies 0≤f, so 0=μu(0)∈Sf and Λ(f)=sup⁡Sf≥0. If f=0 this is step 10.1.

11.2F17step 10.1algebra

Homogeneity of Λ: for c>0 one has Scf=cSf, so Λ(cf)=cΛ(f); for c<0 one has Scf=cTf, so by [F17] Λ(cf)=sup⁡(cTf)=cinf⁡Tf=cΛ(f); and Λ(0)=0. Thus Λ is positively homogeneous and Λ(−f)=−Λ(f).

11.3step 7.1step 10.1

Extension: if φ∈Cc∞(Ω;R) then φ∈Sφ and φ∈Tφ, so step 7.1 gives μu(φ)≤Λ(φ)≤μu(φ); hence Λ(φ)=μu(φ) for every smooth test function.

12.1F1step 10.1step 11.2algebra

Additivity of Λ: given f,g∈Cc(Ω;R) and η>0, choose by the definition of the supremum φ∈Sf, ψ∈Sg with μu(φ)>Λ(f)−η/2 and μu(ψ)>Λ(g)−η/2; then φ+ψ≤f+g, so Λ(f+g)≥μu(φ)+μu(ψ)>Λ(f)+Λ(g)−η, and η↓0 gives Λ(f+g)≥Λ(f)+Λ(g). Dually, choose ψf∈Tf, ψg∈Tg with μu(ψf)<Λ(f)+η/2 and μu(ψg)<Λ(g)+η/2; then ψf+ψg≥f+g, so Λ(f+g)≤Λ(f)+Λ(g)+η and hence Λ(f+g)≤Λ(f)+Λ(g). Therefore Λ is additive; it is real-linear together with the homogeneity of step 11.2.

13.1F16F18step 11.1step 12.1step 1.3

By steps 11.1, 12.1 and 1.3 the map Λ:Cc(Ω;R)→R is a positive real-linear functional on the LCH space Ω in the sense of [F16]; the RMK construction of [F18] therefore produces a Radon measure ν on Ω with Λ(w)=∫Ωw dν for every w∈Cc(Ω;R).

14.1step 11.3step 13.1given

Representing smooth tests: combining steps 11.3 and 13.1, for every φ∈Cc∞(Ω;R) one has μu(φ)=Λ(φ)=∫Ωφ dν; since μu is complex-linear, the same identity holds for complex test functions, so ν represents μu.

14.2F20F19step 10.1step 13.1

Uniqueness: let ν′ be a Radon measure on Ω with μu(φ)=∫Ωφ dν′ for every φ∈Cc∞(Ω;R). For f∈Cc(Ω;R) and an admissible sequence (fn) as in step 10.1 with common support in a compact L′⊆Ω, one has ∫Ωfn dν′=μu(fn)→Λ(f) by step 10.1, while ∫Ωfn dν′→∫Ωf dν′ by [F20], since fn→f pointwise and ∣fn∣≤∥f∥∞+1 on the compact set L′ of finite ν′-measure. Hence ∫Ωf dν′=Λ(f)=∫Ωf dν for every f∈Cc(Ω;R), and [F19] gives ν′=ν.

15.1step 6.1step 14.1step 14.2∎

Conclusion: clause 1 is step 6.1, and clause 2 is the existence of ν in steps 13.1 and 14.1 together with the uniqueness in step 14.2.

Remarks

Dependent Choice is used at exactly two places. The RMK construction of [F18] selects cutoffs between compact and open sets and constructs the outer content along a dependent recursion, and the uniqueness theorem [F19] uses the same cutoff principle; both are stated under DC. Everything else in the proof is carried out under ACω (mollification, uniform density, classical-distributional compatibility) or in ZF (the sandwich and extension construction, which defines Λ by suprema and infima of fixed sets and therefore selects nothing).

Why the extension is needed at all. The positivity of μu on smooth nonnegative tests is proved directly by mollification, but the Riesz–Markov–Kakutani theorem consumes a functional on the whole of Cc(Ω;R). The functional Λ is the unique continuous extension of μu from the dense subspace of smooth tests to Cc; the argument above avoids selecting approximating sequences by defining Λ as the common value of sup⁡Sf and inf⁡Tf.

Compatibility with the point-mass normalization. With u=log⁡∣⋅−a∣ on Ω=C the theorem returns ν=δa, in agreement with the normalization recorded in Distributional Riesz measure of a plane subharmonic function.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-10-02Open item page →

Distributional Laplacian of a compact logarithmic potential

Statement

Assume the Axiom of Countable Choice. Let μ be a finite positive Borel measure on C with compact support S=supp⁡μ, and let pμ(z)=∫Clog⁡∣z−w∣ dμ(w)∈[−∞,∞) and Uμ=−pμ be as in Logarithmic potential and energy of a positive compactly supported measure. Then pμ is locally integrable on C, subharmonic on the domain C, harmonic on C∖S, and

Δpμ=2πμ,equivalentlyΔUμ=−2πμ,

in the distributional sense, that is, 12π∫Cpμ Δφ dA=∫Cφ dμ for every φ∈Cc∞(C); in the normalization of Distributional Riesz measure of a plane subharmonic function this reads μpμ=μ.

The zero measure is included and is settled separately: then S=∅ and p0=0 by the zero clause of Logarithmic potential and energy of a positive compactly supported measure, the constant 0 is smooth, subharmonic and harmonic on C=C∖S, Δ0=0=2π⋅0 distributionally and μp0=0. The proof below therefore assumes S≠∅; for a nonzero finite positive Borel measure this holds because S=supp⁡μ carries μ, so a measure with empty support is zero (Support of a finite Borel measure on the plane).

The Axiom of Countable Choice is used through the published fundamental-solution theorem [F6] and through the countable constructions in [F4]; the pointwise, Fubini and Fatou steps are choice-free.

Facts & Assumptions

Given: a finite positive Borel measure μ with compact support S≠∅ (the zero measure is excluded by the Statement), the potentials pμ=−Uμ of Logarithmic potential and energy of a positive compactly supported measure, and ACω (The Axiom of Countable Choice (ACω)).

[F1]

pμ(z)=∫log⁡∣z−w∣ dμ(w) is the extended integral of the Borel function log⁡∣z−⋅∣ against the finite measure μ, and pμ(z)∈[−∞,∞) (Logarithmic potential and energy of a positive compactly supported measure).

[F2]

For every w∈C the function z↦log⁡∣z−w∣ is subharmonic on the whole plane: apply the zero-order factorization theorem to the holomorphic function z↦z−w, which is not identically zero (The logarithm of the modulus of a holomorphic function is subharmonic).

[F3]

z↦log⁡∣z−a∣ is smooth and harmonic on C∖{a} (Logarithmic modulus is harmonic off its centre).

[F4]

Every subharmonic function on a plane domain is locally integrable (Plane subharmonic functions are locally integrable).

[F5]

Subharmonic on a plane domain means upper semicontinuous, not identically −∞ on any connected component, and satisfying the circle mean inequality at every closed disc contained in the domain (Subharmonic functions on plane domains).

[F6]

Assume ACω: the kernel Φ(x)=−(2π)−1log⁡∣x∣ is locally integrable on R2 and its regular distribution satisfies −ΔTΦ=δ0; for every y the translate satisfies −ΔxTΦ(⋅−y)=δy (The negative Laplacian of the fundamental solution is the unit Dirac distribution).

[F7]

Tonelli's theorem for nonnegative product-measurable integrands (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).

[F8]

Fubini's theorem for product-integrable integrands (Fubini's theorem for L^1 functions on a sigma-finite product).

[F9]

Fatou's lemma: for nonnegative measurable fn, ∫lim inf⁡nfn≤lim inf⁡n∫fn (Fatou's lemma).

[F10]

Differentiation under the integral sign for a parameter integral with an integrable dominating function (Differentiation under the integral sign).

[F11]

The support supp⁡μ of a finite positive Borel measure on C carries μ and is the smallest closed carrier; in particular μ≠0 if and only if supp⁡μ≠∅, and if μ is carried by a compact K then supp⁡μ⊆K is compact (Support of a finite Borel measure on the plane).

Proof

technique · direct
1.1F1F7F11givenalgebra

By [F11] the support S≠∅ is compact. Fix R>0 and put S0:=max⁡w∈S∣w∣<∞. For z∈B(0,R) one has log⁡∣z−w∣≤log⁡(R+S0), so pμ+(z)≤Mlog⁡+(R+S0)<∞, where M=μ(C). Also pμ−(z)≤∫log⁡+(1/∣z−w∣) dμ(w). Tonelli and the radial computation ∫∣u∣<1log⁡(1/∣u∣) dA(u)=2π∫01rlog⁡(1/r) dr=π/2 give ∫B(0,R)pμ−(z) dA(z)≤M∫∣u∣<1log⁡(1/∣u∣) dA(u)=πM/2<∞. Thus pμ−<∞ outside an area-null subset of B(0,R) and pμ∈(−∞,∞) almost everywhere; in particular pμ is not identically −∞ on the connected domain C.

1.2F1F9algebra

Let zn→z and choose C with log⁡∣zn−w∣≤C for all w∈S and all n; the functions hn(w):=C−log⁡∣zn−w∣ are nonnegative and measurable, so [F9] gives lim inf⁡n∫hn dμ≥∫lim inf⁡nhn dμ, that is, lim sup⁡npμ(zn)≤∫lim sup⁡nlog⁡∣zn−w∣ dμ(w)=pμ(z), because log⁡∣zn−w∣→log⁡∣z−w∣ for w≠z and →−∞ for w=z. Hence pμ is upper semicontinuous.

1.3F2F5given

For every w∈C the function z↦log⁡∣z−w∣ is subharmonic by [F2] applied to the holomorphic function z↦z−w; by [F5] it therefore satisfies the circle mean inequality log⁡∣a−w∣≤12π∫02πlog⁡∣a+reit−w∣ dt for all a∈C and r>0.

2.1step 1.3F1F7algebra

Fix a∈C, r>0 and put G(t,w):=log⁡∣a+reit−w∣; since G+≤log⁡(∣a∣+r+S0+1) on S, the extended integral ∫02π∫SG dμ dt and its reversed iterated integral both equal ∫G+−∫G− by two applications of [F7], the difference being well defined because ∫∫G+<∞. Integrating the inequality of step 1.3 over μ and using this identity gives pμ(a)≤12π∫02π∫SG dμ dt=12π∫02πpμ(a+reit) dt.

3.1step 1.1step 1.2step 2.1F4F5

By step 1.2 pμ is upper semicontinuous, by step 1.1 it is not identically −∞ on C, and by step 2.1 it satisfies the circle mean inequality at every closed disc in C; each disc lies in some B(0,R) and the inequality of step 2.1 is exactly the one required by [F5], so pμ is subharmonic on C, and [F4] makes it locally integrable.

4.1step 3.1F3F10algebra

Let z0∉S and δ:=12d(z0,S)>0. On B(z0,δ) every w∈S satisfies ∣z−w∣≥δ, so every partial derivative of order 1 or 2 in z of (z,w)↦log⁡∣z−w∣ is bounded on B(z0,δ)×S by a constant depending only on δ; since μ is finite, [F10] applied to x and y derivatives lets the Laplacian pass inside the integral, and [F3] gives Δpμ(z)=∫Δzlog⁡∣z−w∣ dμ(w)=0 for z∈B(z0,δ). The resulting first and second derivatives are continuous by Dominated convergence, since the kernel derivatives are continuous away from the uniformly separated support and obey the same integrable constant bounds. Hence pμ is harmonic on the open set C∖S.

5.1step 3.1F6F8given∎

Let φ∈Cc∞(C). If φ=0 the identity is immediate; otherwise take a nonempty compact set L containing supp⁡φ and choose A>max⁡{∣z−w∣:z∈L, w∈S}. Then ∫L∣log⁡∣z−w∣∣ dA(z)≤∫∣u∣<A∣log⁡∣u∣∣ dA(u)<∞ uniformly for w∈S. Since Δφ is bounded on L, the integrand log⁡∣z−w∣Δφ(z) is product-integrable on L×S, and [F8] gives ∫pμΔφ dA=∫(∫log⁡∣z−w∣Δφ(z) dA(z))dμ(w). The inner integral is the distributional pairing ⟨Δxlog⁡∣x−w∣,φ⟩, which by [F6] equals 2πφ(w); hence 12π∫pμΔφ dA=∫φ dμ for every test function, that is, μpμ=μ in the normalization of Distributional Riesz measure of a plane subharmonic function, equivalently Δpμ=2πμ and ΔUμ=−Δpμ=−2πμ.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-10-02Open item page →

Local Riesz decomposition of a plane subharmonic function

Statement

Assume Dependent Choice. Let Ω⊆C be a complex domain, let u be subharmonic on Ω in the sense of Subharmonic functions on plane domains, and let D⊆Ω be open with D‾ compact and D‾⊆Ω. Let μu=(2π)−1Δu be the Riesz measure of Distributional Riesz measure of a plane subharmonic function and let M be the restriction μu∣D of Restriction of a measure to a measurable set, extended by zero to C: explicitly, M(A):=μu(A∩D) for A∈B(C). Then M is a finite positive Borel measure carried by D, and there is a function h harmonic on D with

u(z)=h(z)+∫Clog⁡∣z−w∣ dM(w)for every z∈D,

the integral ∫log⁡∣z−w∣ dM(w) being an element of [−∞,+∞) whose value −∞ is allowed. Moreover the pair is unique: if M′ is a finite positive Borel measure carried by D and h′ is harmonic on D with u(z)=h′(z)+∫Clog⁡∣z−w∣ dM′(w) for every z∈D, then M′=M and h′=h.

Dependent Choice is used by the positive Radon representation and uniqueness supplier [F4]. It also supplies Countable Choice for the potential, regularity, Weyl, distribution-embedding and polar-coordinate suppliers [F5]–[F7], [F10] and [F13], and for the selection of radii in step 8.1. The potential and averaging estimates themselves are choice-free.

Facts & Assumptions

Given: a complex domain Ω, a subharmonic u:Ω→[−∞,∞) on Ω, the Riesz functional μu of Distributional Riesz measure of a plane subharmonic function, an open D with D‾ compact and D‾⊆Ω, and Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain).

[F1]

A function v:Ω→[−∞,∞) on a complex domain is subharmonic when it is upper semicontinuous, is not identically −∞ on any component, and satisfies the circle mean inequality v(a)≤(2π)−1∫02πv(a+reit) dt for every closed disc D(a,r)‾⊆Ω (Subharmonic functions on plane domains).

[F2]

The Riesz functional is μu(φ)=(2π)−1∫Ωu Δφ dA for φ∈Cc∞(Ω), real when φ is real-valued and complex in general; equivalently ΔTu=2πμu, where Tu is the regular distribution of u (Distributional Riesz measure of a plane subharmonic function).

[F3]

Dependent Choice implies Countable Choice (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain, Dependent choice implies countable choice), which discharges the choice hypotheses of [F5], [F6], [F7], [F10] and [F13].

[F4]

Under Dependent Choice, μu is a positive Radon measure on Ω (The distributional Riesz functional of a subharmonic function is a positive Radon measure).

[F5]

Assume Countable Choice and let ρ be a finite positive Borel measure of compact support on C. Then pρ(z)=∫log⁡∣z−w∣ dρ(w), with the diagonal value −∞, is locally integrable and subharmonic on C, and Δpρ=2πρ distributionally, that is, (2π)−1∫pρΔφ dA=∫φ dρ for every φ∈Cc∞(C) (Distributional Laplacian of a compact logarithmic potential).

[F6]

Under Countable Choice the map f↦Tf from Lloc1 modulo almost-everywhere equality into distributions is injective (Locally integrable functions embed in distributions, Locally integrable functions as regular distributions); and for g∈C2 on an open set one has ΔTg=TΔg, while differentiation is linear on distributions (Distributional differentiation is continuous and commutes).

[F7]

Assume Countable Choice: if T∈D′(D) with ΔT=0, there is a unique smooth harmonic h on D with T=Th (Weyl's lemma for the Laplacian).

[F8]

A finite nonnegative linear combination of subharmonic functions on a domain is subharmonic, in particular the sum of two of them; a C2 function with Δg≥0 is subharmonic, and a harmonic function is C2 with Δh=0, hence subharmonic (Positive linear combinations and finite maxima preserve subharmonicity, A C^2 function is subharmonic exactly when its Laplacian is nonnegative, Plane harmonic functions).

[F9]

Every subharmonic function on a plane domain is locally integrable (Plane subharmonic functions are locally integrable).

[F10]

The polar-coordinate formula (under Countable Choice) and Tonelli's theorem give, for a Borel function f≥0 and a disc B(a,R), ∫B(a,R)f dA=∫0Rr∫02πf(a+reit) dt dr (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).

[F11]

A Radon measure on an LCH space is finite on compact sets (Radon measure on an LCH space), and restriction to a Borel set defines a measure on the ambient sigma-algebra (Restriction of a measure to a measurable set). Its zero extension here is M(A)=μu(A∩D) for A∈B(C); A∩D is Borel in Ω, disjoint countable unions stay disjoint under intersection with D, and hence countable additivity passes to M. Thus M is a Borel measure on C carried by D.

[F12]

Every connected component of an open subset of Rn is open and polygonally connected (Every connected component of an open subset of Rn is open and polygonally connected); in particular every component of the open set D is a complex domain and satisfies D0‾⊆D‾⊆Ω.

[F13]

Assume Countable Choice: every Borel measure on a second-countable LCH space that is finite on compact sets is regular, that is, Radon in the sense of Radon measure on an LCH space (Locally finite Borel measures on second-countable LCH spaces are regular).

Proof

technique · direct
1.1F4F11given

Since D‾ is compact and contained in Ω, [F4] and [F11] give μu(D‾)<+∞; hence the restriction M=μu∣D is a finite positive Borel measure carried by D‾⊆Ω, and in particular carried by D.

1.2F1F12

Let D0 be a connected component of D, let v be subharmonic on the complex domain D0, and let a∈D0. Then v(a)≤Ar(v)(a) for every r with D(a,r)‾⊆D0 by [F1]. For every real N>v(a), upper semicontinuity gives v≤N on D(a,δ)‾⊆D0 for some δ>0, hence Ar(v)(a)≤N for 0<r≤δ. Thus lim⁡r↓0Ar(v)(a)=v(a), including v(a)=−∞, when every real N works.

1.3F3given

By [F3] Dependent Choice yields Countable Choice, so the choice hypotheses of the suppliers [F5], [F6], [F7], [F10] and [F13] are discharged for the whole argument.

2.1step 1.1F5

Put p:=pM=∫log⁡∣z−w∣ dM(w) with the diagonal value −∞; by [F5] (with ρ=M) the function p is locally integrable and subharmonic on C and satisfies Δp=2πM distributionally, that is, (2π)−1∫pΔφ dA=∫φ dM for every φ∈Cc∞(C).

2.2step 1.1F2F4F5F6given

For uniqueness of the measure let M′ be a finite positive Borel measure carried by D and h′ harmonic on D with u=h′+pM′ pointwise on D, and set p′:=pM′, locally integrable and subharmonic with Δp′=2πM′ by [F5]. For every φ∈Cc∞(D), [F2], [F5], [F6] and the representation clause of [F4] give 2π∫φ dM′=∫p′Δφ dA=⟨ΔTp′,φ⟩=⟨ΔTh′+p′,φ⟩=⟨ΔTu,φ⟩=2πμu(φ)=2π∫φ dM, so M and M′ define the same functional Φ(φ):=∫φ dM on Cc∞(D).

3.1step 2.1F2F6F9

Let Tu and Tp be the regular distributions of the locally integrable functions u and p. For every φ∈Cc∞(D) one has ⟨ΔTu,φ⟩=Tu(Δφ)=∫ΩuΔφ dA=2πμu(φ)=2π∫Ωφ dμu=2π∫Ωφ dM=∫ΩpΔφ dA=⟨ΔTp,φ⟩, where the third equality is [F2], the fifth uses that φ is supported in D and M=μu∣D, and the sixth is step 2.1 and [F6]; hence Δ(Tu−Tp)=0 in D′(D).

3.2step 1.3step 2.2F4F5F12F13

Now let D0 be a connected component of the open set D; by [F12] it is open, hence a complex domain, contained in Ω with D0‾⊆D‾⊆Ω compact, and q:=p′∣D0 is subharmonic on D0 with Riesz functional φ↦(2π)−1∫D0q Δφ dA=∫φ dM′ for every φ∈Cc∞(D0) by [F5]. Both M′∣D0 and M∣D0 are finite Borel measures on the second-countable LCH space D0, hence Radon by [F13] under the Countable Choice of step 1.3, and M∣D0 represents the same functional because ∫φ d(M∣D0)=Φ(φ)=(2π)−1∫D0q Δφ dA for every φ∈Cc∞(D0) by step 2.2; the uniqueness clause of [F4] applied on the domain D0 therefore gives M′∣D0=M∣D0. Since D is second countable and its components are pairwise disjoint nonempty open sets, each containing a member of a countable base, there are at most countably many components; they partition D, so countable additivity gives M′=M on every Borel subset of D, and both measures are carried by D, hence M′=M on B(C).

4.1step 3.1F7

By [F7] applied to the distribution T:=(Tu−Tp)∣D∈D′(D) of step 3.1, there is a unique smooth harmonic h on D with T=Th, that is, ⟨Tu−Tp,φ⟩=∫Dhφ dA for every φ∈Cc∞(D).

5.1step 2.1step 4.1F6F9

The function u−p is locally integrable on D by [F9] and step 2.1, and h is locally integrable; step 4.1 says that their regular distributions agree. By the injectivity of [F6], u−p=h almost everywhere on D.

6.1step 2.1step 5.1F1F8F9F12

On each connected component D0 of D, the function g:=h+p is subharmonic: h∣D0 is harmonic and hence subharmonic by [F8], and p∣D0 inherits upper semicontinuity and the circle inequality from step 2.1 and cannot be identically −∞ because it is locally integrable. The sum is subharmonic by [F8]. Likewise u∣D0 is subharmonic by [F1] and its local integrability [F9]. Step 5.1 gives u=g almost everywhere on D.

7.1step 6.1F9F10

For fixed a∈D choose R>0 with D(a,R)‾⊆D. By step 2.1 and [F9], u,g∈Lloc1(D). Replace their values −∞ by 0 to obtain finite Borel representatives u~,g~; they agree with u,g almost everywhere and satisfy u~=g~ almost everywhere by step 6.1. Thus q:=∣u~−g~∣ is a nonnegative Borel function with q=0 almost everywhere. Applying [F10] to q+∣u~∣+∣g~∣ on B(a,R) shows that for almost every r∈(0,R) the restrictions of u~,g~ to the circle are integrable and agree almost everywhere in angle. Since the representatives differ from the subharmonic functions only on planar null sets, [F10] also makes those exceptional sets arclength-null for almost every r. Hence Ar(u)(a)=Ar(g)(a) for almost every r∈(0,R), where Ar(v)(a):=(2π)−1∫02πv(a+reit) dt.

8.1step 7.1step 1.2F3

Let S⊆(0,R) be the full-measure set of radii from step 7.1 for which the circle means agree. Each S∩(0,min⁡(R/2,1/(n+1))) is nonempty, so Countable Choice [F3] gives rn∈S∩(0,min⁡(R/2,1/(n+1))) for every n; then rn→0. By step 1.2, applied to the subharmonic functions u and g at a, u(a)=lim⁡nArn(u)(a)=lim⁡nArn(g)(a)=g(a). Since a∈D was arbitrary, u=h+p everywhere on D, which is the asserted decomposition.

9.1step 2.1step 8.1step 3.2F6F9∎

With M′=M from step 3.2 we have h′+p=h+p everywhere on D by the decomposition of step 8.1, and p is finite almost everywhere because p∈Lloc1(D) by step 2.1; hence h′=h almost everywhere on D. The difference h′−h is harmonic, hence continuous, on the open set D, and an almost-everywhere-vanishing continuous function on D vanishes everywhere, since a set of full measure in a nonempty open set is dense; therefore h′=h, and the decomposition is unique in both entries.

Remarks

The integral is finite or −∞, never +∞. On the compact carrier of M the integrand log⁡∣z−w∣ is bounded above, so the integral converges in the extended sense with value in [−∞,+∞); the value −∞ occurs exactly when the negative part of the kernel is not M-integrable at z, and at such a point the decomposition forces u(z)=−∞.

The kernel normalization is what makes h unique. The measure in the decomposition is the restriction of the normalized Riesz measure μu=(2π)−1Δu of Distributional Riesz measure of a plane subharmonic function; the factor 2π is the same one that makes Δlog⁡∣z−a∣=2πδa, so the potential ∫log⁡∣z−w∣ dM(w) has distributional Laplacian exactly 2πM.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-10-02Open item page →

Compact capacity-zero sets and subharmonic minus-infinity loci

Statement

Assume Dependent Choice, hence Countable Choice (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain, The Axiom of Countable Choice (ACω), AC implies DC implies countable choice).

Compact case. Let E⊆C be compact. Then cap⁡(E)=0 for the logarithmic capacity of Robin constant and logarithmic capacity of a compact set if and only if there are a complex domain Ω with E⊆Ω and a function u subharmonic on Ω with

E ⊆ { z∈Ω:u(z)=−∞ }.

Since subharmonicity already excludes u≡−∞ on a component (Subharmonic functions on plane domains), the witness is automatically not identically −∞; in the forward direction the witness can even be taken subharmonic on all of C.

Compact Evans measure. If in addition E≠∅ and cap⁡(E)=0, the witness can be taken of the potential form u=pσ=−Uσ with σ a finite positive Borel measure carried by E; then Uσ(z)=+∞, equivalently pσ(z)=−∞, at every z∈E.

Specified Fσ unions. Let (Ej)j≥1 be a specified sequence of compact subsets of C and E=⋃j≥1Ej. If cap⁡(Ej)=0 for every j, then there is a function u subharmonic on C with u(z)=−∞ for every z∈E which is not identically −∞. Conversely, if u is subharmonic on a complex domain Ω with E⊆Ω and u(z)=−∞ for every z∈E, then cap⁡(Ej)=0 for every j. Here E need not be bounded, and the sequence (Ej) is part of the data: no equivalence is asserted for arbitrary sets, for non-Borel sets, or for unions not presented as a specified countable union of compact sets.

Moreover, if E≠∅ and cap⁡(Ej)=0 for every j, then the witness can likewise be taken of the potential form u=pσ=−Uσ with σ a finite positive Borel measure carried by E satisfying Uσ(z)=+∞ at every z∈E.

Facts & Assumptions

Given: Dependent Choice, compact sets as in the statement, and the conventions of Logarithmic potential and energy of a positive compactly supported measure and Robin constant and logarithmic capacity of a compact set.

[F1]

The logarithmic kernel is k(z,w)=log⁡(1/∣z−w∣)∈(−∞,+∞], equal to +∞ exactly on the diagonal; for a finite positive Borel measure μ with compact support, Uμ(z)=∫k(z,w) dμ(w)∈(−∞,+∞] and pμ=−Uμ=∫log⁡∣z−w∣ dμ(w)∈[−∞,+∞), and for R>diam⁡(supp⁡μ) the energy is I(μ)=∫∫kR dμ dμ−μ(C)2log⁡R with kR=k+log⁡R=log⁡R∣z−w∣, independent of R (Logarithmic potential and energy of a positive compactly supported measure).

[F2]

For nonempty compact E, VE=inf⁡ν∈P(E)I(ν)∈(−∞,+∞] and cap⁡(E)=exp⁡(−VE) when VE<+∞ and =0 when VE=+∞; also cap⁡(∅)=0. Hence for nonempty compact E: cap⁡(E)=0  ⟺  VE=+∞  ⟺  I(ν)=+∞ for every Borel probability ν on E, while cap⁡(E)>0 if and only if some ν∈P(E) has I(ν)<+∞ (Robin constant and logarithmic capacity of a compact set, Probability measures and probability spaces).

[F3]

Dependent Choice implies Countable Choice; Countable Choice selects one element from each member of any at-most-countable family of nonempty sets (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain, The Axiom of Countable Choice (ACω), AC implies DC implies countable choice).

[F4]

For Borel probability measures on a metric space S, νm⇒ν means ∫f dνm→∫f dν for every bounded continuous real f on S (Weak convergence of borel probability measures).

[F5]

Every bounded sequence of reals has a convergent subsequence (Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence).

[F6]

Q2 is countable and dense in R2≅C, and the rational open boxes form a countable basis for the topology (Qn is a countable dense subset of Rn, and rational open boxes form a countable basis).

[F7]

A unital subalgebra of C(K;R) separating points of a nonempty compact metric space K is dense for the supremum metric (Real Stone--Weierstrass theorem for compact metric spaces).

[F8]

Assume Dependent Choice; for LCH X every bounded positive functional L:C0(X;R)→R is integration against a unique finite regular Borel measure, with μ(X)=∥L∥ (Positive C_0(X) functionals have finite regular representing measures). On a compact space X=E every continuous real function vanishes at infinity, so C0(E;R)=C(E;R).

[F9]

Monotone convergence: for measurable 0≤f1≤f2≤⋯ with fm↑f pointwise, ∫fm dμ↑∫f dμ (Monotone convergence for the integral).

[F10]

Tonelli's theorem for nonnegative product-measurable integrands on σ-finite product spaces (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).

[F11]

Subharmonic on a complex domain means upper semicontinuous, not identically −∞ on any component, and satisfying the circle mean inequality at every closed disc in the domain (Subharmonic functions on plane domains); for every w the function z↦log⁡∣z−w∣ is subharmonic on C, being the log modulus of the holomorphic function z↦z−w, which is not identically zero (The logarithm of the modulus of a holomorphic function is subharmonic).

[F12]

Assume Countable Choice: the fundamental solution Φ(x)=−(2π)−1log⁡∣x∣ is locally integrable on R2, i.e. ∫B∣log⁡∣u∣∣ dA(u)<+∞ for every ball B (The negative Laplacian of the fundamental solution is the unit Dirac distribution).

[F13]

Assume Dependent Choice: for subharmonic u on a complex domain Ω, every open disc D with D‾⊆Ω compact admits a finite positive Borel measure M carried by D and a harmonic h on D with u(z)=h(z)+∫log⁡∣z−w∣ dM(w)=h(z)−UM(z) for every z∈D (Local Riesz decomposition of a plane subharmonic function).

[F14]

Let μ≠0 be a finite positive Borel measure carried by a compact set and let M∈R; if Uμ≤M on supp⁡μ, then Uμ≤M on C (Maximum principle for a compact logarithmic potential).

[F15]

Finite and countable nonnegative weighted sums of measures are measures (Nonnegative scalar multiples and countable weighted sums of measures are measures); restriction of a measure to a measurable set is a measure (Restriction of a measure to a measurable set).

[F16]

Assume Countable Choice: for finite positive Borel μ with compact support, pμ is locally integrable on C and subharmonic on the domain C (Distributional Laplacian of a compact logarithmic potential).

[F17]

Continuous real functions on a compact metric space are uniformly continuous (Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous).

[F18]

For an integrable parameter integrand with measurable derivatives dominated by a single integrable function, differentiation passes under the integral (Differentiation under the integral sign). Continuity of integrals of continuous parameter functions under a single integrable majorant follows from Dominated convergence.

[F19]

The function z↦log⁡∣z−w∣ is smooth and harmonic off w (Logarithmic modulus is harmonic off its centre). A harmonic function is subharmonic by the C2 characterization, and adding it to a subharmonic function preserves subharmonicity (A C^2 function is subharmonic exactly when its Laplacian is nonnegative, Positive linear combinations and finite maxima preserve subharmonicity).

Proof

technique · direct
1.1F3given

Dependent Choice is assumed in the statement, and by [F3] it yields Countable Choice, which is the selection principle used for the countable constructions below; Dependent Choice itself is used for the successive subsequences constructed later in this proof and through the Riesz suppliers [F8] and [F13].

1.2F2F11given

The case E=∅: cap⁡(∅)=0 by [F2], and the constant function u≡0 is subharmonic on the complex domain C by [F11] with empty −∞ locus, so every empty compact set is the −∞ locus condition holds vacuously; conversely the condition cap⁡(∅)=0 holds by convention. So the compact equivalence is true for E=∅, and below E is assumed nonempty.

1.3F1F2given

Now assume E≠∅ compact with cap⁡(E)=0. Choose ρ>0 with E⊆D(0,ρ), put X:=D(0,ρ) and R:=2ρ+1, so that R>diam⁡(X‾) and G(z,w):=log⁡R∣z−w∣∈(0,+∞] is nonnegative on X×X and +∞ exactly on the diagonal. For every ν∈P(E) one has, by [F1] applied with this R>diam⁡(E), ∫∫G dν dν=I(ν)+log⁡R, and I(ν)=+∞ by the characterization [F2] of cap⁡(E)=0; hence ∫∫G dν dν=+∞ for every Borel probability ν on E.

1.4F3F6given

Let E be nonempty compact and let (νm)m be a sequence of Borel probability measures on E. It will be shown that some subsequence converges weakly to a probability on E. By [F6] enumerate the rational boxes as B1,B2,…; applying Countable Choice of [F3] to the at-most-countable family Xn:=E∩Bn when this is nonempty and Xn:={x0} for a fixed x0∈E otherwise gives points xn∈Xn, and D:={xn:n≥1} is countable. It is dense in E: if U is open and U∩E≠∅, [F6] gives a rational box Bn with x∈Bn⊆U for some x∈U∩E, so xn∈E∩Bn⊆U∩E.

2.1step 1.3F2F4F7

With G and R as in step 1.3, for n≥1 put Gn:=min⁡(G,n) and In(ν):=∫∫Gn dν dν∈[0,n] for ν∈P(E). Each Gn is continuous and bounded on E×E, and In is weakly continuous: the unital algebra of finite sums ∑lfl(z)hl(w) separates points of the compact metric space E×E, so it is uniformly dense in C(E×E;R) by [F7]; for a product integrand the double integral factors into a product of single integrals, which converges along weakly convergent sequences by [F4]; uniform approximation handles the general integrand. Put en:=inf⁡ν∈P(E)In(ν).

2.2F7step 1.4

Let V be the Q-algebra generated inside C(E;R) by the constant function 1 and the functions d(⋅,x), x∈D; being generated by countably many elements, V is countable, so fix an enumeration V={g1,g2,… }. V is uniformly dense in C(E;R): its closure V‾ is a closed R-subalgebra containing the generators, those generators separate points of E (for x≠y choose a∈D with d(x,a)<d(x,y)/2, then d(y,a)≥d(x,y)−d(x,a)>d(x,a)), so V‾ contains the unital algebra generated by the generators, which is all of C(E;R) by [F7].

3.1F3F5step 2.2

Successive subsequences are chosen by Dependent Choice. A state is a pair (k,j) with k≥0 and j:N→N strictly increasing, and (k,j) is related to (k+1,j′) when j′=j∘i for a strictly increasing i:N→N and the real sequence m↦∫gk+1 dνj′(m) converges. The relation is entire: m↦∫gk+1 dνj(m) is bounded by ∥gk+1∥∞, so [F5] supplies a strictly increasing i making it converge. Starting from (0,id), Dependent Choice yields states (k,j(k))k≥0 with j(k+1) a subsequence of j(k), and the diagonal j∗(m):=j(m)(m) is strictly increasing; for every i the sequence m↦∫gi dνj∗(m) converges, since for m≥i it is a subsequence of the convergent sequence along j(i).

4.1step 3.1

For f∈C(E;R) and η>0 step 2.2 gives i with ∥f−gi∥∞<η, and then ∣∫f dνj∗(m)−∫f dνj∗(n)∣≤2η+∣∫gi dνj∗(m)−∫gi dνj∗(n)∣ shows that the f-integrals are Cauchy; define L(f):=lim⁡m∫f dνj∗(m). Limits of integrals against probability measures give that L is linear, positive, L(1)=1 and ∣L(f)∣≤∥f∥∞.

5.1F4F8step 4.1

The compact metric space E is LCH and C0(E;R)=C(E;R), so [F8], whose hypothesis is Dependent Choice, represents L as integration against a unique Borel probability measure μ on E; by [F4] this says νj∗(m)⇒μ. This proves the claim of step 1.4.

6.1step 5.1step 2.1F3

The infimum en is attained. By Countable Choice [F3] choose νn,j∈P(E) with In(νn,j)<en+1/j for all n,j≥1. Fix n; step 5.1 applied to the sequence (νn,j)j give a weakly convergent subsequence with limit μn∈P(E), and weak continuity of In from step 2.1 gives In(μn)=lim⁡jIn(νn,j′)=en. Hence the set of minimizers of In is nonempty for every n, and Countable Choice selects one minimizer μn for each n.

7.1step 1.3step 6.1F9

The sequence en is nondecreasing and en→+∞. Monotonicity is immediate from Gn≤Gn+1. If en≤L for all n, take minimizers μn from step 6.1 and apply step 5.1 to (μn) to obtain a weakly convergent subsequence μnj⇒μ. For fixed m, whenever nj≥m one has Im(μnj)≤Inj(μnj)=enj≤L, so weak continuity of Im gives Im(μ)≤L; monotone convergence [F9] for Gm↑G then gives ∫∫G dμ dμ=lim⁡mIm(μ)≤L<+∞, contradicting step 1.3.

7.2step 6.1

First variation at an exact minimizer. Let n≥1, let x∈E and let μn be a minimizer of In. For 0<t≤1 the measure νt:=(1−t)μn+tδx is a probability on E, and expanding the double integral gives In(νt)=(1−t)2In(μn)+2t(1−t)Gnμn(x)+t2Gn(x,x), where Gnμn(x):=∫Gn(x,w) dμn(w) and Gn(x,x)=n. Since In(νt)≥en=In(μn), dividing the inequality In(νt)−In(μn)≥0 by t and letting t↓0 gives 2(Gnμn(x)−en)≥0, that is Gnμn(x)≥en for every x∈E.

8.1step 7.2F15

For k≥1 let nk:=min⁡{n:en≥k3}, finite by step 7.1, and by Countable Choice choose minimizers μnk; the measure σ:=∑k≥1k−2μnk is a finite positive Borel measure on E with σ(E)=∑k≥1k−2<+∞ by [F15]. For z∈E the potential of σ against the shifted kernel satisfies Gσ(z)=∫G(z,w) dσ(w)=∑k≥1k−2Gμnk(z)≥∑k≥1k−2Gnkμnk(z)≥∑k≥1k−2enk≥∑k≥1k=+∞.

9.1step 1.1step 8.1F16

For z∈E, pσ(z)=∫log⁡∣z−w∣ dσ(w)=σ(E)log⁡R−Gσ(z)=−∞, because log⁡∣z−w∣=log⁡R−G(z,w) holds for z≠w and both sides are −∞ at z=w. The measure σ is finite with compact support E, so [F16], whose hypothesis Countable Choice is available by step 1.1, makes pσ locally integrable and subharmonic on the complex domain C; in particular pσ is not identically −∞. This proves the forward direction cap⁡(E)=0⇒ witness for nonempty compact E.

10.1step 9.1F1F2F9F10F13F14F17given

Conversely, let E≠∅ be compact, let Ω be a complex domain with E⊆Ω, and let u be subharmonic on Ω with u(z)=−∞ for every z∈E. Suppose cap⁡(E)>0. Then VE<+∞ by [F2], so there is μ∈P(E) with I(μ)<+∞. Fix R>1+diam⁡(E) and put G(z,w):=log⁡R∣z−w∣ and U~λ:=Uλ+λ(C)log⁡R=∫G(⋅,w) dλ(w) for finite λ. Then ∫U~μ dμ=I(μ)+log⁡R<+∞. For M>0 put GM:=min⁡(M,G) on E×E. This is continuous and bounded, and monotone convergence gives U~μ(z)=lim⁡M→∞∫GM(z,w) dμ(w) for z∈E. Each truncated integral is continuous on E, so U~μ is lower semicontinuous there. Hence for every real b the set Fb:={z∈E:U~μ(z)≤b} is closed in E, and for b>I(μ)+log⁡R it has positive measure: μ(E∖Fb)≤1b∫U~μ dμ<1=μ(E), since U~μ≥0 on E and U~μ>b on E∖Fb. Fix such a b and put λ:=μ∣Fb, the restriction of μ to the measurable set Fb (Restriction of a measure to a measurable set), a nonzero finite positive measure with supp⁡λ⊆Fb because Fb is closed. For z∈Fb, U~λ(z)=∫FbG(z,w) dμ(w)≤U~μ(z)≤b, since G≥0 on E×E. Cover E by finitely many open discs D1,…,Dm whose closures lie in Ω and whose radii are less than 1/2: such discs cover E because Ω is open and R>1, so compactness gives a finite subcover. Then diam⁡D‾i<1<R, and since λ(E)>0 some i satisfies λ(Di)>0. Put λi:=λ∣Di, a nonzero finite positive measure with supp⁡λi⊆Fb∩D‾i; for z∈Fb one has U~λi(z)≤U~λ(z)≤b because λi≤λ and G≥0. Thus Uλi≤b−λi(C)log⁡R on supp⁡λi, and the maximum principle [F14] (applied to the nonzero measure λi) gives Uλi≤b−λi(C)log⁡R on all of C, that is, U~λi≤b everywhere. On the disc Di the Riesz decomposition [F13] gives a finite positive measure Mi carried by Di and a harmonic hi on Di with u=hi−UMi there. Since u=−∞ on E∩Di and hi is finite there, UMi(z)=+∞ for every z∈E∩Di, hence on Fb∩Di, which has λi-measure λi(Di)>0; therefore ∫UMi dλi=+∞, and since U~Mi=UMi+Mi(C)log⁡R≥UMi also ∫U~Mi dλi=+∞. Tonelli [F10] computes the same product integral in the other order: ∫U~Mi dλi=∫∫G dMi dλi=∫∫G dλi dMi=∫U~λi dMi≤b Mi(C)<+∞, because U~λi≤b everywhere and Mi is finite. This contradiction gives cap⁡(E)=0, the converse implication.

10.2step 9.1F3

For the Fσ extension, let (Ej)j≥1 be a specified sequence of compact subsets of C with cap⁡(Ej)=0 for every j, and put E:=⋃j≥1Ej. For each j with Ej≠∅, step 9.1 apply to Ej and yield a finite positive measure σj carried by Ej with pσj(z)=−∞ for every z∈Ej; for Ej=∅ put σj:=0. Countable Choice selects the family (σj)j≥1.

11.1step 10.2F15

With mj:=σj(C) and rj:=max⁡w∈Ej∣w∣ for Ej≠∅, and mj=rj:=0 otherwise, set aj:=2−j/(1+mj(1+log⁡(1+rj)))>0 and σ:=∑j≥1ajσj. Then σ is a finite positive Borel measure with σ(C)≤∑j≥12−j=1 and ∫log⁡(1+∣w∣) dσ(w)≤∑j≥1ajmjlog⁡(1+rj)≤∑j≥12−j=1; in particular the logarithmic moment of σ is finite.

12.1step 10.2step 11.1F1

Put u(z):=pσ(z)=∫log⁡∣z−w∣ dσ(w). If z∈Ej0 for some j0 with Ej0≠∅, then ∫log⁡+∣z−w∣ dσ(w)≤log⁡(1+∣z∣)+∫log⁡(1+∣w∣) dσ(w)<+∞ because ∣z−w∣≤(1+∣z∣)(1+∣w∣), while the term aj0σj0 contributes aj0∫log⁡−∣z−w∣ dσj0(w)=+∞: indeed pσj0(z)=−∞ by step 10.2 and ∫log⁡+∣z−w∣ dσj0(w)<+∞ since σj0 is finite with compact support. Hence ∫log⁡−∣z−w∣ dσ(w)=+∞ and u(z)=∫log⁡+−∫log⁡−=−∞; that is, u=−∞ on E.

12.2step 11.1F10F12

Local integrability: there is for every compact Q⊆C a constant CQ<∞ with ∫Q∣log⁡∣z−w∣∣ dA(z)≤CQ(1+log⁡(1+∣w∣)) for every w∈C. Indeed, if ∣w∣≤2+2sup⁡z∈Q∣z∣ then z−w ranges over a fixed bounded region and the integral is bounded by ∫B(0,K)∣log⁡∣v∣∣ dA(v)<+∞ for a suitable ball B(0,K) by [F12]; if ∣w∣ is larger then ∣z−w∣≥∣w∣/2>1 on Q, so ∣log⁡∣z−w∣∣≤log⁡(2∣w∣)≤1+log⁡(1+∣w∣) and the bound follows with area⁡(Q). Tonelli [F10] with the nonnegative integrand ∣log⁡∣z−w∣∣ and the finite measure σ therefore gives ∫Q∫C∣log⁡∣z−w∣∣ dσ(w) dA(z)≤CQ(1+∫log⁡(1+∣w∣) dσ(w))<+∞, so u∈Lloc1(C); in particular u is finite Lebesgue-a.e. and is not identically −∞ on the domain C.

13.1step 11.1step 12.1step 12.2F11F16F18F19

Fix N≥1 and split σ=σN+σN on D(0,N), where σN is its restriction to {∣w∣≤2N+1} and σN its restriction to {∣w∣>2N+1}. The measure σN is finite with compact support, so pσN is subharmonic by [F16]. For z∈D(0,N) and w in the tail one has ∣z−w∣>N+1>1; the logarithmic moment from step 11.1 makes log⁡∣z−w∣ integrable against σN, and its first and second derivatives in z are bounded on this disc by constants because the distance is bounded below by N+1. The kernel and all its derivatives are Borel in w and smooth in z away from w. The bounds on derivatives of orders one and two are integrable constants because σN is finite. Applying [F18] along each coordinate interval inside the disc, first to the kernel and then to its first derivatives, permits differentiation under the integral twice; dominated convergence in [F18] makes those derivatives continuous. By [F19], and ΔpσN(z)=∫Δzlog⁡∣z−w∣ dσN(w)=0. Hence pσN is harmonic on D(0,N) and u=pσN+pσN is subharmonic there by [F19]. Each closed disc is contained in one of these discs, which exhaust C, so u is upper semicontinuous and satisfies the circle mean inequality locally on C; it is not identically −∞ by step 12.2. Thus u is subharmonic on C by [F11] and is −∞ on E by step 12.1.

14.1step 10.1step 13.1F2given

Conversely to the forward direction of steps 10.2–13.1, if u is subharmonic on a complex domain Ω with E⊆Ω and u=−∞ on E, then every Ej is a nonempty or empty compact subset of the domain Ω; for nonempty Ej, step 10.1 applied to Ej give cap⁡(Ej)=0, and empty pieces have capacity zero by [F2].

15.1step 1.2step 8.1step 9.1step 10.1step 11.1step 12.1step 13.1step 14.1∎

Assembling: step 1.2 and step 9.1 give the compact forward direction, with the witness σ of step 8.1 and Uσ=+∞ on E by step 9.1; step 10.1 gives the compact converse; steps 10.2–13.1 give the witness σ of step 11.1 for a specified Fσ union of compact capacity-zero sets, with Uσ=+∞ on E by steps 12.1 and 13.1; and step 14.1 gives the converse for such unions. The potential-form clauses of the statement are thus the witnesses actually constructed, so both assertions and their Evans-measure refinements are proved.

Remarks

What the lemma does and does not say. The equivalence is proved for compact sets and for sets presented in advance as a countable union of compact sets. It does not identify arbitrary non-Borel sets with capacity-polar sets, and it does not assert the local "at every point a local witness" form of subharmonic polarity of Capacity-polar sets, quasi-everywhere, and subharmonic polar sets; the witness in the forward direction is global and produced by the Evans construction above.

Where the axiom is spent. Dependent Choice enters through the successive subsequences of step 3.1, the positive-functional Riesz representation [F8], and the local Riesz decomposition [F13]. Countable Choice is used for the rational-box selection in step 1.4, the infimizing sequences and minimizer choices in steps 3.1 and 6.1, the family of compact witnesses in step 10.2, and through the kernel suppliers [F12] and [F16]. No form of the Axiom of Choice stronger than Dependent Choice is used, and the ordinary maximum principle [F14] and Tonelli [F10] are choice-free.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-10-02Open item page →

The principle of descent and the logarithmic domination principle

Statement

Assume Dependent Choice.

(a) Principle of descent. Let K⊆C be nonempty compact, and let μn,μ be finite positive Borel measures on K with μn⇒μ weakly. Then Uμ(z)≤lim inf⁡n→∞Uμn(z)(z∈C),I(μ)≤lim inf⁡n→∞I(μn).

(b) Logarithmic domination principle. Let μ,ν be finite positive Borel measures on C with compact support, with μ(C)>0,ν(C)≤μ(C),I(μ)<+∞, and let c∈R. If Uμ≤Uν+c holds μ-almost everywhere, then it holds everywhere on C.

In (b) the hypothesis and the conclusion are respectively equivalent to pμ≥pν−c μ-a.e.\ and everywhere, where pσ=−Uσ is the subharmonic normalisation of Logarithmic potential and energy of a positive compactly supported measure. The hypothesis μ(C)>0 cannot be dropped: for μ=ν=0 and c<0 the exceptional-set hypothesis is vacuous while U0=0≤U0+c=c is false.

Facts & Assumptions

[F1]

For a finite positive Borel measure σ with compact support, Uσ(z)=∫k(z,w) dσ(w) with k(z,w)=log⁡1∣z−w∣ and diagonal value +∞, pσ=−Uσ, and I(σ)=∫Uσ dσ∈(−∞,+∞] computed from the shifted nonnegative kernel kR=k+log⁡R with R>diam⁡supp⁡σ, the value being independent of the admissible R (Logarithmic potential and energy of a positive compactly supported measure). If I(σ)<+∞ and R>diam⁡supp⁡σ, then ∬kR dσ dσ=I(σ)+σ(C)2log⁡R<+∞.

[F2]

Let K be nonempty compact and let φn,φ be Borel probability measures on K with φn⇒φ; then Uφ(z)≤lim inf⁡nUφn(z) for every z∈C and I(φ)≤lim inf⁡nI(φn). No choice principle is required (Lower semicontinuity of logarithmic potential and energy).

[F3]

Positive finite linear combinations and finite pointwise maxima of subharmonic functions on a complex domain are subharmonic on that domain, so in particular sums of two subharmonic functions are subharmonic; subharmonic functions are upper semicontinuous, are not identically −∞ on any component, and satisfy the circle mean inequality (Positive linear combinations and finite maxima preserve subharmonicity, Subharmonic functions on plane domains).

[F4]

Assume Dependent Choice. For subharmonic u on a complex domain Ω the Riesz functional μu(φ)=12π∫Ωu Δφ dA is nonnegative on nonnegative test functions, and there is exactly one positive Radon measure on Ω, again written μu, with μu(φ)=∫Ωφ dμu for all φ∈Cc∞(Ω); it is called the Riesz measure of u (Distributional Riesz measure of a plane subharmonic function, The distributional Riesz functional of a subharmonic function is a positive Radon measure). For c∈R one has μu+c=μu, and for α>0 one has μαu=αμu, because Δ is linear.

[F5]

Dependent Choice implies Countable Choice, and in particular supplies the Countable Choice assumed by Weyl's lemma (AC implies DC implies countable choice).

[F6]

For every finite positive Borel measure σ of compact support the normalised potential pσ=−Uσ is subharmonic on C and pσ is real-valued off a polar set (Distributional Laplacian of a compact logarithmic potential).

[F7]

Guedj-Zeriahi, §1.1 identity (1), states the bounded plurisubharmonic contact identity in the sense of Borel measures; in dimension one its ddc normalization is a positive constant multiple of the Laplacian. This is a literature cross-check only. Neither that bounded identity nor its unbounded extension is assumed: the proof below establishes the bounded plane identity from Sobolev tests, then derives the needed unbounded full-mass identity by truncation on P1.

[F8]

A Radon measure on an LCH space is finite on compact sets, outer regular on all Borel sets and inner regular on open sets: for every Borel E and open U, μ(E)=inf⁡E⊆V openμ(V) and μ(U)=sup⁡K⊆U compactμ(K) (Radon measure on an LCH space).

[F9]

Every subharmonic function on a complex domain belongs to Lloc1 (Plane subharmonic functions are locally integrable).

[F10]

Tonelli's theorem for nonnegative product-measurable integrands on σ-finite product spaces (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product). The polar-coordinate formula used below is separately supplied by [F13].

[F11]

Assume Countable Choice. If T∈D′(Ω) and ΔT=0, there is a unique smooth harmonic h with T=Th (Weyl's lemma for the Laplacian).

[F12]

Let u≥0 be harmonic on a domain Ω⊆Rn, n≥2. Then either u≡0 or u(x)>0 for every x∈Ω (Nonnegative harmonic function with an interior zero vanishes).

[F13]

Assume Countable Choice: for the unit circle S1 with its surface measure σ and every Borel function f≥0 one has ∫R2f dA=∫0∞∫S1f(rω) r dσ(ω) dr, which with the parametrisation ω=eit reads ∫R2f dA=∫0∞r∫02πf(reit) dt dr (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).

[F14]

A real C2 function on an open subset of C is subharmonic if and only if its Laplacian is ≥0 throughout; since plane harmonic functions are by definition C2 with vanishing Laplacian, every harmonic function on a domain is subharmonic (A C^2 function is subharmonic exactly when its Laplacian is nonnegative, Plane harmonic functions).

[F15]

Distributional Laplacians commute with local mollification, and convolution by a smooth compactly supported mollifier is smooth with derivatives under the integral sign. Dependent Choice supplies the Countable Choice hypotheses of these interfaces (The distributional Laplacian commutes with local mollification, Convolution with a mollifier is smooth, and derivatives pass under the integral sign).

[F16]

Translation is continuous in L2(R2) and Minkowski's inequality holds for integrals, under Countable Choice (∥τhf−f∥p→0 in Lp(Rn) as h→0, for 1≤p<∞, Minkowski's inequality for integrals, including p=∞).

[F17]

Weak derivatives and W1,2 use the test-function conventions of Weak derivative of a locally integrable function and Integer-order Sobolev spaces and their norms. Also, Cc(R2) is dense in L2(R2); L2 with its real integral pairing is a Hilbert space, and every bounded linear functional on a Hilbert space has a representing vector. These interfaces require at most Countable Choice (Cc(Rn) is dense in Lp(Rn) for 1≤p<∞, L2 with the integral pairing is a Hilbert space, Riesz representation for Hilbert spaces).

[F18]

Jensen's inequality, dominated convergence and Fubini's theorem apply to the integrable functions used below; all require at most Countable Choice (Jensen's integral inequality for a probability measure, Dominated convergence, Fubini's theorem for L^1 functions on a sigma-finite product).

[F19]

Under Dependent Choice, positive Radon measures on an LCH space that agree on all continuous compactly supported tests are equal (Assuming Dependent Choice, uniqueness of the RMK representing measure among Radon measures).

Proof

technique · direct

Local Sobolev and strict-contact facts under DC

Write dA for area measure and μf=(2π)−1Δf for the Riesz measure. Use the radial unit-mass mollifier ρ(x)=Cexp⁡ ⁣(−11−∣x∣2)1{∣x∣<1},ρδ(x)=δ−2ρ(x/δ), with C chosen so that ∫ρ dA=1. The profile is smooth, radial, and nonincreasing. All mollifications below are taken on a safe interior of the relevant domain.

For a subharmonic f, let Arf(z)=1πr2∫B(z,r)f dA. Integrating its circle-mean inequality in the radius gives Arf(z)≥f(z) when f(z) is finite. If f(z)=−∞, upper semicontinuity bounds f above by any prescribed real number on a sufficiently small disk. For finite f(z), upper semicontinuity gives, for each η>0, an r0>0 such that Arf(z)≤f(z)+η for every 0<r<r0. Thus f(z)≤Arf(z)≤f(z)+η for all such r, and Arf(z)→f(z). The layer-cake formula for a radial decreasing density is (f∗ρδ)(z)=∫01πs2(−ρ′(s))Aδsf(z) ds,∫01πs2(−ρ′(s)) ds=1. If f(z) is finite, choose δ<r0; every average in this weighted mean lies between f(z) and f(z)+η, so the convolution does too. If f(z)=−∞, upper semicontinuity bounds f by any real N on a sufficiently small disk, so every average in the weighted mean is at most N. Consequently the actual upper-semicontinuous representative satisfies (f∗ρδ)(z)→f(z) pointwise, including at −∞ values. This pointwise fact will be used against Riesz measures, including at points where a finite-energy potential equals −∞.

If f is locally bounded above and below and subharmonic, then fδ=f∗ρδ has Δfδ=2πμf∗ρδ≥0 by [F15]. For a smooth cutoff 0≤η≤1 supported in a fixed compact set, choose C0 above fδ on a fixed neighborhood of its support and let B uniformly bound C0−fδ there. Integration by parts, with C0−fδ≥0, and Young's inequality give ∫η2∣∇fδ∣2 dA≤2B∫η2Δfδ dA+4B2∫∣∇η∣2 dA. The first term is bounded by the Riesz mass on a fixed compact neighborhood, and local boundedness makes B uniform. Hence ∇fδ is bounded in local L2. Pointwise convergence and local boundedness give fδ→f in local L2. For a smooth test ζ on a smaller disk, the weak derivative functional is bounded by ∣∫f ∂iζ dA∣=lim⁡δ↓0∣∫(∂ifδ)ζ dA∣≤C∥ζ∥2. To use [F17] on that disk, exhaust it by concentric closed subdisks, extend each truncated L2 function by zero, approximate by a compactly supported continuous function on R2, multiply by a smooth cutoff supported in the disk and equal to one on the truncation, and mollify with radius small enough to keep the support inside the disk. This proves density of smooth compactly supported tests in its L2 space. The Hilbert-space representation in [F17] therefore gives an L2 weak derivative. Thus f∈Wloc1,2.

For any g∈Wloc1,2, localization by a smooth cutoff, [F16], and Minkowski's inequality show that g∗ρδ→g strongly in local W1,2. Weak derivatives commute with convolution on a safe interior by the direct test calculation ∂i(g∗ρδ)(x)=−∫g(y)∂yiρδ(x−y) dA(y)=∫(∂ig)(y)ρδ(x−y) dA(y). No full-Choice Sobolev chain-rule supplier is used.

For smooth F:R→R whose derivative is bounded and Lipschitz, approximate g∈Wloc1,2 strongly by smooth mollifications. Classical differentiation and the estimate ∥F′(gn)∇gn−F′(g)∇g∥2≤∥F′∥∞∥∇gn−∇g∥2+∥(F′(gn)−F′(g))∇g∥2 prove ∇F(g)=F′(g)∇g. For the second term, split into ∣gn−g∣≤t and its complement, then use the Lipschitz bound on the first part and convergence in measure plus absolute continuity of ∫∣∇g∣2 on the second. The same estimate proves strong local W1,2 convergence under this composition. Choose smooth ϑ with ϑ=0 on (−∞,0] and ϑ=1 on [1,∞), put Q(t)=tϑ(t) and Pδ(t)=δQ(t/δ). Then ∣Pδ(t)−t+∣≤δ, the derivatives are uniformly bounded, and Pδ′(t)→1{t>0} (with value 0 at t=0). Dominated convergence therefore gives g+∈Wloc1,2,∇g+=1{g>0}∇galmost everywhere.

We now prove the bounded plane strict-contact identity. Let x,y be locally bounded above and below subharmonic functions, put w=max⁡(x,y) and f=x−y. The preceding bound gives x,y,w∈Wloc1,2, and the positive-part formula gives ∇(w−y)=∇f almost everywhere on {f>0}. Fix φ∈Cc∞ and choose smooth χn with 0≤χn≤1, χn(t)=0 for t≤1/(2n), and χn(t)=1 for t≥1/n. Put ψn=φχn(f). Its gradient vanishes where f≤1/(2n); where f>1/(2n) the displayed gradients agree. Thus ∇(w−y)⋅∇ψn=∇(x−y)⋅∇ψnalmost everywhere. For δ>0 use smooth tests ψn,δ=φχn(x∗ρδ−y∗ρδ). Strong local W1,2 convergence and the scalar chain rule give ψn,δ→ψn strongly in W1,2; pointwise convergence of the radial mollifications gives pointwise convergence to the actual f, and ∣ψn,δ∣≤∣φ∣. For each p∈{x,y,w} the distributional Riesz identity and integration by parts give ∫ψn,δ dμp=−12π∫∇p⋅∇ψn,δ dA. Strong convergence on the right and dominated convergence against the locally finite Radon measure on the left pass this identity to ψn. Subtract the p=y identity from those for p=w and p=x, use the gradient equality, and then let n→∞. Since χn(t)→1{t>0}, dominated convergence gives, as Borel measures, 1{x>y}μx=1{x>y}μmax⁡(x,y). To pass from smooth tests to Cc, extend any Cc function by zero and convolve it with ρδ; uniform continuity gives uniform convergence, and small δ keeps the supports in a fixed compact subset of the domain. For a Borel contact set E, let λ=1Eμp. It is finite on compact sets because λ≤μp. It is inner regular on every Borel set B: take a compact exhaustion Kn of the plane domain. For fixed n and η>0, outer regularity of μp gives an open On⊃Kn∖(E∩B) with μp(On)≤μp(Kn∖(E∩B))+η. Then Fn=Kn∖On is compact in E∩B, and λ((B∩E∩Kn)∖Fn)≤η. Letting η↓0 and then exhausting the domain proves inner regularity on B; the countable selections are supplied by DC⇒CC. To get outer regularity, suppose λ(B)<∞ and choose a relatively compact open exhaustion Un of the domain. By the inner regularity just proved, choose compact Fn⊂Un∖B with λ((Un∖B)∖Fn)<η2−n. The open set V=⋃n(Un∖Fn) contains B and satisfies λ(V∖B)<η. If λ(B)=∞, outer regularity is automatic. Thus λ is Radon. Smooth compactly supported functions are uniformly dense in Cc by zero extension and convolution with ρδ on a safe interior. Therefore [F19] identifies the restricted measures from their Cc integrals. This proves the displayed identity as an exact Borel measure identity. The proof uses the actual upper-semicontinuous representatives and no quasicontinuous replacement.

Finite-energy potentials are locally Sobolev

Let σ be finite positive with compact support K, mass m>0 and I(σ)<∞, and write p(z)=∫log⁡∣z−w∣ dσ(w). For a compact plane set Q, Tonelli and the local integrability of ∣log⁡∣z−w∣∣2 uniformly for w∈K show that ∫K∣log⁡∣z−w∣∣2dσ(w)<∞ for area-a.e. z∈Q. Jensen [F18] then gives ∫Q∣p(z)∣2 dA(z)≤m∫K∫Q∣log⁡∣z−w∣∣2 dA(z) dσ(w)<∞. Thus p∈Lloc2. Put σδ=σ∗ρδ and pδ=p∗ρδ=pσδ; Fubini justifies the last identity because the logarithm is locally area-integrable on the compact sets involved. The convolution κδ=ρδ∗ρδ is radial and has mass one. The circle-mean calculation 12π∫02πlog⁡∣a+reit∣ dt=log⁡max⁡(∣a∣,r)≥log⁡∣a∣ follows by factoring out the larger radius and averaging the logarithm series, with the boundary case obtained by its integrable limit. Hence kR∗κδ≤kR for kR(a)=log⁡(R/∣a∣). Choose R>1+diam⁡K+2 and 0<δ<1, so the shifted kernel is nonnegative on all smoothed supports. Tonelli gives I(σδ)+m2log⁡R=∬(kR∗κδ)(z−w) dσ(z)dσ(w)≤∬kR(z−w) dσ(z)dσ(w)=I(σ)+m2log⁡R. On supp⁡σδ, pδ≤mlog⁡R, so ∫pδ− dσδ=I(σδ)+∫pδ+ dσδ≤I(σ)+m2log⁡R. For a fixed smooth cutoff η, integration by parts and Δpδ=2πσδ give ∫η2∣∇pδ∣2 dA≤4π∫pδ− dσδ+4∫pδ2∣∇η∣2 dA. The last term is uniformly bounded by Jensen's inequality applied to p∗ρδ and p∈Lloc2 on a slightly larger compact set. Thus ∇pδ is uniformly bounded in local L2. Approximate identity convergence from [F16] gives pδ→p in local L2; the bounded-functional and Hilbert-space argument above then produces the weak derivatives of p in local L2. Consequently every finite-energy logarithmic potential belongs to Wloc1,2 under DC.

The same strict-contact test proof also applies to a finite-energy subharmonic x and a smooth finite-valued subharmonic obstacle y: then x,y,w=max⁡(x,y)∈Wloc1,2, and at points where x=−∞ the radial mollifications tend to −∞ while y stays finite. Define χn(−∞)=0; the tests converge pointwise there as well. The DCT argument therefore proves the exact Borel restriction identity on the strict contact set also in this one-obstacle case.

Full-mass truncation and the unbounded contact identity

Let P1=C∪{∞}, ρFS(z)=12log⁡(1+∣z∣2),ω=ddcρFS,ddc=(2π)−1Δ dA,∫P1ω=1. Indeed ΔρFS=2(1+∣z∣2)−2, so polar integration gives (2π)−1∫CΔρFS dA=1; the form extends smoothly over infinity using the coordinate t=1/z. Here ρFS is a local potential on the affine chart. An ω-psh function q is an upper-semicontinuous locally integrable function on P1 such that q+ρU is subharmonic in every chart with ddcρU=ω. Its ordinary current Tq=ω+ddcq is a positive Radon measure: the local Riesz measures agree on overlaps. Its total mass is one, since on the compact surface ⟨ddcq,1⟩=⟨q,ddc1⟩=0 and ∫ω=1. These statements use the local Riesz-measure interface [F4] and the finite-atlas gluing just described.

For bounded ω-psh x,y, adding a chart potential turns them into locally bounded subharmonic functions. The bounded plane identity above then gives globally on P1 1{x>y}Tx=1{x>y}Tmax⁡(x,y). The strict set is Borel: for extended-valued upper-semicontinuous functions, {x>y}=⋃r∈Q({x>r}∩{y<r}).

For any ω-psh q, put qj=max⁡(q,−j), Tj=Tqj and Fj={q>−j}. Each Tj is positive and has mass one. For j≥k, apply the bounded identity to (qj,−k); since {qj>−k}=Fk and max⁡(qj,−k)=qk, it gives Tj∣Fk=Tk∣Fk. Thus Rj=1FjTj increases. Define the nonpluripolar truncation limit Tqnp=lim⁡jRj and the full-mass class E={q: Tqnp(P1)=1}. Since Tj(P1)=1, this definition is equivalent to

q∈E⟺Tj({q≤−j})=1−Rj(P1)⟶0.(1)

If q∈E, stabilization gives Tj∣Fj=Tqnp∣Fj; the complementary tails of both measures have mass 1−Rj(P1). Consequently

∥Tj−Tqnp∥TV≤2(1−Rj(P1))⟶0.(2)

For q∈E, this total-variation limit is Radon: given a Borel set, approximate it from outside by an open set for a sufficiently close Radon Tj; the total-variation error transfers the outer-regularity estimate to Tqnp. For an open set, approximate it from inside by a compact set for Tj and transfer the estimate in the same way. The ordinary current is this same measure. Indeed qj↓q and ∣qj∣≤∣q∣ almost everywhere, so dominated convergence gives qj→q in Lloc1 on every chart. Hence Tj=ω+ddcqj→Tq=ω+ddcq distributionally. By (2), the same sequence converges in total variation to Tqnp. The two limits therefore agree on smooth tests, and uniqueness of the local Riesz measure in [F4] gives

Tqnp=Tq(q∈E).(3)

This identifies the truncation limit with the ordinary current instead of leaving two measures unnamed as though they were equal.

The integer truncation levels are cofinal among real levels: for s≤t, the bounded contact identity applied to (qt,−s) gives stabilization on {q>−s}. Thus changing every level by a fixed constant leaves the truncation limit, condition (1), and membership in E unchanged.

We need that E is upward closed. First derive bounded comparison. For bounded ω-psh α,β, put r=max⁡(α,β). On {α<β} one has Tr=Tβ, and on {α>β} one has Tr=Tα. Since Tr has mass one, Tβ(α<β)=1−Tr(α≥β)≤1−Tα(α>β)=Tα(α≤β). Apply this to (α,β−δ) and let δ↓0; the strict sublevel sets increase to {α<β}, giving

Tβ(α<β)≤Tα(α<β).(4)

For α,β∈E, apply (4) to αj=max⁡(α,−j) and βk=max⁡(β,−k). Let k→∞ and then j→∞. The indicators converge pointwise, and (2)-(3) give total-variation convergence of both truncated currents, so

Tβ(α<β)≤Tα(α<β).(5)

Now suppose θ∈E and θ≤q for an ω-psh q. By the constant-shift observation, shift both down so q≤−2. Put v=q/2, vj=max⁡(v,−j)=q2j/2 and θ2j=max⁡(θ,−2j). Since v≤−1, the Borel sets Sj={θ2j<vj−j+1} satisfy {v≤−j}⊆Sj⊆{θ≤−j}: on the first set θ2j≤q2j=2vj=−2j<vj−j+1, and the second inclusion follows from vj≤−1. Apply (5) to the bounded pair (θ2j,vj−j+1); adding a constant leaves the current unchanged. Then Tvj(v≤−j)≤Tvj(Sj)≤Tθ2j(Sj)≤Tθ2j(θ≤−j)=Tθj(θ≤−j)⟶0. For the equality, Tθ2j and Tθj agree on {θ>−j} by stabilization and both have mass one. Hence v∈E by (1). Since Tvj=12Tq2j+12ω, Tq2j(q≤−2j)≤2Tvj(v≤−j)⟶0. These are the even-index tails in (1); the tail masses are decreasing, so all tails tend to zero and q∈E. This proves upward closure.

Finally let θ∈E and let ξ be any ω-psh function, with no lower bound and no finiteness assumption on its current. Upward closure gives q=max⁡(θ,ξ)∈E. Define θj=max⁡(θ,−j),ξj+1=max⁡(ξ,−j−1),qj=max⁡(q,−j), and E={θ>ξ}, Ej={θj>ξj+1}. Then E⊆Ej and max⁡(θj,ξj+1)=qj. Bounded contact gives Tθj∣Ej=Tqj∣Ej, hence for every Borel B, Tθj(B∩E)=Tqj(B∩E). By (2)-(3), Tθj→Tθ and Tqj→Tq in total variation. Passing to the limit proves the exact Borel measure identity

1{θ>ξ}Tθ=1{θ>ξ}Tmax⁡(θ,ξ).(6)

The proof uses bounded strict-contact only as established above; it does not assume a quasicontinuous-representative theorem or any external unbounded contact identity. It permits ξ=−∞ on arbitrary Borel sets.

1.1F1F2algebragiven

Descent clause: let K be nonempty compact and μn⇒μ finite positive Borel measures on K, with mn:=μn(K) and m:=μ(K). Testing weak convergence against 1 gives mn→m. If m=0, then μ=0. For fixed z, set bz=1+∣z∣+max⁡w∈K∣w∣; then k(z,w)≥−log⁡bz on K, so Uμn(z)≥−mnlog⁡bz→0=Uμ(z). Put D=max⁡(1,diam⁡K); then k≥−log⁡D on K2, so I(μn)≥−mn2log⁡D→0=I(μ). If m>0, choose N so mn>0 for all n≥N and define φn=μn/mn for that tail and φ=μ/m. Then φn⇒φ. Applying [F2], and using mn→m, gives both inequalities after rescaling: for each fixed z the values Uφn(z) are uniformly bounded below and may be +∞, so multiplication by positive scalars converging to m preserves their extended liminf; the energies are uniformly bounded below by −log⁡D, so multiplication by mn2→m2 likewise preserves the energy liminf. Since Uμn=mnUφn and I(μn)=mn2I(φn) for n≥N, the desired inequalities follow.

1.2F1F3F4F6F10given

Domination setup: let μ,ν be finite positive Borel measures with compact support, M:=μ(C)>0, ν(C)≤M, I(μ)<+∞, c∈R, and assume Uμ≤Uν+c μ-a.e.; put u:=pμ/M and v:=(pν−c)/M, so that u≥v μ-a.e. and, by [F6], [F3] and the scaling in [F4], u and v are subharmonic on C, with Riesz measures μu=μ/M and μv=ν/M. With R>max⁡{1,diam⁡(supp⁡μ∪supp⁡ν)} the shifted kernel kR is nonnegative on the product of that compact carrier and [F1] gives ∬kR dμ dμ=I(μ)+M2log⁡R<+∞; by Tonelli [F10] the nonnegative function z↦∫kR(z,w) dμ(w) is finite for μ-a.e. z, hence so is Uμ, which differs from it by the constant Mlog⁡R, and therefore pμ and u are finite μ-a.e. Put a:=ν(C)/M≤1, S:=supp⁡μ∪supp⁡ν and A:=∫∣w∣ dμ(w), B:=∫∣w∣ dν(w); for ∣z∣≥R0:=1+2max⁡w∈S∣w∣ one has ∣log⁡∣1−w/z∣∣≤2∣w∣/∣z∣, hence the uniform far-field estimates ∣u(z)−log⁡∣z∣∣≤2A/(M∣z∣) and ∣v(z)−alog⁡∣z∣+c/M∣≤2B/(M∣z∣).

1.3F3F9F13

Agreement lemma: if v1,v2 are subharmonic on C and equal area-a.e., then they agree everywhere. For each center a and radius r>0, their disk averages Ar(vi)(a) are equal because the functions agree a.e. and are locally integrable by [F9]. Integrating the circle submean inequality in the radius gives Ar(v)(a)≥v(a) when v(a) is finite; upper semicontinuity gives Ar(v)(a)≤N for every N>v(a) once r is small. Hence Ar(v)(a)→v(a). If v(a)=−∞, upper semicontinuity gives the same upper bound for every real N, so the disk averages tend to −∞. Equality of the disk averages therefore gives v1(a)=v2(a), including where both equal −∞.

1.4F4F6

Compactify the potentials to use (6). Set a:=ν(C)/M≤1, and on P1 put ϕ=u−ρFS and ψ=v−ρFS. In the coordinate t=1/z near infinity, ϕ(1/t)=1M∫log⁡∣1−tw∣ dμ(w)−12log⁡(1+∣t∣2),ψ(1/t)=(1−a)log⁡∣t∣+1M∫log⁡∣1−tw∣ dν(w)−cM−12log⁡(1+∣t∣2). The integrals are smooth and harmonic for sufficiently small ∣t∣. In the infinity chart ρFS(z)=−log⁡∣t∣+12log⁡(1+∣t∣2), so adding the local Fubini--Study potential to ϕ cancels the smooth curvature term and leaves the first harmonic integral; Tϕ has no mass near infinity. For ψ the local potential has the form (1−a)log⁡∣t∣ plus a harmonic function, so it is subharmonic there and contributes the atom (1−a)δ∞. The ordinary currents are Tϕ=ω+ddcϕ=μ/M,Tψ=ω+ddcψ=ν/M+(1−a)δ∞. The atom at infinity is the residual mass; no measure domination ν≤μ is used.

Let P={z:pμ(z)=−∞}. This is Borel by upper semicontinuity. For R>diam⁡(supp⁡μ) with R>1, put U~(z)=∫kR(z,w) dμ(w). Then U~=Uμ+Mlog⁡R and, by finite energy and Tonelli, ∫U~ dμ=I(μ)+M2log⁡R<∞. Since U~=+∞ on P, it follows that μ(P)=0, so Tϕ(P)=0.

For Ej={ϕ>−j} and ϕj=max⁡(ϕ,−j), write Tj=ω+ddcϕj. On C, ϕj+ρFS=max⁡(u,ρFS−j). The finite-energy estimate above gives u∈Wloc1,2; the one-obstacle strict-contact proof therefore gives 1EjTj=1EjTϕ on C. For all sufficiently large j, Ej contains a neighborhood of infinity and ϕj=ϕ there, so this equality holds on all of P1. The truncation measure lim⁡j1EjTj consequently equals Tϕ∣P1∖P and has mass one. Thus ϕ∈E. The constant-shift property proved above gives ϕ+ε∈E for every ε>0. [F1, F3, F4, F5, F6, F8, F9, F10, F13]

2.1step 1.2F3

For ε>0 put Aε:={u+ε>v} and wε:=max⁡{u+ε,v}. The set is Borel because Aε=⋃q∈Q({u>q}∩{v<q+ε}), and upper-semicontinuous functions are Borel. By [F3], wε is subharmonic and equals u+ε on Aε. By step 1.2, u is finite μ-a.e. Outside the union of that null set and the null set in the hypothesis, if u+ε≤v then u<v, contradicting u≥v. Hence μ(Aεc)=0, so Aε is nonempty.

Apply (6) with θ=ϕ+ε and ξ=ψ. On C, the strict set is Aε and max⁡(ϕ+ε,ψ)+ρFS=wε. Restricting (6) to C yields the exact Borel measure identity 1Aε(μ/M)=1Aελε,λε:=μwε. [F15, F16, F17, F18, F19]

2.2F4F8F9F13

Mass at infinity: let λε=μwε, which is a positive Radon measure by [F4]. Choose a smooth χ:R→[0,1] equal to 1 on a neighborhood of [0,1] and supported in (−1,2); such a cutoff is constant near zero. Put φR(z)=χ(∣z∣/R). It is smooth at the origin, equals 1 on B(0,R) and is supported in B(0,2R), so λε(B(0,R))≤∫φR dλε≤λε(B(0,2R)). The derivatives of φR are supported in a compact annulus where wε is locally integrable, so wεΔφR is absolutely integrable. Apply [F13] to its positive and negative parts. By the Riesz definition this gives ∫φR dλε=12π∫wεΔφR dA=∫0∞mε(Rs)f(s) ds,f(s)=sχ′′(s)+χ′(s), where mε(t)=(2π)−1∫02πwε(teiθ) dθ. By the far-field estimates in step 1.2, uniformly for all sufficiently large t, mε(t)=log⁡t+Cε+η(t),η(t)→0, where Cε=ε if a<1 after the eventual dominance crossover, and Cε=max⁡(ε,−c/M) if a=1; the far-field estimates give ∣η(t)∣≤C/t on this tail. The function f=(sχ′)′ is supported away from zero and satisfies ∫0∞f(s) ds=0,∫0∞f(s)log⁡s ds=1, by integration by parts and χ(0)=1, χ(∞)=0. Consequently ∫φR dλε=1+∫0∞η(Rs)f(s) ds⟶1. There is no extra factor 1/(2π) in this last error term: the angular factor 2π cancels the Riesz normalization. The cutoff sandwich and continuity from below now give λε(C)=1.

3.1step 1.4step 2.1F4

By the inline compactification and truncation argument in step 1.4, λε(B∩Aε)=(μ/M)(B∩Aε) for every Borel B⊆C. Since μ(Aεc)=0 by step 2.1, for every such B positivity of λε gives λε(B)≥λε(B∩Aε)=(μ/M)(B∩Aε)=(μ/M)(B). Hence λε≥μ/M as measures.

4.1step 3.1step 2.2

Combining steps 3.1 and 2.2, λε≥μ/M and λε(C)=1=(μ/M)(C); hence λε=μ/M: for every Borel B, λε(B)=λε(C)−λε(Bc)≤1−(μ/M)(Bc)=(μ/M)(B)≤λε(B), where the outer inequality is step 3.1.

5.1step 4.1F4F5F9F11

By [F9], both u and v are finite outside an area-null set. Define h=max⁡(0,v−u−ε) on this common area-conull set and h=0 on its complement. Then h≥0, h∈Lloc1 because h=wε−u−ε a.e. and ∣h∣≤∣wε∣+∣u∣+ε. Equality of Riesz measures from step 4.1 gives ΔTh=2πλε−2πμ/M=0. Weyl's lemma [F11], with its Countable Choice premise supplied by [F5], gives a harmonic H with h=H a.e.; continuity and h≥0 a.e. imply H≥0 everywhere.

6.1step 2.1step 5.1step 1.3F3F6F12F14

The functions wε and u+ε+H are subharmonic and agree area-a.e. by step 5.1; their subharmonicity follows from [F3], [F6] and [F14]. The disk-average uniqueness in step 1.3 gives wε=u+ε+H everywhere. Choose z0∈Aε, which is nonempty by step 2.1. Here u(z0) is finite, because −∞ cannot be strictly greater than a subharmonic value. Since wε(z0)=u(z0)+ε, the equality gives H(z0)=0. By [F12], the nonnegative harmonic function H vanishes identically. Hence wε=u+ε everywhere and v≤u+ε on C.

7.1step 1.1step 6.1∎

Step 1.1 proves assertion (a). For (b), step 6.1 gives v≤u+ε everywhere for every ε>0; letting ε↓0 gives v≤u everywhere, that is pν−c≤pμ, equivalently Uμ≤Uν+c everywhere, which is assertion (b).

Remarks

Why the mass condition and the finite energy are needed. The hypothesis ν(C)≤μ(C) is what makes the growth of wε=max⁡{u+ε,v} equal to log⁡∣z∣+O(1) with the normalised leading coefficient 1, and it supplies the residual atom (1−a)δ∞ in the compactification. It is a total-mass condition; no measure inequality ν≤μ is used. The finite-energy assumption on μ is used for its μ-a.e. potential finiteness, the local W1,2 estimate, and the full-mass truncation identity. No finiteness of I(ν) is required, so ν may have atoms and infinite logarithmic energy.

Where the domination is spent later. The principle is the standard μ-a.e.\ to everywhere upgrade of potential theory. No item in this batch cites it: the capacity--transfinite-diameter equality and the Chebyshev comparison of the companion examples page are authored without it, so the statement stands as the general domination supplier of the design and any later consumer must cite it explicitly.

The contact-set argument is proved inline. The bounded plane identity is proved from local W1,2 estimates, scalar Sobolev composition, and tests supported on the strict-contact set. Finite energy places ϕ in the full-mass truncation class directly; the compactified unbounded identity is then derived from bounded truncations and total-variation convergence. The Guedj-Zeriahi contact statement is cited as a cross-check, not a proof premise. The argument preserves Dependent Choice: all Sobolev and Hilbert interfaces used in it require at most Countable Choice.

Choice. Dependent Choice is assumed in the statement; it is spent through the Riesz measure supplier [F4], and it supplies the Countable Choice assumed by Weyl's lemma in step 5.1 ([F5]) and by the polar-coordinate formula [F13] in the radial cutoff computation in step 2.2. It also supplies the Countable Choice interfaces in [F15]--[F18] used by the inline Sobolev and mollification proofs; no Full Axiom of Choice or full-Choice Sobolev chain rule is imported. The descent clause [F2] needs no choice beyond the statement's available finite-measure framework.

DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-10-02Open item page →

Green function with a pole at infinity

Definition

Let K⊆C be compact and nonpolar, meaning that cap⁡(K)>0 for the logarithmic capacity of Robin constant and logarithmic capacity of a compact set; by Capacity-polar sets, quasi-everywhere, and subharmonic polar sets this is exactly the statement that K is not capacity-polar. Such a K is nonempty, the complement C∖K is a nonempty open set, and it has exactly one unbounded connected component (The complement of a compact plane set has exactly one unbounded connected component); that component is written

Ω:=Ω(K)⊆C∖K.

By A complex domain is a nonempty connected open subset of C, Ω is a complex domain, and Ω≠C because K≠∅ is disjoint from it. It is called the exterior domain of K. Its boundary ∂Ω (interior, closure and boundary in the sense of Interior, closure, boundary, limit point, isolated point and dense subset of a metric space) is a compact subset of K: indeed ∂Ω⊆∂(C∖K)⊆K, and it is called the outer boundary of K. Every point of ∂Ω is a finite point of C; the point ∞ is not part of it.

Since cap⁡(K)>0, the Robin constant VK=inf⁡μ∈P(K)I(μ) of K is a real number, VK<+∞ (Robin constant and logarithmic capacity of a compact set); it is the Robin constant in the pole at infinity. Harmonicity below is that of Plane harmonic functions, and moduli are those of Real and imaginary parts, complex conjugation, and modulus.

A Green function of Ω with pole at infinity and Robin constant VK is a function g:Ω→R with the following four properties.

  1. Positive and harmonic. g(z)>0 for every z∈Ω, and g is harmonic on Ω.

  2. Logarithmic normalization at infinity. Writing log⁡ for the natural logarithm and ∣⋅∣ for the modulus,

    g(z)−log⁡∣z∣⟶VKas ∣z∣→∞, z∈Ω,

    meaning: for every real ε>0 there is a real r such that ∣g(z)−log⁡∣z∣−VK∣<ε for every z∈Ω with ∣z∣>r. Because Ω is unbounded, this condition is never vacuous.

  3. Local boundedness near finite boundary points. For every ξ∈∂Ω there is a real r>0 with

    sup⁡{ g(z):z∈Ω, ∣z−ξ∣<r }<+∞.

  4. Zero boundary limit quasi-everywhere. There is a Borel capacity-polar set E⊆∂Ω such that

    lim⁡Ω∋z→ξg(z)=0for every ξ∈∂Ω∖E.

    That is, g has boundary limit 0 quasi-everywhere on the outer boundary, in the sense of Capacity-polar sets, quasi-everywhere, and subharmonic polar sets applied to the compact conductor ∂Ω.

Notation. If a Green function with pole at infinity and Robin constant VK exists and is unique under properties 1–4, that unique function is written

z↦gΩ(z,∞),equivalently z↦gΩ(K)(z,∞).

Neither existence nor uniqueness is asserted by this definition: they are conclusions of the theorem that builds the Green function from the equilibrium potential, and it is only there that the notation gΩ(⋅,∞) is licensed.

Independence from the finite-pole kernel. Properties 1–4 are stated for an unbounded exterior domain and normalize the logarithmic term with coefficient +1 and the additive constant VK at infinity. This is not the published finite-pole canonical Green kernel z↦gΩ(z,a) of The canonical Green kernel of a plane domain, whose pole is a point a∈Ω and whose local form is gΩ(z,a)=−log⁡∣z−a∣+h(z) with h harmonic across a. No clause above is imported from, or reduces to, that kernel; the two are different objects even on a common domain.

Remarks

Local boundedness in the comparison argument. Property 3 records the local upper bound at each finite boundary point used in the comparison argument that identifies two candidates. Property 4 is a boundary condition on the candidate, not a regularity assumption on ∂Ω.

Why the boundary limit is only quasi-everywhere. For a general compact nonpolar K the outer boundary can contain irregular points, at which the equilibrium potential need not tend to its boundary value; those points form a capacity-polar set. Requiring the limit 0 at every boundary point would exclude the model function g=VK−UμK and would not be the convention under which existence holds. The quasi-everywhere convention is the one under which the Green function is characterized by properties 1–4.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-10-02Open item page →

Green function at infinity from the equilibrium potential

Statement

Assume the Axiom of Choice. Let K⊆C be compact with cap⁡(K)>0, let Ω be the unbounded connected component of C∖K, let μK be the equilibrium measure of K, and let VK=log⁡1cap⁡(K) be the Robin constant. Define

g(z):=VK−UμK(z),z∈Ω.

Then:

  1. Existence, uniqueness and the notation gΩ(⋅,∞). g satisfies properties 1-4 of Green function with a pole at infinity, and every function g~:Ω→R satisfying properties 1-4 equals g. In particular the Green function with pole at infinity exists, is unique, and gΩ(z,∞)=VK−UμK(z)(z∈Ω).
  2. g(z)>0 for every z∈Ω, and g is harmonic on the complex domain Ω.
  3. g(z)−log⁡∣z∣→VK as ∣z∣→∞ with z∈Ω.
  4. For every ξ∈∂Ω there is a real r>0 with sup⁡{g(z):z∈Ω, ∣z−ξ∣<r}<+∞.
  5. Call ξ∈∂Ω regular when UμK(ξ)=VK and irregular otherwise, the convention of Saff, Definition 3.3. Then lim⁡Ω∋z→ξg(z)=0for every regular ξ∈∂Ω, no value being imposed at irregular points; the irregular points of ∂Ω form a Borel capacity-polar subset of K, so g has boundary limit 0 quasi-everywhere on ∂Ω in the sense of Capacity-polar sets, quasi-everywhere, and subharmonic polar sets and property 4 of Green function with a pole at infinity.

The Axiom of Choice is spent through the equilibrium-measure theorem and Frostman's theorem; by AC implies DC implies countable choice these also supply Dependent Choice for the Evans-measure supplier and Countable Choice for the distributional-Riesz supplier, while the potential, harmonicity and barrier estimates themselves are choice-free.

Facts & Assumptions

Given: a compact set K⊆C with cap⁡(K)>0, its equilibrium measure μK, the exterior domain Ω (the unbounded connected component of C∖K) with boundary ∂Ω, the Robin constant VK, the Axiom of Choice, and the conventions of Logarithmic potential and energy of a positive compactly supported measure, Robin constant and logarithmic capacity of a compact set, Capacity-polar sets, quasi-everywhere, and subharmonic polar sets, Green function with a pole at infinity and A complex domain is a nonempty connected open subset of C.

[F1]

For a finite positive Borel measure μ of compact support, Uμ(z)=∫Ck(z,w) dμ(w)∈(−∞,+∞] with k(z,w)=log⁡1∣z−w∣, the diagonal value being +∞, and pμ=−Uμ=∫log⁡∣z−w∣ dμ(w)∈[−∞,+∞) (Logarithmic potential and energy of a positive compactly supported measure).

[F2]

For nonempty compact F one has VF=inf⁡ν∈P(F)I(ν)∈(−∞,+∞] and cap⁡(F)=exp⁡(−VF) when VF<+∞ and cap⁡(F)=0 when VF=+∞; hence cap⁡(K)>0 is equivalent to VK<+∞ (Robin constant and logarithmic capacity of a compact set).

[F3]

Assume the Axiom of Choice: every nonempty compact K with cap⁡(K)>0 has exactly one equilibrium measure μK, and I(μK)=VK=inf⁡μ∈P(K)I(μ)<+∞ (Existence and uniqueness of the equilibrium measure); the Axiom of Choice implies Dependent Choice, which implies Countable Choice (AC implies DC implies countable choice).

[F4]

Assume the Axiom of Choice: for compact K with cap⁡(K)>0 the equilibrium potential satisfies UμK(z)≤VK for every z∈C, and UμK(z)=VK on K outside a Borel capacity-polar set which is a countable union of compact sets of capacity zero (Frostman inequalities and quasi-everywhere equilibrium equality).

[F5]

Assume Countable Choice: for a finite positive Borel measure μ of compact support, pμ is locally integrable on C, subharmonic on the domain C, and harmonic on C∖supp⁡μ (Distributional Laplacian of a compact logarithmic potential).

[F6]

If K⊆C is compact, then C∖K has exactly one unbounded connected component and every other component is bounded; whenever R>0 satisfies K⊆{z:∣z∣≤R}, the exterior {z:∣z∣>R} is contained in that component (The complement of a compact plane set has exactly one unbounded connected component), which is therefore a complex domain (A complex domain is a nonempty connected open subset of C).

[F7]

A set is capacity-polar when every compact subset of it has capacity zero; a property holds quasi-everywhere on a compact conductor when it holds outside a Borel capacity-polar subset, and a set contained in a capacity-polar set is capacity-polar (Capacity-polar sets, quasi-everywhere, and subharmonic polar sets).

[F8]

A subharmonic function on a complex domain which attains a finite maximum at an interior point is constant on the domain (A plane subharmonic function with an interior maximum is constant on its component); a harmonic function on a complex domain with an interior local maximum or minimum is constant (Maximum and minimum principles for plane harmonic functions).

[F9]

A real-valued function is harmonic when it is C2 with vanishing Laplacian (Plane harmonic functions); a C2 function is subharmonic exactly when its Laplacian is ≥0 (A C^2 function is subharmonic exactly when its Laplacian is nonnegative, Subharmonic functions on plane domains). Consequently harmonic functions are subharmonic, real linear combinations of harmonic functions are harmonic, and the negative of a harmonic function is harmonic.

[F10]

Assume Dependent Choice, hence Countable Choice. Let (Em)m≥1 be a specified sequence of compact subsets of C with cap⁡(Em)=0 for every m and E=⋃m≥1Em. If E≠∅ there is a finite positive Borel measure σ carried by E with Uσ(z)=+∞ for every z∈E (Compact capacity-zero sets and subharmonic minus-infinity loci).

[F11]

A Green function of Ω with pole at infinity and Robin constant VK is a function g:Ω→R that is positive and harmonic on Ω, satisfies g(z)−log⁡∣z∣→VK as ∣z∣→∞, is locally bounded near every point of ∂Ω, and has boundary limit 0 outside a Borel capacity-polar subset of ∂Ω; when existence and uniqueness hold the function is written gΩ(⋅,∞), and the outer boundary ∂Ω is a compact subset of K (Green function with a pole at infinity).

[F12]

A Borel probability measure on K is carried by K, and the support of a finite positive Borel measure is closed, carries the measure and is contained in K when the measure is carried by the compact K (Probability measures and probability spaces, Support of a finite Borel measure on the plane).

[F13]

A point x lies in the boundary ∂A exactly when every ball about x meets both A and its complement, and ∂A=∂(X∖A) (Interior, closure, boundary, limit point, isolated point and dense subset of a metric space).

[F15]

Assume Countable Choice. The space R2 with the Euclidean metric d2 is complete (R and Rn for n≥1 with the Euclidean metric are complete, componentwise from the Cauchy criterion in R) and separable, since Q2 is at most countable (Q is countably infinite, A product of two at most countable sets is at most countable) and dense: for x∈R2 and ε>0 the density of Q in R (The rationals embed densely in the reals) gives rationals q1,q2 with ∣xj−qj∣<ε/2, and d2(x,q)≤2max⁡j∣xj−qj∣<ε (Rn as the set of functions n→R, and d1, d2, d∞ are metrics on it); hence R2, and therefore C under the identification C≅R2 used in Logarithmic potential and energy of a positive compactly supported measure, is Polish (Polish spaces are separable completely metrizable spaces). Moreover, if P is Polish and μ is a Borel probability measure on P, then for every Borel A⊆P and every ε>0 there is a compact K⊆A with μ(A∖K)<ε (Assuming countable choice, Borel probability measures on Polish spaces are inner regular).

Proof

technique · direct
1.1F2F3F6F11F12given

By [F3] the equilibrium measure μ:=μK is a Borel probability measure on K with I(μ)=VK<+∞ and μ≠0; by [F12] it is carried by K, and its support S:=supp⁡μ is a nonempty compact subset of K with μ(C∖S)=0. By [F2], VK=log⁡1cap⁡(K)<+∞. By [F6] Ω is the unique unbounded connected component of C∖K, every other component is bounded, and {∣z∣>R0}⊆Ω whenever K⊆{z:∣z∣≤R0}; by [F11] Ω is a nonempty complex domain with ∂Ω⊆K compact and Ω∩K=∅, so dist⁡(z,K)>0 for every z∈Ω.

1.2F3F5F9given

Let ν be a finite positive Borel measure of compact support Sν⊆K. By [F5], whose Countable Choice hypothesis is available by [F3], the function pν is harmonic on C∖Sν; by [F9] the function Uν=−pν is harmonic there too. Since Ω⊆C∖K⊆C∖Sν, every such Uν is harmonic on Ω; in particular Uμ is harmonic on Ω.

1.3F1algebra

Far-field expansion. Let ν be a finite positive Borel measure of compact support Sν; the case ν=0 is trivial, so assume Sν≠∅ and put ρ:=max⁡{∣u∣:u∈Sν}. For ∣z∣≥2ρ and u∈Sν one has ∣u/z∣≤1/2 and therefore ∣log⁡1∣1−u/z∣∣=∣log⁡∣1−u/z∣∣≤2∣u/z∣≤2ρ∣z∣; integrating against ν gives ∣Uν(z)+ν(C)log⁡∣z∣∣=∣∫log⁡1∣1−u/z∣ dν(u)∣≤2ρ ν(C)∣z∣, so in particular Uν(z)=−ν(C)log⁡∣z∣+o(1) as ∣z∣→∞.

1.4F1F2F7F15algebra

Finite-energy measures annihilate Borel polar sets. Let E⊆C be a Borel capacity-polar set and let ρ be a finite positive Borel measure of compact support with I(ρ)<+∞; then ρ(E)=0. Indeed, suppose ρ(E)>0, put m:=ρ(C)>0 and apply [F15] to the Borel probability measure ρ/m on the Polish space C, the Borel set E and ε:=ρ(E)/(2m)>0: there is a compact K⊆E with (ρ/m)(E∖K)<ρ(E)/(2m), so t:=ρ(K)>ρ(E)/2>0. Put ν:=ρ∣K/t∈P(K) and choose a real R>max⁡{1,diam⁡(supp⁡ρ∪K)}; then kR≥0 on (supp⁡ρ∪K)×(supp⁡ρ∪K) and supp⁡ν⊆K, so by [F1] and kR≥0, ∫ ⁣ ⁣∫kR dν dν=t−2∫ ⁣ ⁣∫kR d(ρ∣K) d(ρ∣K)≤t−2∫ ⁣ ⁣∫kR dρ dρ=t−2(I(ρ)+m2log⁡R)<+∞, whence I(ν)=∫ ⁣ ⁣∫kR dν dν−log⁡R<+∞. By [F2] VK=inf⁡σ∈P(K)I(σ)≤I(ν)<+∞, so cap⁡(K)=exp⁡(−VK)>0 by [F2], contradicting cap⁡(K)=0, which holds because K is a compact subset of the capacity-polar set E by [F7].

2.1step 1.3step 1.1F1

Applying step 1.3 to ν:=μ and ν(C)=1 from step 1.1, together with g=VK−Uμ, gives g(z)−log⁡∣z∣=VK−(Uμ(z)+log⁡∣z∣)⟶VK(∣z∣→∞).

2.2step 1.2F9

The function g=VK−Uμ is harmonic on Ω, because the constant VK and Uμ are harmonic there by step 1.2 and [F9].

2.3step 1.1F4

By [F4], Uμ≤VK on all of C; hence g≥0 on Ω, and also Uμ(ξ)≤VK for every ξ∈∂Ω.

2.4step 1.4F2F7

Countable unions of Borel polar sets are polar. Let (Ej)j≥1 be a sequence of Borel capacity-polar sets and let F be compact with F⊆⋃j≥1Ej; if cap⁡(F)>0 then by [F2] there is a Borel probability measure σ on F with I(σ)<+∞ (choose σ with I(σ)<VF+1), while step 1.4 gives σ(Ej)=0 for every j, so σ(⋃j≥1Ej)=0 by countable additivity, contradicting 1=σ(F)≤σ(⋃j≥1Ej); hence cap⁡(F)=0, and ⋃j≥1Ej is capacity-polar in the sense of [F7].

3.1step 2.1step 2.2step 2.3F8

g>0 on Ω. Indeed, if g(z0)=0 for some z0∈Ω, then z0 is an interior minimum point of the harmonic function g on the domain Ω, so g is constant on Ω by [F8]; but step 2.1 gives g(z)=log⁡∣z∣+VK+o(1)→+∞ as ∣z∣→∞ along Ω, a contradiction.

3.2step 1.1step 2.3F1F5F11

Local boundedness. Let ξ∈∂Ω⊆K. By [F1] and steps 1.1 and 2.3, c:=Uμ(ξ) satisfies −∞<c≤VK<+∞; by [F5] the function Uμ=−pμ is lower semicontinuous, so {Uμ>c−1} is an open set containing ξ and there is a real r>0 with Uμ(z)>c−1 for all z∈B(ξ,r). For z∈Ω∩B(ξ,r) we then have g(z)<VK−c+1<+∞ and g(z)≥0 by step 2.3, so the supremum in property 3 of [F11] is finite.

3.3step 2.3F4F5F7F11

Regular points and the quasi-everywhere boundary limit. Let ξ∈∂Ω with Uμ(ξ)=VK. By [F5] Uμ is lower semicontinuous, so lim inf⁡Ω∋z→ξUμ(z)≥VK, while step 2.3 gives lim sup⁡Ω∋z→ξUμ(z)≤VK; hence Uμ(z)→VK and g(z)→0 as Ω∋z→ξ. By [F4] there is a Borel capacity-polar set E⊆K which is a countable union of compact sets of capacity zero with Uμ=VK on K∖E; since ∂Ω⊆K by [F11], every point of ∂Ω∖E is regular, so g has boundary limit 0 outside the set ∂Ω∩E, which is Borel and, being a subset of the capacity-polar set E, capacity-polar by [F7].

4.1step 2.4step 3.2step 3.3F4F7F9F11

The difference of two candidates. Let g~:Ω→R satisfy properties 1-4 of [F11] and put w:=g~−g. Then: (i) w is harmonic on Ω, by property 1 for g~, step 2.2 and [F9]; (ii) w(z)→0 as ∣z∣→∞ with z∈Ω, because property 2 for g~ and step 2.1 give g~(z)−log⁡∣z∣→VK and g(z)−log⁡∣z∣→VK; (iii) for every ξ∈∂Ω there are r>0 and a real M with ∣w(z)∣≤M for all z∈Ω∩B(ξ,r): by property 3 for g~ and step 3.2 choose r with g~≤M1 and g≤M2 on Ω∩B(ξ,r); then w=g~−g≤g~≤M1 using g≥0 from step 2.3, and −w=g−g~≤g≤M2 using g~>0 from property 1, so ∣w∣≤max⁡{M1,M2}; (iv) writing E=⋃j≥1Ej as in step 3.3 and E′ for the exceptional set of property 4 for g~, the set E0:=(∂Ω∩E)∪E′ satisfies E0=⋃j≥1(∂Ω∩Ej)∪E′, a countable union of Borel capacity-polar sets, because each ∂Ω∩Ej is a compact subset of the capacity-polar set Ej (a compact set with cap⁡(Ej)=0) and E′ is Borel capacity-polar; hence E0 is capacity-polar by step 2.4, and w(z)→0 as Ω∋z→ξ for every ξ∈∂Ω∖E0, because then ξ∉E′ gives g~(z)→0 by property 4 and ξ∉∂Ω∩E gives g(z)→0 by step 3.3.

5.1step 4.1F7F14

The bad set. For ξ∈∂Ω put L(ξ):=lim sup⁡Ω∋z→ξ∣w(z)∣∈[0,+∞) and put P:={ξ∈∂Ω:L(ξ)>0}, so that P=⋃m≥1Em with Em:={ξ∈∂Ω:L(ξ)≥1/m}. The function L is upper semicontinuous on ∂Ω: if L(ξ0)<c pick c′ with L(ξ0)<c′<c and r>0 with ∣w(z)∣<c′ for all z∈Ω with 0<∣z−ξ0∣<r; then for ξ∈∂Ω with ∣ξ−ξ0∣<r/2 and z∈Ω with 0<∣z−ξ∣<r/2 one has ∣z−ξ0∣<r, so L(ξ)≤c′<c and {L<c} is relatively open in ∂Ω. Hence each Em, the intersection of the closed set {L≥1/m} with the compact set ∂Ω, is compact by [F14]. Finally Em⊆E0 for the capacity-polar set E0 of step 4.1: if ξ∈∂Ω∖E0 then w→0 at ξ by step 4.1(iv), so L(ξ)=0 and ξ∉Em; hence cap⁡(Em)=0 for every m by [F7].

6.1step 5.1F3F10

Since (Em)m≥1 is a specified sequence of compact sets with cap⁡(Em)=0 and union P, [F10] applies with its Dependent Choice hypothesis supplied by [F3]: if P≠∅ there is a finite positive Borel measure σ carried by P with Uσ(ξ)=+∞ for every ξ∈P; if P=∅ take σ:=0. Put mσ:=σ(C)≥0, so that mσ>0 exactly when P≠∅.

7.1step 1.2step 1.3step 2.1step 2.2step 2.3step 6.1F1F5F9

The barrier. Put ρK:=max⁡{∣ζ∣:ζ∈K} and choose R0>1+ρK; then K⊆{z:∣z∣≤R0} and Sσ:=supp⁡σ⊆P‾⊆∂Ω⊆K is compact with ∣ζ∣≤ρK for ζ∈Sσ. The function V:=Uσ+mσg is bounded below on Ω and finite at every point of Ω (where z∉Sσ): for z∈Ω with ∣z∣≤R0 and ζ∈Sσ one has ∣z−ζ∣≤R0+ρK, so by [F1] Uσ(z)≥−mσlog⁡(R0+ρK), while mσg≥0 by step 2.3; and for ∣z∣≥R0 step 1.3 applied to σ (trivially when σ=0), together with g(z)−log⁡∣z∣→VK from step 2.1 multiplied by mσ, gives V(z)=mσVK+o(1)≥mσVK−1 for all sufficiently large ∣z∣. Put c:=1−inf⁡ΩV∈R and Q:=Uσ+mσg+c=V+c ≥1on Ω. Then Q is harmonic on Ω by steps 1.2 and 2.2 and [F9]; Q(z)→mσVK+c≥1 as ∣z∣→∞ by steps 1.3 and 2.1; and for every ξ∈P one has lim inf⁡Ω∋z→ξQ(z)=+∞, because Uσ is lower semicontinuous by [F5] with Uσ(ξ)=+∞ and mσg+c≥c is bounded below.

8.1step 4.1step 7.1F9algebra

Nonpositive boundary behaviour. Let A>0 and put wA:=w−AQ, harmonic on Ω by steps 4.1 and 7.1 and [F9]. Then: (a) for ξ∈P, lim sup⁡Ω∋z→ξwA(z)≤lim sup⁡w+lim sup⁡(−AQ)=−∞, because lim sup⁡(−AQ)=−Alim inf⁡Q=−∞ by step 7.1 and lim sup⁡w is finite by step 4.1(iii); (b) for ξ∈∂Ω∖P, lim sup⁡Ω∋z→ξwA(z)≤lim sup⁡w+lim sup⁡(−AQ)≤0−A⋅1<0, because L(ξ)=0 forces w→0 at ξ and Q≥1 by step 7.1; (c) as ∣z∣→∞ with z∈Ω, lim sup⁡wA≤0−A(mσVK+c)<0, because w→0 by step 4.1(ii) and Q→mσVK+c≥1 by step 7.1.

9.1step 8.1F8F9F11F13F14

Maximum principle. Fix A>0 and choose R>R0 large enough that wA(z)<0 whenever z∈Ω and ∣z∣≥R, possible by step 8.1(c) and the fact that Ω is unbounded so Ω∩{z:∣z∣>R}≠∅. By step 8.1 and compactness of ∂Ω, finitely many boundary neighborhoods cover ∂Ω on which wA≤1; the set (Ω‾∩B‾(0,R)) outside their union is compact and lies in Ω, so continuity bounds wA there. Together with the negative tail this proves s:=sup⁡ΩwA<+∞. Since Ω is nonempty and wA is real-valued, s∈R. Assume for contradiction that s>0. For each ζ∈∂Ω step 8.1 gives lim sup⁡Ω∋z→ζwA(z)≤0<s/2, so there is rζ>0 with wA≤s/2 on Ω∩B(ζ,rζ); since ∂Ω is compact by [F11], finitely many of these balls cover ∂Ω, and their union W is an open neighbourhood of ∂Ω with wA≤s/2 on Ω∩W. The set S:=(Ω∩{z:∣z∣≤R})∖W equals (Ω‾∩{z:∣z∣≤R})∖W, is closed and bounded, hence compact by [F14], and satisfies S⊆Ω because W⊇∂Ω and every point of Ω‾∖∂Ω lies in Ω by [F13]. Every point of Ω∖S lies in Ω∩W or satisfies ∣z∣≥R, and at such points wA≤s/2<s; hence sup⁡SwA=s, and the continuous function wA attains the value s at some x∗∈S⊆Ω by [F14]. Since wA is harmonic, hence subharmonic, on the domain Ω by [F9], [F8] forces wA to be constant on Ω, contradicting wA(z)<0 for ∣z∣≥R; therefore sup⁡ΩwA≤0, that is wA≤0 on Ω.

10.1step 2.1step 2.2step 3.1step 3.2step 3.3step 4.1step 5.1step 6.1step 7.1step 8.1step 9.1

Uniqueness. Step 9.1 gives w≤AQ on Ω for every A>0, hence w≤0 on Ω; the same argument with the roles of g and g~ interchanged gives −w≤0 on Ω, because g satisfies properties 1-4 of [F11] by steps 2.1, 2.2, 3.1, 3.2 and 3.3 (with the Borel capacity-polar exceptional set ∂Ω∩E of step 3.3), while g~ satisfies them by hypothesis, so steps 4.1, 5.1, 6.1, 7.1, 8.1 and 9.1 apply verbatim to w′=−w with the same set E0 and the same barrier Q. Hence w=0 and g~=g on Ω: a Green function with pole at infinity is unique, and it equals VK−UμK.

11.1step 2.1step 2.2step 3.1step 3.2step 3.3step 10.1F4F7F11∎

Assembly. Step 3.1 gives positivity and step 2.2 harmonicity, so g has property 1 of [F11]; step 2.1 gives property 2; step 3.2 gives property 3; step 3.3 gives property 4, with exceptional set ∂Ω∩E that is Borel (intersection of the compact set ∂Ω with the Borel set E of [F4]) and capacity-polar as a subset of E by [F7]. Step 10.1 shows that every g~ with properties 1-4 equals g, so the notation gΩ(⋅,∞) of [F11] is licensed with gΩ(z,∞)=VK−UμK(z) on Ω. Assertions 1-5 of the Statement are exactly these conclusions.

Remarks

The meaning of "regular". The word is used in the potential-theoretic sense of Saff, Definition 3.3: ξ∈∂Ω is regular for Ω exactly when UμK(ξ)=VK. This is not the barrier/Perron notion of regularity of Barriers and regular boundary points, which is stated for bounded domains; the classical identification of the two notions for exterior domains is not used or claimed here. What is proved is the implication from UμK(ξ)=VK to the boundary limit 0, together with the statement that the remaining points of ∂Ω are capacity-polar. No value is asserted at the irregular points, and in particular no claim is made that the Dirichlet problem for Ω is solvable there.

Where the boundary regularity of g comes from. The two ingredients are the global inequality UμK≤VK of Frostman's theorem, which bounds the potential from above everywhere, and lower semicontinuity, which bounds it from below at every point. Their combination is what makes g continuous at every point where the upper and lower bounds meet, and it is also what makes the potential of the Evans measure a barrier at the exceptional set in the uniqueness proof.

Why the barrier is needed for uniqueness. Local boundedness of a candidate near ∂Ω alone does not let the maximum principle act directly on Ω: the difference of two candidates is in general only bounded, not continuous, at an irregular boundary point, where both candidates may fail to have the limit 0. The Evans measure of step 6.1 produces a harmonic function Q≥1 whose limit is +∞ at every boundary point where the difference fails to tend to 0. Its limit may also be +∞ at other boundary points: there the difference tends to 0 and Q≥1 suffices for step 8.1(b). The logarithmic growth of Uσ is cancelled by mσg, so Q has a finite limit at infinity; the maximum principle can then be applied to w−AQ for every A>0. The subtle point in step 4.1(iv) is that the union of the two exceptional sets need not be presented as a union of compact sets: it is shown to be capacity-polar through the annihilation lemma of step 1.4 and the countable-union closure of step 2.4, which is what licenses feeding the compact cluster sets Em of step 5.1 to the Evans construction.

Choice. The Axiom of Choice enters through the equilibrium measure and Frostman's theorem; it yields Dependent Choice for the Evans-measure supplier of [F10] and Countable Choice for the distributional-Riesz supplier [F5] and the inner-regularity fact [F15]. The harmonicity, far-field and barrier computations are choice-free.

DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-10-02Open item page →

Fekete points and the transfinite diameter of a compact set

Definition

Let K⊆C be compact and nonempty, let n≥2 be an integer, and write Kn for the n-fold product with the product topology. For z=(z1,…,zn)∈Kn set

Δn(z):=∏1≤i<j≤n(zi−zj),Dn(z):=∣Δn(z)∣=∏1≤i<j≤n∣zi−zj∣∈[0,∞).

The formula for Δn is the Vandermonde product, whose polynomial form in n indeterminates is The Vandermonde polynomial Δn=∏i<j(xi−xj); only the numerical function Dn on Kn is used here. Each factor (z1,…,zn)↦zi−zj is continuous: the projections are continuous for the product topology (A map into a product is continuous iff each of its components is; the projections are continuous and open; and each projection is surjective when every factor is nonempty, which for an infinite index set uses the Axiom of Choice, The product set ∏i∈IXi of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space), and complex subtraction is continuous since ∣(z−w)−(z0−w0)∣≤∣z−z0∣+∣w−w0∣ (Conjugation is an involutive real-field automorphism, zz‾=∣z∣2, and modulus is definite, multiplicative, and subadditive). Finite products and the modulus preserve continuity (Sums, products, absolute values, finite maxima and minima, and quotients of continuous real-valued maps on a topological space are continuous where defined, Conjugation is an involutive real-field automorphism, zz‾=∣z∣2, and modulus is definite, multiplicative, and subadditive); the product Kn of finitely many compact spaces is compact (A product of finitely many compact spaces is compact in the product topology), and Kn≠∅. Hence Dn and the composition

(z1,…,zn)⟼Dn(z)2/[n(n−1)]

attain greatest values on Kn (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value). The n-th Fekete diameter of K is

δn(K):=max⁡(z1,…,zn)∈KnDn(z1,…,zn)2/[n(n−1)]∈[0,∞),

equivalently δn(K)=(max⁡KnDn)2/[n(n−1)], because t↦t2/[n(n−1)] is increasing on [0,∞) and the root is the nonnegative one (Existence and uniqueness of n-th roots: a unique a1/n≥0 with (a1/n)n=a). The exponent 2/[n(n−1)]=1/(n2) is the reciprocal of the number of unordered pairs, so that δn scales like a length. A tuple z∈Kn at which the maximum is attained is an n-point Fekete tuple of K, and its entries z1,…,zn are n-point Fekete points.

To a Fekete tuple z one associates its monic Fekete polynomial

Fn(Z):=∏j=1n(Z−zj),

a monic polynomial of degree n in the conventions of Formal complex polynomials, evaluation, degree, leading coefficient, and monic polynomials: each factor Z−zj is monic of degree 1, and degrees add and leading coefficients multiply under multiplication over the integral domain C (Over an integral domain, degrees add under multiplication of nonzero polynomials), by induction on n.

The transfinite diameter of K is

τ(K):=inf⁡n≥2δn(K)∈[0,∞),

an infimum over a nonempty set of nonnegative reals, hence a well-defined real number (Every nonempty set bounded below has an infimum, Greatest lower bound (infimum)). For the empty set one uses the separate convention τ(∅):=0. Whether the sequence (δn(K))n≥2 is nonincreasing, and whether τ(K) is its limit, is not assumed in the definition.

Remarks

Fekete tuples exist but are not unique. The maximum is attained by A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value, so every nonempty compact K has at least one n-point Fekete tuple for every n≥2; no uniqueness is claimed, and no tuple is selected by the definition. The quantity Dn is unchanged by permuting the entries, since a permutation permutes the factors ∣zi−zj∣, so every permutation of a Fekete tuple is again one, and δn(K) is order-independent.

Sign and positivity. Dn≥0 always, and δn(K)>0 holds exactly when K has at least n points: with n distinct points of K the product is positive, while a tuple with two equal entries has Dn=0. In particular δ2(K) is the diameter of K, the exponent 2/[2⋅1]=1 recovering the unnormalized maximum of ∣z1−z2∣.

Scaling. If t∈C∖{0} and tK={tz:z∈K}, then Dn(tz1,…,tzn)=∣t∣(n2)Dn(z1,…,zn) and δn(tK)=∣t∣ δn(K): the normalization by the number of pairs is exactly what makes the n-th Fekete diameter a length. Consequently τ(tK)=∣t∣ τ(K) as well.

Relation to the logarithmic capacity. The transfinite diameter is a purely combinatorial size functional, defined from extremal configurations of points, whereas the logarithmic capacity of Robin constant and logarithmic capacity of a compact set is defined variationally from a minimum-energy problem over probability measures. The definition here asserts no relation between the two; any comparison is proved later.

Choice. No choice principle is used: the extremal tuple is supplied by the extreme-value theorem for a continuous function on a nonempty compact space, the product of finitely many compact spaces is compact in ZF, and the infimum over n≥2 is a set-theoretic construction on a fixed set of reals.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-10-02Open item page →

Monotonicity of the Fekete diameters and the transfinite diameter

Statement

Let K⊆C be nonempty and compact, with the Fekete diameters δn(K) and transfinite diameter τ(K) of Fekete points and the transfinite diameter of a compact set. Then

δn+1(K)≤δn(K)(n≥2),

the sequence (δn(K))n≥2 therefore converges, and

τ(K)=inf⁡n≥2δn(K)=lim⁡n→∞δn(K).

No choice principle is used.

Facts & Assumptions

Given: a nonempty compact K⊆C and the quantities Dn, Δn, δn(K), τ(K) and Fekete tuples of Fekete points and the transfinite diameter of a compact set.

[F1]

For n≥2 and z=(z1,…,zn)∈Kn one has Δn(z)=∏i<j(zi−zj) and Dn(z)=∣Δn(z)∣=∏i<j∣zi−zj∣∈[0,∞); the maximum of Dn over the nonempty compact Kn is attained and δn(K)=(max⁡KnDn)2/[n(n−1)]∈[0,∞); and τ(K)=inf⁡n≥2δn(K) (Fekete points and the transfinite diameter of a compact set). In particular Dn(z)≤δn(K)(n2) for every z∈Kn, because t↦t2/[n(n−1)] is increasing on [0,∞) and 1/[n(n−1)]⋅2=2/[n(n−1)] is the reciprocal of (n2)=n(n−1)2.

[F2]

∣zw∣=∣z∣ ∣w∣ and ∣z∣≥0 for all z,w∈C, and ∣z∣=0 exactly for z=0 (Conjugation is an involutive real-field automorphism, zz‾=∣z∣2, and modulus is definite, multiplicative, and subadditive).

[F3]

Every a≥0 has a unique n-th root a1/n≥0, the map t↦tn is strictly increasing on [0,∞) for n≥1, and for x,y≥0 one has x1/n≤y1/n exactly when x≤y (Existence and uniqueness of n-th roots: a unique a1/n≥0 with (a1/n)n=a, Monotonicity of x↦xn and of n↦an).

[F4]

A monotone sequence of reals converges if and only if it is bounded (A monotone sequence converges if and only if it is bounded).

[F5]

If a sequence of reals converges to L and xk≤c for all k, then L≤c; if xk≥c for all k, then L≥c (Limits preserve non-strict inequalities).

[F6]

If S⊆R is nonempty and bounded below, then inf⁡S is a lower bound of S and no larger lower bound exists; in particular a lower bound ℓ of S equals inf⁡S when every lower bound is ≤ℓ (Greatest lower bound (infimum), Every nonempty set bounded below has an infimum).

Proof

technique · direct
1.1F1given

Fix n≥2 and a tuple z=(z1,…,zn+1)∈Kn+1. For k∈{1,…,n+1} let Ak be the n-tuple obtained by deleting the k-th entry of z. Each Ak lies in Kn, so by [F1] Dn(Ak) is at most δn(K)(n2); that is, Dn(Ak)≤δn(K)n(n−1)/2.

2.1step 1.1F1F2

Expanding the factors by [F1] and [F2] gives ∏k=1n+1Dn(Ak)=∏k=1n+1∏i<j, i,j≠k∣zi−zj∣; the unordered pair {i,j} contributes the factor ∣zi−zj∣ for exactly those k∉{i,j}, that is for n−1 of the n+1 indices k, so the last product equals ∏i<j∣zi−zj∣ n−1=Dn+1(z)n−1, the last equality again by [F1] and [F2].

3.1step 2.1F1F3algebra

Multiplying the n+1 inequalities of step 1.1 and substituting step 2.1 yields Dn+1(z)n−1≤δn(K)(n+1)n(n−1)/2 for every z∈Kn+1. Taking the maximum over z∈Kn+1 and using that t↦tn−1 is increasing on [0,∞) together with [F3] gives δn+1(K)(n+1)n(n−1)/2≤δn(K)(n+1)n(n−1)/2, since (n+12)(n−1)=(n+1)n(n−1)2 is the exponent obtained from Dn+1(z)≤δn+1(K)(n+12). The common exponent E:=(n+1)n(n−1)2 is a positive integer (as n≥2), so [F3] applied to the two nonnegative numbers δn+1(K) and δn(K) gives δn+1(K)≤δn(K).

4.1step 3.1F1F4F5F6

The sequence (δn(K))n≥2 is nonincreasing by step 3.1 and bounded below by 0 because δn(K)≥0 by [F1]; hence it converges, with limit L∈R, by [F4]. Since δm(K)≤δn(K) for all m≥n≥2, [F5] applied to the tail from n gives L=lim⁡mδm(K)≤δn(K) for every n≥2, so L is a lower bound of {δn(K):n≥2}; and if ℓ is any lower bound of that set, then δn(K)≥ℓ for every n and [F5] gives L≥ℓ. Thus L is the greatest lower bound and L=inf⁡n≥2δn(K)=τ(K) by [F6] and [F1].

5.1step 3.1step 4.1∎

Combining steps 3.1 and 4.1, δn+1(K)≤δn(K) for every n≥2 and τ(K)=lim⁡n→∞δn(K), which is the statement.

Remarks

Where the normalization enters. The exponent 2/[n(n−1)] in the definition of δn is exactly what makes the exponents on the two sides of step 3.1 agree: the pair-count (n+12)(n−1) of the (n+1)-tuple side equals the pair-count (n2)(n+1) of the n-tuple side, both equal to (n+1)n(n−1)2.

Choice. The argument uses only real algebra and order-completeness facts; no choice principle is involved, and the extremal tuples are maxima of continuous functions on compact product spaces supplied by Fekete points and the transfinite diameter of a compact set.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-10-02Open item page →

Fekete–Szegő equality of logarithmic capacity, transfinite diameter, and Chebyshev constant

Statement

Assume the Axiom of Choice (The Axiom of Choice). Let K⊆C be compact, with the Fekete diameters δn(K) and transfinite diameter τ(K) of Fekete points and the transfinite diameter of a compact set, the extremal norms tn(K) and Chebyshev constant cheb⁡(K) of Chebyshev constant of a compact planar set, and the Robin constant VK and logarithmic capacity cap⁡(K) of Robin constant and logarithmic capacity of a compact set. Then

cap⁡(K)=τ(K)=cheb⁡(K).

If K is infinite, then for every sequence (z(n))n≥2 of n-point Fekete tuples of K, with associated monic Fekete polynomials Fn(Z)=∏j=1n(Z−zj(n)),

lim⁡n→∞∥Fn∥K1/n=cheb⁡(K)=cap⁡(K).

If cap⁡(K)>0, then the empirical probability measures νn=1n∑j=1nδzj(n) formed from any such sequence of Fekete tuples converge weakly to the unique equilibrium measure μK of K (Weak convergence of borel probability measures, Existence and uniqueness of the equilibrium measure); moreover, for every nonempty compact L⊆C∖K,

sup⁡z∈L∣∣Fn(z)∣1/n−exp⁡(−UμK(z))∣⟶0(n→∞),

where UμK is the logarithmic potential of Logarithmic potential and energy of a positive compactly supported measure. Uniform convergence on the empty compact set is vacuous; the displayed supremum is asserted only for nonempty L.

The Axiom of Choice is used through Countable Choice for selecting one Fekete tuple for each n, through the weak sequential compactness of probability laws on the compact set K, and through the equilibrium theory invoked by Monic polynomial lower bounds for the Chebyshev constant and capacity and Existence and uniqueness of the equilibrium measure; the estimate of the truncated kernel and the Fekete–Chebyshev comparison are otherwise choice-free.

Facts & Assumptions

[F1]

For nonempty compact K and n≥2 the map Dn(z1,…,zn)=∏1≤i<j≤n∣zi−zj∣ attains its maximum on the nonempty compact Kn, the n-th Fekete diameter is δn(K)=(max⁡KnDn)2/[n(n−1)]∈[0,∞), tuples attaining the maximum are the Fekete tuples, the associated polynomial Fn(Z)=∏j=1n(Z−zj) is monic of degree n (Formal complex polynomials, evaluation, degree, leading coefficient, and monic polynomials), and τ(K)=inf⁡n≥2δn(K)∈[0,∞) with the convention τ(∅)=0 (Fekete points and the transfinite diameter of a compact set).

[F2]

For nonempty compact K one has δn+1(K)≤δn(K) for every n≥2, and the sequence converges with τ(K)=lim⁡n→∞δn(K) (Monotonicity of the Fekete diameters and the transfinite diameter).

[F3]

For nonempty compact K one has ∥p∥K=sup⁡z∈K∣p(z)∣∈[0,∞) for every polynomial p, each tn(K)=inf⁡{∥p∥K:p monic of degree n} is a real number with 0≤tn(K)<∞, and cheb⁡(K)=inf⁡n≥1tn(K)1/n∈[0,∞) with the convention cheb⁡(∅)=0 (Chebyshev constant of a compact planar set).

[F4]

For finite positive Borel measures of compact support the kernel is k(z,w)=log⁡1∣z−w∣ with diagonal value k(w,w)=+∞, Uμ(z)=∫k(z,w) dμ(w)∈(−∞,+∞] and, for R>diam⁡(supp⁡μ) and kR:=k+log⁡R≥0 on supp⁡μ×supp⁡μ, the logarithmic energy is I(μ)=∬kR dμ dμ−μ(C)2log⁡R∈(−∞,+∞], independent of the admissible R; the mixed energy I(μ,ν)=∬kR dμ dν−μ(C)ν(C)log⁡R is symmetric (Logarithmic potential and energy of a positive compactly supported measure).

[F5]

For nonempty compact K the Robin constant is VK=inf⁡μ∈P(K)I(μ)∈(−∞,+∞], where P(K) is the set of Borel probability measures on K, and cap⁡(K)=e−VK if VK<+∞ and cap⁡(K)=0 if VK=+∞, so cap⁡(K)>0 is equivalent to VK<+∞; the convention is cap⁡(∅)=0 (Robin constant and logarithmic capacity of a compact set).

[F6]

Assume the Axiom of Choice. For nonempty compact K and every monic complex polynomial p of degree n≥1 one has ∥p∥K≥cap⁡(K)n, and consequently cap⁡(K)≤cheb⁡(K) (Monic polynomial lower bounds for the Chebyshev constant and capacity).

[F7]

The Dirac set function δa is a Borel probability measure (The Dirac set function at a point, A Dirac set function is a probability measure), and finite nonnegative weighted sums of measures are measures with (∑jcjμj)(E)=∑jcjμj(E) for every measurable E (Nonnegative scalar multiples and countable weighted sums of measures, Nonnegative scalar multiples and countable weighted sums of measures are measures).

[F8]

For Borel probability measures on a metric space, νn⇒ν means ∫f dνn→∫f dν for every bounded continuous real function f (Weak convergence of borel probability measures).

[F9]

Assume the Axiom of Choice. Every sequence of Borel probability laws on a compact metric space has a subsequence converging weakly to a Borel probability on that space (Probability laws on a compact metric space have weakly convergent subsequences).

[F10]

Assume the Axiom of Choice. Every nonempty compact K with cap⁡(K)>0 has exactly one equilibrium measure μK∈P(K), and it satisfies I(μK)=VK=inf⁡P(K)I<+∞ (Existence and uniqueness of the equilibrium measure).

[F11]

A unital point-separating subalgebra of C(K,R) on a nonempty compact metric space K is uniformly dense (Real Stone--Weierstrass theorem for compact metric spaces).

[F12]

For a Borel probability measure ν on K and bounded Borel functions f,h on K, the iterated integral factorizes: ∬f(z)h(w) dν(z) dν(w)=(∫f dν)(∫h dν); this is Tonelli's identity for the product measure ν⊗dν (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, The product measure of two sigma-finite measure spaces) together with the Fubini theorem for the bounded integrand (Fubini's theorem for L^1 functions on a sigma-finite product).

[F13]

If 0≤fM↑f pointwise with the fM measurable, then ∫fM dμ↑∫f dμ (Monotone convergence for the integral).

[F14]

Every a≥0 has a unique nonnegative n-th root a1/n, and for x,y≥0 one has (xy)1/n=x1/ny1/n and x≤y implies x1/n≤y1/n: x1/ny1/n and y1/n are nonnegative with n-th powers xy and y, and t↦tn is injective on {t≥0} (Existence and uniqueness of n-th roots: a unique a1/n≥0 with (a1/n)n=a, Monotonicity of x↦xn and of n↦an).

[F15]

Sums, products and quotients of convergent real sequences converge to the corresponding combination (Algebra of limits: sums, scalar multiples, products and quotients); if xk≤yk for all sufficiently large k then lim sup⁡kxk≤lim sup⁡kyk (If xk≤yk eventually then lim sup⁡xk≤lim sup⁡yk and lim inf⁡xk≤lim inf⁡yk).

[F16]

The Axiom of Choice implies Dependent Choice, which implies Countable Choice (AC implies DC implies countable choice, The Axiom of Countable Choice (ACω)).

[F17]

A continuous real function on a nonempty compact metric space attains its maximum and its minimum (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value); every open cover of a compact metric space has a finite subcover (Open cover, subcover, compact metric space, and compact subset of a metric space); a finite product of nonempty compact spaces is compact (A product of finitely many compact spaces is compact in the product topology).

[F18]

A continuous map from a compact metric space to a metric space is uniformly continuous (Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous).

[F19]

The modulus is multiplicative, ∣zw∣=∣z∣∣w∣, subadditive, ∣z+w∣≤∣z∣+∣w∣, and definite on C (Conjugation is an involutive real-field automorphism, zz‾=∣z∣2, and modulus is definite, multiplicative, and subadditive); the natural logarithm satisfies log⁡(xy)=log⁡x+log⁡y and log⁡(exp⁡u)=u (Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm) and is continuous on (0,∞) because it is differentiable there with log⁡′=1/x (The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, A function differentiable at c is continuous at c, f is continuous at c∈A if and only if f(xk)→f(c) for every sequence in A converging to c, the converse direction costing countable choice); the real exponential is continuous, exp⁡:R→(0,∞) is a bijection with inverse log⁡, and au=exp⁡(ulog⁡a) for a>0 (The sum of a real power series is continuous at every point strictly inside its interval of convergence, The real exponential function and the number e by a power series, The exponential is a continuous bijection from R onto (0,∞), The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents); sums, products, reciprocals of nonvanishing continuous functions and composites of continuous functions are continuous (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function, A composite of continuous functions is continuous, with no side hypothesis of the kind the composition of limits needs).

[F20]

Every nonnegative measurable function is the increasing pointwise limit of a sequence of nonnegative simple measurable functions (Every nonnegative measurable function is the increasing limit of simple measurable functions).

[F21]

For a nonnegative simple measurable function s=∑kckχEk in pairwise disjoint representation and a measure μ, the simple integral is ∫s dμ=∑kckμ(Ek) and coincides with the nonnegative Lebesgue integral of s (The integral of a nonnegative simple function, The nonnegative integral agrees with the simple integral on simple functions); the nonnegative Lebesgue integral of a measurable h≥0 is the supremum of the integrals of its nonnegative simple minorants and is monotone in h (The nonnegative Lebesgue integral, Monotonicity and nonnegative homogeneity of the nonnegative integral); positive and negative parts of a measurable real function are measurable, and a real or complex measurable function is integrable exactly when its modulus has finite integral, its integral being computed from positive and negative parts, and then from real and imaginary parts (Closure properties of measurable functions used by the integral, Integrable real and complex functions, and their integrals).

[F22]

A continuous real function on a metric space is Borel measurable, and for a Borel probability μ and a bounded continuous real f one has ∫∣f∣ dμ≤∥f∥∞μ(X)<∞ (Weak convergence of borel probability measures); a map into a product of topological spaces is continuous exactly when its components are (A map into a product is continuous iff each of its components is; the projections are continuous and open; and each projection is surjective when every factor is nonempty, which for an infinite index set uses the Axiom of Choice), so the insertion maps w↦(a,w) and z↦(z,b) and their composites with continuous functions are continuous, as are finite sums, products, moduli, maxima and minima of continuous real functions (Sums, products, absolute values, finite maxima and minima, and quotients of continuous real-valued maps on a topological space are continuous where defined); in particular every slice of a continuous g on K×K, and every finite sum of such slices, is continuous.

Proof

technique · direct
1.1givenF1F3F5

Let K⊆C be compact and assume the Axiom of Choice. If K=∅, then cap⁡(K)=τ(K)=cheb⁡(K)=0 by their empty-set conventions [F1, F3, F5], so the capacity equality holds; the norm and Fekete-sequence assertions require K infinite or cap⁡(K)>0, respectively. For the remaining proof assume K≠∅, so that tn(K) and VK are defined as well as δn(K), τ(K), cheb⁡(K) and cap⁡(K).

1.2F1F3F16choose

For every n≥2 the set of n-point Fekete tuples of K is nonempty by [F1]; the Axiom of Choice yields Countable Choice by [F16], so select a sequence (z(n))n≥2 with z(n)=(z1(n),…,zn(n)) an n-point Fekete tuple of K, and write Fn(Z)=∏j=1n(Z−zj(n)), a monic polynomial of degree n by [F1], with ∥Fn∥K=max⁡z∈K∣Fn(z)∣∈[0,∞) by [F3].

1.3givenF7F13F15F17F20F21F22

For every nonempty compact metric space X, points z1,…,zn∈X and continuous f:X→R, the finite weighted sum ν:=1n∑j=1nδzj is a Borel probability measure on X by [F7] and satisfies ∫f dν=1n∑j=1nf(zj); consequently, for every continuous g:K×K→R, the iterated integral against νn:=1n∑j=1nδzj(n) evaluates as ∬g dνn dνn=1n2∑i=1n∑j=1ng(zi(n),zj(n)). Indeed, for every nonnegative measurable h on X one has ∫h dν=1n∑j=1nh(zj): for a nonnegative simple measurable s=∑kckχEk in pairwise disjoint representation, the defining formula ν(E)=1n∑jδzj(E) of [F7] and the simple integral of [F21] give ∫s dν=∑kckν(Ek)=1n∑j∑kckχEk(zj)=1n∑js(zj), and for general h≥0 the increasing simple approximations sm↑h of [F20] together with [F13] and [F15] give ∫h dν=lim⁡m∫sm dν=lim⁡m1n∑jsm(zj)=1n∑jh(zj); a continuous real f is bounded by [F17] and Borel measurable by [F22], so ∫∣f∣ dν≤∥f∥∞ν(X)=∥f∥∞<+∞ by [F22] and f is ν-integrable by [F21]; its positive and negative parts are nonnegative bounded Borel by [F21], so ∫f dν=∫f+ dν−∫f− dν=1n∑jf+(zj)−1n∑jf−(zj)=1n∑jf(zj); finally the slices w↦g(zi(n),w) and z↦g(z,zj(n)) of the continuous g, and the finite sum z↦1n∑j=1ng(z,zj(n)), are continuous by [F22], so this formula applied on the compact metric space K to the continuous functions w↦g(zi(n),w) and z↦1n∑j=1ng(z,zj(n)) gives ∫g(zi(n),w) dνn(w)=1n∑jg(zi(n),zj(n)) for each i and hence ∬g dνn dνn=1n∑i1n∑jg(zi(n),zj(n)).

1.4F1F3algebra

If K is finite, say K={a1,…,am} with m≥1, then for every n≥m the polynomial Gn(Z):=Zn−m∏k=1m(Z−ak) is monic of degree n and vanishes on K, so tn(K)=0 by [F3]; the infimum defining cheb⁡(K) is therefore 0, and cheb⁡(K)=0≤τ(K) because τ(K)≥0 by [F1].

1.5F1givenalgebra

Assume for the rest of this phase that K is infinite, and fix n≥2. Then δn(K)>0: since K contains n distinct points, the tuple of those points has Dn>0, so the maximum in [F1] is positive.

1.6F1F19algebra

For every z∈K the (n+1)-tuple (z,z1(n),…,zn(n)) satisfies Dn+1(z,z1(n),…,zn(n))=∣Fn(z)∣ Dn(z1(n),…,zn(n)), because the pairs not involving z reproduce the Vandermonde product of z(n) and the pairs involving z reproduce ∣Fn(z)∣=∏j∣z−zj(n)∣ by the multiplicativity in [F19]; equivalently Dn+1(z,z(n))=∣Fn(z)∣ δn(K)(n2) by [F1].

1.7F1F3F15algebra

Since Fn is monic of degree n, [F1] and [F3] give tn(K)≤∥Fn∥K and cheb⁡(K)≤tn(K)1/n≤∥Fn∥K1/n for every n≥2; hence cheb⁡(K)≤lim inf⁡n∥Fn∥K1/n by [F15].

1.8F3F5F6

If K=∅ then cap⁡(K)=0=cheb⁡(K) by the conventions of [F3] and [F5]; if K≠∅, [F6] gives cap⁡(K)≤cheb⁡(K). Thus cap⁡(K)≤cheb⁡(K) for every compact K.

1.9F11F17algebra

The finite sums ∑ifi(z)hi(w) of continuous real functions on K form a unital subalgebra of C(K×K,R) that separates points, so they are uniformly dense in C(K×K,R) by [F11], since K×K is a nonempty compact metric space by [F17].

1.10F4F19algebra

Fix R>diam⁡K and M>0 and put gM:=min⁡(M,kR) on K×K. By [F4] the function kR=k+log⁡R is nonnegative on K×K with diagonal value +∞, so gM is continuous, 0≤gM≤M, gM≤kR, and gM(z,z)=M for every z∈K.

1.11F17F18F19algebra

Let L⊆C∖K be nonempty and compact. The kernel k is continuous on L×K and uniformly continuous there. Indeed (z,w)↦∣z−w∣ is continuous and never vanishes on L×K, because L∩K=∅, so by [F17] its modulus attains a minimum m>0 on the nonempty compact set L×K; the functions ∣z−w∣↦1∣z−w∣ and t↦log⁡t are continuous on their domains and composition preserves continuity by [F19], so k=−log⁡∣z−w∣ is continuous on L×K; uniform continuity follows from [F18].

2.1step 1.6F1F2F14algebra

The tuple (z,z(n)) lies in Kn+1, so [F1] bounds its Dn+1 by δn+1(K)(n+12); dividing step 1.6 by δn(K)(n2)>0 (step 1.5) and taking the supremum over z∈K gives ∥Fn∥K≤δn+1(K)(n+12)δn(K)−(n2); taking nonnegative n-th roots by [F14] and using δn+1(K)≤δn(K) from [F2] gives ∥Fn∥K1/n≤(δn+1(K)/δn(K))n/2δn+1(K)δn(K)≤δn(K).

2.2step 1.2F1F4F19algebra

Assume τ(K)>0 for this phase. Then δn(K)≥τ(K)>0 for every n≥2 by [F1], so no Fekete tuple of step 1.2 has a repeated entry and the sum En:=∑i<jk(zi(n),zj(n))=(n2)log⁡1δn(K) is finite by [F4]; moreover log⁡1δn(K)→log⁡1τ(K), since δn(K)→τ(K)>0 and t↦log⁡1t is continuous on (0,∞) by [F19].

2.3step 1.2F7F8F9choose

Put νn:=1n∑j=1nδzj(n)∈P(K) for n≥2; these are Borel probability measures on K by [F7], so by [F9], whose Axiom of Choice hypothesis is part of the Given, there are a strictly increasing sequence nk and a measure ν^∈P(K) with νnk⇒ν^.

3.1step 2.1F2F15

Since δn(K)→τ(K) by [F2], step 2.1 and [F15] give lim sup⁡n→∞∥Fn∥K1/n≤τ(K).

3.2step 2.3step 1.9F8F12algebra

For a finite sum h=∑ifihi and every Borel probability ν on K, [F12] factorizes the iterated integral, ∬h dν dν=∑i(∫fi dν)(∫hi dν); applying this to ν=νnk and to ν=ν^ and using the weak convergence of step 2.3 gives ∬h dνnkdνnk→∬h dν^ dν^.

3.3step 1.3step 2.2step 1.10F4algebra

For every n≥2, step 1.3 with g=gM applied to the Fekete tuple z(n), the diagonal values gM(zi(n),zi(n))=M of step 1.10, the bound gM≤kR off the diagonal and the Fekete identity ∑i<jkR(zi(n),zj(n))=(n2)(log⁡1δn(K)+log⁡R) of step 2.2 give ∬gM dνn dνn≤1n2(2(n2)log⁡1δn(K)+2(n2)log⁡R+nM)=n−1n(log⁡1δn(K)+log⁡R)+Mn.

3.4step 1.3step 2.3F4F19algebra

Assume cap⁡(K)>0 and let L⊆C∖K be nonempty and compact. For z∉K and n≥2 one has ∣Fn(z)∣=∏j∣z−zj(n)∣>0 by [F19], so the potential of νn from step 2.3 is Uνn(z)=1n∑jlog⁡1∣z−zj(n)∣=1nlog⁡1∣Fn(z)∣ by [F4], step 1.3 and the product law for the logarithm in [F19]; hence ∣Fn(z)∣1/n=exp⁡(−Uνn(z)) by the identity a1/n=exp⁡(1nlog⁡a) and the inverse relation between exp⁡ and log⁡ recorded in [F19].

4.1step 1.4step 3.1step 1.7

Steps 3.1 and 1.7 give cheb⁡(K)≤τ(K) for infinite K; with step 1.4 this inequality holds for every compact K.

4.2step 3.2F8algebra

Hence for every bounded continuous g on K×K one has ∬g dνnkdνnk→∬g dν^ dν^: given ε>0, step 1.9 supplies a finite sum h with ∣g−h∣≤ε on K×K, step 3.2 gives convergence of the h integrals, and the triangle inequality bounds the difference of the g integrals by 2ε+∣∬h dνnkdνnk−∬h dν^ dν^∣.

5.1step 2.2step 4.2step 3.3F15algebra

Letting k→∞ in steps 4.2 and 3.3 and using step 2.2 gives ∬gM dν^ dν^≤log⁡1τ(K)+log⁡R.

6.1step 5.1F4F13algebra

As M→∞ one has gM↑kR pointwise, so [F13] applied to the nonnegative functions gM gives ∬kR dν^ dν^=lim⁡M→∞∬gM dν^ dν^≤log⁡1τ(K)+log⁡R; by [F4], whose shift formula applies since ν^∈P(K) has total mass one and support in K with diam⁡K<R, the left side equals I(ν^)+log⁡R, so I(ν^)≤log⁡1τ(K).

7.1step 6.1F5F19algebra

Since ν^∈P(K), the minimality in [F5] gives VK≤I(ν^)≤log⁡1τ(K)<+∞; hence VK<+∞, cap⁡(K)=e−VK>0 and, by [F19], log⁡1cap⁡(K)=VK≤log⁡1τ(K), that is τ(K)≤cap⁡(K).

8.1step 4.1step 1.8step 7.1F5algebra

If τ(K)=0 then steps 4.1 and 1.8 give cap⁡(K)≤cheb⁡(K)≤τ(K)=0, while cap⁡(K)≥0 by [F5]; if τ(K)>0 then step 7.1 gives τ(K)≤cap⁡(K) and steps 4.1 and 1.8 give cap⁡(K)≤cheb⁡(K)≤τ(K); in both cases cap⁡(K)=τ(K)=cheb⁡(K).

9.1step 4.2step 3.3step 5.1step 6.1step 8.1F5F10

Assume cap⁡(K)>0. By step 8.1, τ(K)=cap⁡(K)>0, so the hypotheses of phase 4 hold and the argument of steps 4.2, 3.3, 5.1, 6.1 and 7.1 applies to any subsequence of (νn) in place of (νnk), because only the Fekete property of each z(n) and the limit log⁡1δn(K)→log⁡1τ(K) of step 2.2 are used: if ν^∈P(K) is a weak limit of a subsequence of (νn), then I(ν^)≤log⁡1τ(K)=VK by steps 6.1, 7.1 and 8.1, while VK≤I(ν^) by [F5]; hence I(ν^)=VK, and the uniqueness part of [F10] gives ν^=μK.

9.2step 3.1step 1.7step 8.1F15

If K is infinite, then steps 3.1 and 1.7 with step 8.1 give cheb⁡(K)≤lim inf⁡n∥Fn∥K1/n≤lim sup⁡n∥Fn∥K1/n≤τ(K)=cheb⁡(K), so lim⁡n∥Fn∥K1/n=cheb⁡(K)=cap⁡(K); since steps 3.1 and 1.7 use only the Fekete property of each z(n) and the definitions, this limit is the same for every sequence of n-point Fekete tuples.

10.1step 9.1F8F9algebra

Consequently νn⇒μK. Indeed, for every bounded continuous real f the sequence an:=∫f dνn is bounded, and every subsequence of (an) has a sub-subsequence converging to ∫f dμK: the corresponding subsequence of (νn) has a weakly convergent sub-subsequence by [F9], and its limit is μK by step 9.1, so the integrals converge by [F8]. A bounded real sequence all of whose subsequences have a sub-subsequence with the same limit L converges to L; hence an→∫f dμK, which is weak convergence.

11.1step 10.1step 1.11F8F17algebra

Let ε>0 and let δ>0 satisfy the uniform continuity of step 1.11 for the tolerance ε. By compactness of L and [F17] there are finitely many z1,…,zr∈L with L⊆⋃i≤rB(zi,δ); for each i the function w↦k(zi,w) is bounded and continuous on K, so step 10.1 gives N with ∣∫k(zi,w) d(νn−μK)(w)∣<ε for all n≥N and all i≤r. For z∈L choose i with ∣z−zi∣<δ; then ∣Uνn(z)−UμK(z)∣≤ε+ε+ε, because the two outer terms are bounded by ε from the uniform continuity of step 1.11 and the middle term is the displayed integral.

12.1step 11.1F17F18F19algebra

Both Uνn and UμK take values in the bounded interval [−C,C], where C:=max⁡L×K∣k∣<+∞ exists by [F17] and [F19]; the exponential is continuous and therefore uniformly continuous on [−C,C] by [F18] and [F19], so step 11.1 gives sup⁡z∈L∣exp⁡(−Uνn(z))−exp⁡(−UμK(z))∣→0.

13.1step 3.4step 12.1

By step 3.4 the left-hand function is ∣Fn(z)∣1/n for z∈L, so step 12.1 is exactly the asserted uniform exterior limit sup⁡z∈L∣∣Fn(z)∣1/n−exp⁡(−UμK(z))∣→0.

14.1step 8.1step 10.1step 9.2step 13.1∎

Assembly: step 8.1 proves cap⁡(K)=τ(K)=cheb⁡(K) for every compact K; step 9.2 proves the Fekete-polynomial norm limit for infinite K; step 10.1 proves weak convergence of the empirical measures to μK when cap⁡(K)>0; and step 13.1 proves the uniform exterior limit.

Remarks

The two directions of the equality are different in character. The inequality cheb⁡(K)≤τ(K) is elementary: appending one point to a Fekete tuple compares the monic Fekete polynomial with the Fekete diameters. The reverse comparison τ(K)≤cap⁡(K) is where the equilibrium theory enters: a weak limit of the Fekete counting measures has energy at most log⁡1τ(K), and minimality of VK forces equality and identifies the limit with μK. The inequality cap⁡(K)≤cheb⁡(K) of [F6] closes the circle.

The hypothesis that K is infinite in the norm limit is necessary. For a finite set K all sufficiently large tuples have a repeated entry, so every tuple is a Fekete tuple once δn(K)=0; the monic Fekete polynomial of a tuple that uses only one point of K has norm >0 in general, while cheb⁡(K)=0 by step 1.4. Hence the limit statement is asserted only for infinite K, where δn(K)>0 for every n.

Choice. Countable Choice selects one Fekete tuple per n; Dependent or Countable Choice is derived from the standing Axiom of Choice hypothesis. The weak compactness of [F9], the equilibrium measure of [F10] and the monic bound of [F6] are the only other places where a choice principle is used. Everything else, including the truncation estimate of steps 3.3, 5.1, 6.1 and 7.1 and the finite-net argument of steps 1.11, 11.1 and 12.1, is choice-free.

Sources. The equality τ=cap⁡ and the convergence of the Fekete counting measures are Saff, Theorem 1.9; the comparison with the Chebyshev constant and the exterior limit are Saff, Theorem 1.18; the printed page range is pp. 172–178 of the cited arXiv version.

5 · Examples, counterexamples and false statements

None yet.

Sources