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Logarithmic Potential, Capacity, and Riesz Decomposition
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Analyticity of Holomorphic Functions; Liouville and Morera
- Approximation and Compactness in C(K)
- Arc Length and Rectifiable Curves
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Compact Operators and Riesz Schauder Theory
- Compactness
- Compactness in Metric Spaces
- Complete Metrizability, Čech-Completeness, and Baire Category
- Completeness, Completion, and Uniform Continuity
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Complex Power Series and Analytic Functions
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- Connectedness
- Constant Rank, Submersions, Immersions and Regular Level Sets
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Contour Integration
- Convexity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Cyclic Groups and Direct Products
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Euclidean Surface Measure, Divergence, and Green Identities
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Probability and the Probabilistic Method
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Function Space Topologies and the Exponential Law
- Fundamental Solutions Newtonian Potentials and Green Functions
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- Green Functions, Harmonic Measure, and Conformal Invariance
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Harmonic Functions and Mean Values in Rn
- Harmonic Functions and the Poisson Integral
- Hausdorff via the Diagonal
- Hereditary and Productive Behaviour of the Separation Axioms
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Infinite Product Measures and Kolmogorov Extension
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Line Integrals and the Gradient Theorem
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Maximum Principles Harnack and Liouville in Rn
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- pi: the Equivalent Characterizations
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- Regular Surfaces and Surface Integrals
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Schwartz Space and the Plancherel Theorem
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Smooth Partitions of Unity and Exhaustions
- Splitting Fields
- Subharmonic Functions and the Dirichlet Problem
- Subspaces, Products, and Quotients
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Symmetric Polynomials and the Fundamental Theorem of Symmetric Functions
- The Analytic Hahn Banach Theorem
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Divergence Theorem and Classical Stokes
- The Exponential Function
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Fundamental Theorems of Calculus
- The Galois Correspondence
- The Identity Theorem, the Maximum Principle and the Open Mapping Theorem
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Radon Nikodym Theorem and Lebesgue Decomposition
- The Real Gamma and Beta Functions
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The Winding Number and the Global Cauchy Theorem
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Volumes of Elementary Solids and Solids of Revolution
- Weak Convergence Tightness and Representation
- Weak Derivatives and Sobolev Spaces
2 · Summary
This page develops the classical logarithmic potential theory of compact subsets of the plane. The kernel carries the value on the diagonal, and the potential and energy of a finite positive measure of compact support are defined through a shift with larger than the diameter of the carrier. On each nonempty compact set the Robin constant is the infimum of the energy over Borel probability measures on , the capacity is (with ), 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 of a subharmonic 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 -compact-polar calculus used by quasi-everywhere statements. The page also proves descent and domination principles for logarithmic potentials. Fekete points, the transfinite diameter , and the monic Chebyshev constant are then related to capacity by . For nonpolar , empirical Fekete measures converge weakly to the equilibrium measure, and the normalized moduli converge uniformly on compact subsets of to .
The final items construct the Green function with pole at infinity from the equilibrium potential, , with its quasi-everywhere boundary condition, and record the reciprocity inequality and the monic lower bound 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
Support of a finite Borel measure on the plane
Definition
Let be a finite positive Borel measure on (Radon measure on an LCH space). Call an open set -null when . The support of is the complement of the union of all open -null sets,
which is a closed subset of (Interior, closure, boundary, limit point, isolated point and dense subset of a metric space). Equivalently, if and only if for every open set . A measure is carried by a Borel set when , the terminology of A positive, signed, or complex measure concentrated on a measurable set. We say has compact support when it is carried by some compact subset of .
Remark
The support is the smallest closed carrier, and the argument is choice-free. Let be the union of all open -null sets. The rational open squares of form a countable basis ( is a countable dense subset of , and rational open boxes form a countable basis). Let be the countable family of those basis squares with . If , then lies in some open -null , and the basis property supplies a square with ; conversely every is contained in . Hence is the countable union of the -null sets and is itself -null by countable additivity (Measures on sigma-algebras). Therefore : the support carries . If is a closed set with , then is an open -null set, so it is one of the sets in the defining union and ; the support is thus the smallest closed set carrying . In particular if and only if , and if is carried by a compact , then is compact.
Logarithmic potential and energy of a positive compactly supported measure
Definition
Identify with and let be area Lebesgue measure. All measures below are positive Borel measures. The logarithmic kernel is
with the diagonal value ; here is the natural logarithm. The map is Borel on and exactly when .
The kernel is used with the following two standing hypotheses, each stated separately where it is needed.
Potential. Let be a finite positive Borel measure of compact support. The logarithmic potential of is
The integral is the extended integral of the Borel function , which is bounded below on the fixed compact set and takes the value only at . Its negative is the subharmonic normalisation
For the zero measure both extended integrals are empty sums; we record the clauses and .
Energy. Let be a finite positive Borel measure of compact support. Choose and put . Then on , and the logarithmic energy of is
Here the double integral of the nonnegative Borel function is the iterated extended integral, well defined by Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, and the value does not depend on the choice of . For the zero measure, whose support is empty and has no diameter, we record the separate clause ; this is also the value of the displayed formula for every (both the double integral over the empty carrier and the subtracted term are ), so the clause is the consistent extension of the definition and is used only to avoid mentioning . For bounded Borel the finiteness is that of Radon measure on an LCH space.
Mixed energy. Let be finite positive Borel measures of compact support and choose . The mixed energy of and is
again independent of the choice of . If or we record the clause ; for the displayed formula gives for every , and symmetrically for , so this is again a consistent extension covering the case in which . When the same symbol is used, and because is symmetric.
Remarks
Why the shift is legitimate. Since on the product of the supports, the two extensions of obtained from two admissible radii agree by Tonelli: the nonnegative integrands and differ by the constant , whose integral against is .
Unbounded support. For a finite positive Borel measure whose support is not compact, is defined by the extended integral when , so its negative part has finite integral and . For energy, put and , both nonnegative extended integrals defined by Tonelli. When at least one of is finite, define . In particular, and gives ; if , the value lies in . If both parts are infinite, 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 , then on the product of the support with itself, so ; if then . The diagonal value is not a removable convention: for every with the values and depend on which value is assigned at .
Robin constant and logarithmic capacity of a compact set
Definition
Let be compact and nonempty, and let be the set of Borel probability measures on (Probability measures and probability spaces), viewed as measures on carried by . Every has compact support contained in , so its logarithmic energy is the quantity of Logarithmic potential and energy of a positive compactly supported measure; indeed the kernel is bounded below on : it is when , and for the only measure of when is a singleton.
The Robin constant of is
The set is nonempty: it contains the Dirac measure at any point of (The Dirac set function at a point). Put . If , all energies are and we set . Otherwise is not a singleton, and is a nonempty subset of bounded below by , so Every nonempty set bounded below has an infimum gives its real infimum. Set 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 is
with the real exponential function (The real exponential function and the number by a power series). Thus for every nonempty compact , and for the empty set one uses the separate convention
Remarks
Zero capacity as total divergence of the energy. For nonempty compact , holds exactly when , that is, exactly when for every : the set 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 are nonempty compact sets, then every Borel probability measure on , extended by zero to the Borel subsets of , is a Borel probability measure on with the same energy; hence , the infimum over the larger set is no larger, , and . The explicit case is consistent with this: the empty set is contained in every set.
Normalization. The sign rather than is the convention of the cited sources: it makes a length, for instance for a disc. The constant and the capacity determine each other whenever .
Choice. No choice principle is used in this definition. Choosing a point of a nonempty compact set to exhibit nonemptiness of is a single selection from a nonempty set; the infimum is a set-theoretic construction on a fixed set of extended reals.
Lower semicontinuity of logarithmic potential and energy
Statement
Let be nonempty compact and let be Borel probability measures on with . With the Borel kernel assigned on the diagonal, the extended integrals and of Logarithmic potential and energy of a positive compactly supported measure are unambiguous: for each fixed , a Borel function of that equals for -almost every gives the same potential at ; a Borel kernel equal to for -almost every gives the same energy. Moreover
Finally, if for some then , so for atomic measures the diagonal value is not a free convention. No choice principle is required.
Facts & Assumptions
Given: a nonempty compact , Borel probability measures on with , and the kernel, potential and energy conventions of Logarithmic potential and energy of a positive compactly supported measure.
On a compactly supported finite positive measure , the potential is the extended integral of the Borel kernel with diagonal value , and for the energy satisfies with (Logarithmic potential and energy of a positive compactly supported measure).
For Borel probability measures on a metric space, means for every bounded continuous real (Weak convergence of borel probability measures).
A Borel probability measure has total mass one (Probability measures and probability spaces).
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).
Sums, scalar multiples, maxima and minima of continuous real functions are continuous, and is differentiable with derivative on (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, The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t).
Monotone convergence: for pointwise measurable, (Monotone convergence for the integral).
A unital point-separating subalgebra of on a nonempty compact metric space is uniformly dense (Real Stone--Weierstrass theorem for compact metric spaces).
A finite product of nonempty compact spaces is compact (A product of finitely many compact spaces is compact in the product topology).
For a product-integrable function the iterated and product integrals agree (Fubini's theorem for L^1 functions on a sigma-finite product).
The product measure is a measure on the product -algebra (The product measure of two sigma-finite measure spaces).
Proof
Let , , and be as given, fix , and set , , and in the conventions of [F1]; then for every Borel probability on .
The finite sums of continuous functions on form a unital subalgebra of separating points, so it is uniformly dense by [F7], since is a nonempty compact metric space.
The shifted kernel is Borel, nonnegative on , and equal to exactly on the diagonal.
If nonnegative measurable functions agree off a null set , then by [F4]; hence, for each fixed , Borel functions of agreeing with -almost everywhere produce the same value of , and Borel kernels agreeing with -almost everywhere produce the same energy.
Fix and choose ; for the truncation is continuous on and bounded by , because it equals near and is a minimum of continuous functions elsewhere, and for every Borel probability on .
For such a finite sum , [F9] and [F10] give .
Since is bounded and continuous, the weak convergence gives , hence for every .
For put ; it is continuous on , bounded by , and for every Borel probability on .
Given , step 1.2 provides with on and hence , so step 2.4 makes the left side tend to : .
As one has pointwise, so [F6] gives in the extended sense; combining with step 3.1 yields for every .
Therefore for every ; since pointwise, [F6] gives , so .
If , the diagonal value of the kernel gives ; for , replacing by a finite value changes from to , so the diagonal value cannot be assigned freely for the class of atomic measures.
Strict positivity of logarithmic energy for a zero-mass signed charge
Statement
Assume the Axiom of Countable Choice. Let be finite positive Borel measures on with compact support, equal total mass , and finite logarithmic energy , in the normalization of Logarithmic potential and energy of a positive compactly supported measure. Then:
- the mixed energy is finite, and is a well-defined real number for ;
- , and where for ;
- if and only if .
The case is included and settled separately: then , hence by the zero clauses of Logarithmic potential and energy of a positive compactly supported measure, so , the number is well defined and the representation of (2) holds because for every ; assertion (3) is then a tautology. The proof below therefore assumes .
Countable Choice enters at exactly one point, step 6.1, through the regularity of finite Borel measures on the second-countable space ; the pointwise, Gaussian and convergence steps are choice-free.
Facts & Assumptions
Given: finite positive compactly supported Borel measures on with and (the case is settled in the Statement, so below); ; the compact set , which is nonempty for and carries ; the notation and , of Logarithmic potential and energy of a positive compactly supported measure; and the Axiom of Countable Choice (The Axiom of Countable Choice ()).
For the shifted kernel is nonnegative on the product of the supports, and ; these values do not depend on the admissible (Logarithmic potential and energy of a positive compactly supported measure).
For -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).
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).
For a nondecreasing sequence of measurable functions with nonnegative values, the integrals converge to the integral of the limit (Monotone convergence for the integral).
: every countable family of nonempty sets has a choice function (The Axiom of Countable Choice ()).
Assume : every Borel measure on a second-countable locally compact Hausdorff space that is finite on compact sets is regular, so for every Borel , (Locally finite Borel measures on second-countable LCH spaces are regular).
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).
Differentiation under the integral sign for a parameter integral with an integrable dominating function of the derivative (Differentiation under the integral sign).
Dominated convergence (Dominated convergence).
The support of a finite positive Borel measure on carries and is the smallest closed carrier; a nonzero such measure has nonempty support, and if is carried by a compact set then its support is compact (Support of a finite Borel measure on the plane).
Proof
Fix with , write , and let . For the identity follows from Tonelli applied to the nonnegative integrand and ; taking , gives when , while at the integral is ; the truncation is continuous on , satisfies pointwise on , and increases to as .
Let and let be finite signed Borel measures of compact support on . Put , which satisfies since and ; is a bounded continuous function of by [F9], and Fubini–Tonelli applied to the triple integral of the nonnegative integrand , together with the substitution and , gives .
In the situation of step 1.1, expanding and applying Fubini to each finite positive measure with the bounded integrand gives ; since the second exponential contributes , so by step 1.2 the inner integral is for every , and hence for every .
Put , , , so that by step 2.1. Since pointwise by step 1.1, [F4] gives the monotone limits , and , using [F1]. From we get for every , so : the mixed energy is finite, and is a well-defined real number with .
Combining the integral representation of in step 2.1 with the convergence of step 3.1 shows as , where for every by step 1.2; since is measurable and nonnegative, [F4] gives .
Suppose . Then by step 4.1, so for almost every and in particular there is with ; by step 1.2 this means , so almost everywhere, and since is continuous by [F9] one has on . The functions and their complex derivatives are continuous on by [F8] applied iteratively, with dominating functions bounded on by a constant times a power of , which is integrable against the finite signed measure carried by the compact set ; since , all these derivatives vanish at . Expanding shows that the derivative at zero is times plus a linear combination of terms with . Induction on therefore gives for all . The monomials span the polynomials in the real variables (equivalently, the polynomials in and ), so for every such polynomial .
Assume and, seeking a contradiction, ; by [F10] and the set is a nonempty compact subset of , and is carried by because by [F10]. For every the function is continuous on , so by [F7] applied to the polynomials in the real variables — a unital subalgebra of separating points of — there are such polynomials with uniformly on ; since on , the integrals of bounded Borel functions against the finite signed measure are bounded by in absolute value, and is carried by , step 5.1 gives . For a proper open , the functions are continuous with ; hence , and [F4] gives . Equality also holds for because both measures have mass . By [F6] the finite Borel measures are outer regular, so for every Borel one has , that is, , contradicting . Hence forces .
Conversely means , hence and by the definition in step 3.1; combined with step 6.1 this proves the equivalence (3), while the finiteness of and the well-definedness of with were proved in step 3.1 and the representation of in step 4.1.
Existence and uniqueness of the equilibrium measure
Statement
Assume the Axiom of Choice. Let be nonempty and compact with . Then there is exactly one Borel probability measure on with
The measure is the equilibrium measure of . If then , every has , 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 with , the probability measures on , the Robin constant and the logarithmic energy 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).
is the set of Borel probability measures on (Probability measures and probability spaces), each of compact support contained in ; and when and when , so is equivalent to (Robin constant and logarithmic capacity of a compact set).
For finite positive Borel measures of compact support the mixed energy is symmetric, , and it is computed from the shifted nonnegative kernel with by (Logarithmic potential and energy of a positive compactly supported measure).
If with in the sense of Weak convergence of borel probability measures, then for every and (Lower semicontinuity of logarithmic potential and energy).
Assume the Axiom of Choice: every sequence in has a subsequence converging weakly to some element of (Probability laws on a compact metric space have weakly convergent subsequences).
Assume Countable Choice, and let be finite positive Borel measures on with compact support, equal total mass and finite energy. Then is finite, is a real number, , and if and only if (Strict positivity of logarithmic energy for a zero-mass signed charge).
The Axiom of Choice implies Dependent Choice, which implies Countable Choice (AC implies DC implies countable choice, The Axiom of Countable Choice ()).
If is nonempty and bounded below with infimum , then for every there is with (Epsilon characterisation of the infimum).
Finite nonnegative weighted sums of measures are measures, and a convex combination with 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
Since , [F1] and the finite-energy construction in Robin constant and logarithmic capacity of a compact set give the nonempty real set with . It is bounded below by . The infinite energies do not alter its real lower bounds. Applying [F7] to , for each there is a finite energy below , so is nonempty.
By [F6] the Axiom of Choice yields Countable Choice, so there is a sequence in with for every .
By [F4], which assumes the Axiom of Choice of the hypothesis, the sequence has a subsequence and a limit with .
Applying [F3] to the weakly convergent subsequence of step 3.1 and using step 2.1 along it gives , while holds because is an infimum over ; hence .
For uniqueness let satisfy ; both have compact support in , finite energy and total mass , so [F5] applies to the pair and the average lies in by [F8], whence . Expanding the double integral of and using from [F2] gives the finite value ; comparing with the companion expansion of the same bilinear form from [F5], this says . Substituting yields , that is, .
With as in step 5.1 the signed measure also meets the hypotheses of [F5], so by step 5.1, while [F5] gives ; hence and [F5] gives , that is, , so the minimizer of step 4.1 is the only minimizer and is the stated equilibrium measure .
The zero-capacity case is [F1] verbatim: if then , so an element with would have by definition of the extended infimum, and the statement asserts nothing about the existence of such a , which completes the proof.
Remarks
The equilibrium measure is a probability on the conductor. The minimizer of the theorem is carried by , since consists of the probability measures on ; this is used by every later item that integrates against over .
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 and forces 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 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.
Capacity-polar sets, quasi-everywhere, and subharmonic polar sets
Definition
Let 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 and or for nonempty compact are used verbatim.
Capacity-polar sets. A set is capacity-polar when
The restriction to compact subsets is deliberate: capacity is defined here for compact sets, so the definition tests through its compact parts, and a capacity-polar set may be neither compact nor Borel. A compact is capacity-polar exactly when , and is capacity-polar by the convention . A set is nonpolar when it is not capacity-polar, that is, when it contains a compact set of positive capacity.
Quasi-everywhere. Let be a property of the points of a compact conductor , that is, a statement for . One says that holds quasi-everywhere on , abbreviated holds q.e. on , when there is a Borel capacity-polar set with
The exceptional set is required to be Borel so that the statement has a measurable exceptional carrier; the definition itself asks nothing about the values of on . If holds everywhere on it holds q.e. on , with . A set is called q.e.-negligible when it is contained in a Borel capacity-polar subset of ; a property holds q.e. exactly when it fails on a q.e.-negligible set.
Subharmonic polar sets. A set is subharmonically polar when for every there are a complex domain and a function subharmonic on (Subharmonic functions on plane domains) with
Here a complex domain is a nonempty connected open set (A complex domain is a nonempty connected open subset of ). Subharmonicity already requires that be not identically on ; the requirement in the literature that the witness be "not identically " is therefore automatic in this convention. If 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 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 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 is compact, cover by finitely many open discs whose closed discs lie in the respective local witness domains. Each compact piece obtained by intersecting 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 , and its compact converse gives . 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 " is a statement about a fixed collection of sets, the exceptional Borel set is quantified rather than selected, and the local witnesses are existential.
Maximum principle for a compact logarithmic potential
Statement
Let be a finite positive Borel measure on carried by a compact set, let , and let . If for every , then for every . No choice principle is required.
Facts & Assumptions
Given: a nonzero finite positive Borel measure on carried by a compact set, its support , a real number , the hypothesis on , and the kernel and potential conventions of Logarithmic potential and energy of a positive compactly supported measure.
The kernel is with the diagonal value , it is Borel, and exactly when ; the potential is the extended integral of this Borel function, and (Logarithmic potential and energy of a positive compactly supported measure).
The support is the complement of the union of all open -null sets; it is closed, it carries , it is contained in every closed carrier, and holds if and only if (the definition and its countable-basis proof in the Remark of Support of a finite Borel measure on the plane).
For decreasing measurable sets with for some , one has (Continuity from above when one set has finite measure).
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).
The function is smooth and harmonic on , so its Laplacian vanishes there (Logarithmic modulus is harmonic off its centre).
A real-valued function on an open plane set is harmonic when it is and its Laplacian vanishes there (Plane harmonic functions).
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).
A subset of is compact if and only if it is closed and bounded (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line).
A point lies in the boundary exactly when every ball about it meets both and its complement, and for open one has (Interior, closure, boundary, limit point, isolated point and dense subset of a metric space).
Every connected component of an open subset of is open and path-connected (Every connected component of an open subset of is open and polygonally connected).
A path-connected space is connected (Every path-connected space is connected, and every path component lies inside a component).
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).
A complex domain is a nonempty connected open subset of (A complex domain is a nonempty connected open subset of ).
Proof
Set , and , so that for every .
By [F2] the set is closed, carries and is contained in every closed carrier; since is carried by a compact set, is a nonempty compact subset of that carrier and , so the function of step 1.1 satisfies for every .
For the hypothesis gives for the function of step 1.1; were , the diagonal contributes to the integral for , while the kernel on the compact support is bounded below, so , that is , so .
Suppose, for contradiction, that for some ; then by the hypothesis at the points of , and with as in step 1.1 one can choose with (if is finite take and if take ) and set .
Hence for every the decreasing measurable sets satisfy as : continuity from above applies to the finite measure , and is step 2.2.
Since carries by step 2.1, for with the kernel and its partial derivatives in of order at most two are continuous and uniformly bounded on . These constant bounds are -integrable because is finite. Apply [F4] successively along coordinate intervals to the kernel and its first derivatives: the measurable differentiated integrands obey these bounds, so by [F5]. Dominated convergence in [F4] makes the resulting derivatives continuous. Thus locally off and is harmonic there by [F6].
Fix , and with ; the continuous function attains a least value over the nonempty compact of step 2.1 at some , so and hence and for every ; the estimates below hold for every nearest point , so only its existence is used.
The set of step 2.3 is bounded: with (finite by step 2.1) and one has for every , so by step 2.1 and for all large ; therefore is closed and bounded, hence compact.
On the region both and exceed for the points of step 3.3, so the mean value estimate for the logarithm gives , while on the region the nearest-point inequality of step 3.3 gives .
Splitting the integral of step 2.1 at and and integrating the two pointwise bounds of step 4.1 for the nearest point of step 3.3 gives , the last inequality by the hypothesis at ; the near part of is finite because is finite and the integrand on is bounded, so no difference of infinities occurs.
Consequently, for every there is with whenever and : by step 3.1 choose with , and put and , so that the last term of step 5.1 is less than ; thus at every .
The set of step 2.3 is nonempty and open, and : since and step 6.1 applies at every with , giving , the set misses a whole ball about each boundary point, so no limit point of lies in ; hence , because a point of lying in would have every ball about it meeting both and , that is, would lie in .
The function is continuous on the nonempty compact set of step 3.4 and attains there a minimum at some ; every point satisfies , because by step 7.1 and is continuous at , points of approach with and points outside approach with (on because by the hypothesis, on by the definition of in step 2.3); since , the minimiser lies in , and for every outside , so attains a global minimum over at the interior point .
Let be the connected component of containing ; it is open and path-connected, hence a domain, is harmonic by step 3.2, and is an interior local minimum of , so [F12] forces on , with by step 8.1.
The component is a proper subset of , because and by step 2.1; hence , since otherwise would make the nonempty proper subset both open and closed in the connected space .
Every point lies in : it lies in , and if then , whose component is open by [F10] and disjoint from , so is contained in the closed set , which does not contain ; hence , and every ball about also meets because is a boundary point of the domain of step 9.1, so .
If were unbounded, choose with and a point with ; then step 3.4 gives by step 9.1, a contradiction.
If were bounded, step 10.1 gives a point , hence by step 10.2, and step 6.1 with gives a ball with for all , using from step 9.1; but makes meet , and any in that intersection satisfies by step 9.1, a contradiction.
Both cases of steps 11.1 and 10.3 are impossible, so the supposition of step 2.3 is false: holds on , and on it is exactly the hypothesis, so on all of and therefore everywhere.
Frostman inequalities and quasi-everywhere equilibrium equality
Statement
Assume the Axiom of Choice. Let be compact with and let be its equilibrium measure (Existence and uniqueness of the equilibrium measure). Then
and outside a Borel capacity-polar subset of ; the exceptional set may be taken to be a countable union of compact sets of capacity zero. Here , 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 and to the nonpolar compact subsets of 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 with , its equilibrium measure , 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.
Let be finite positive Borel measures carried by a common compact set , and take . Then on . If , product measure monotonicity gives , hence which is finite when . If and 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 No pointwise monotonicity 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 of compact support, with and diagonal value , is the subharmonic normalisation, computed from the shifted nonnegative kernel for , and the mixed energy is symmetric (Logarithmic potential and energy of a positive compactly supported measure). If then on , so .
and when and otherwise; so is equivalent to (Robin constant and logarithmic capacity of a compact set).
The support of a finite positive Borel measure is closed, carries , is contained in every closed carrier, and if and only if ; in particular every ball about a point of has positive -measure (Support of a finite Borel measure on the plane).
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).
Assume the Axiom of Choice: every nonempty compact with has exactly one equilibrium measure , and ; if then and no equilibrium measure is asserted (Existence and uniqueness of the equilibrium measure).
is subharmonic on for every finite positive compactly supported , hence upper semicontinuous with values in , and is lower semicontinuous with values in ; consequently every sublevel set is closed (Distributional Laplacian of a compact logarithmic potential, Subharmonic functions on plane domains).
If is finite positive, compactly supported and on for some real , then on all of (Maximum principle for a compact logarithmic potential).
Assume Dependent Choice. A compact set has if and only if there are a complex domain and a function subharmonic on with ; and if is a specified sequence of compact sets with for every , then there is a function subharmonic on all of , not identically , with on (Compact capacity-zero sets and subharmonic minus-infinity loci).
The Axiom of Choice implies Dependent Choice, which implies Countable Choice (AC implies DC implies countable choice), the choice principle used by [F6].
Proof
By [F2] and [F5] the hypothesis gives and the equilibrium measure with ; is carried by , so by [F3] its support is a nonempty compact subset of with and for every ball about a point of .
Since the kernel is bounded below on , so [F1] gives by Tonelli and ; moreover, by [F1] with the common carrier and , every finite positive measure carried by has , and the mixed energy of two finite positive compactly supported measures with finite energy is finite; in particular for every with .
Minimality inequality: for every with and one has . Indeed, for the convex combination lies in , so by [F2] and [F5]; expanding the double integral of with [F1] gives , so subtracting , dividing by and letting yields , that is .
Claim: for every . Suppose not, and choose with (if any will do); by [F6] the set is open, so there is with on the disc ; put , so by step 1.1. If then is carried by , so by step 2.1, where is a finite real number, , a contradiction; hence . The restriction satisfies and , so has and by step 2.1, while the pointwise bound on and give contradicting step 3.1; so no such exists.
Since and on by step 4.1, the maximum principle [F7] with gives for every , which proves the first assertion and in particular gives the finiteness for every below.
For the set is compact, because is compact and is closed by [F6]; if were compact with , then [F5] applied to would give an equilibrium measure with , and steps 3.1 and 5.1 would give the contradictory chain ; hence every compact subset of has capacity zero.
By step 6.1 each has the property that every compact subset has capacity zero, in the sense of [F4]. Hence is capacity-polar: if is compact, then is a specified countable union of compact sets of capacity zero, so the specified- clause of [F8] supplies a function subharmonic on that equals on all of , and the compact clause of [F8], applied with , gives . Thus is a Borel capacity-polar subset of (it is a countable union of compact sets), and for one has for every , hence , while step 5.1 gives ; therefore on , which is the second assertion.
Remarks
Why the two halves are different. The inequality everywhere is the part that uses the minimality of through the competitor obtained by deleting a small disc of large potential; the reverse inequality 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 and again for the compact sets 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 quasi-everywhere on ".
Reciprocity inequality for logarithmic potentials
Statement
Assume the Axiom of Choice. Let be compact with and let be its equilibrium measure. Then for every compactly supported Borel probability measure on ,
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 with , its equilibrium measure , a compactly supported Borel probability measure on , the logarithmic kernel with diagonal value , the potential and the mixed energy of Logarithmic potential and energy of a positive compactly supported measure, and the Axiom of Choice (The Axiom of Choice).
For a finite positive Borel measure of compact support, , and for one has on the product of the support with itself and , independently of ; for a pair of such measures and the same shifted kernel is nonnegative on the product of the two supports and , independently of (Logarithmic potential and energy of a positive compactly supported measure).
and when and otherwise, so is equivalent to , and then (Robin constant and logarithmic capacity of a compact set).
Assume the Axiom of Choice: a compact nonempty with has exactly one equilibrium measure , and ; the measure is a Borel probability measure carried by , so its support is a nonempty compact subset of (Existence and uniqueness of the equilibrium measure, Probability measures and probability spaces).
Assume the Axiom of Choice: with as above, for every (Frostman inequalities and quasi-everywhere equilibrium equality).
Tonelli's theorem computes the integral of a nonnegative product-measurable function on a -finite product as either iterated integral (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product); the support of a finite positive Borel measure is closed, carries , and every closed set carrying contains it (Support of a finite Borel measure on the plane).
Proof
By [F2] and [F3] the hypothesis gives , the equilibrium measure , and ; since and are compact and nonempty, , and as the set is not a singleton, so ; fix .
Frostman bound. By [F4] one has pointwise on , and is a probability, so .
On one has , so the shifted kernel is a nonnegative Borel function there; Tonelli [F5] applied to the product measure therefore gives , both sides being elements of .
The infimum bound. For and , one has , including , where the kernel has value . Integrating this pointwise bound against the probability , carried by its support, gives on . Thus and : for finite , integrate against the probability carried by ; for , the potential is everywhere on and its integral is .
For each one has as extended reals, since pointwise and ; integrating against the probability gives , and symmetrically , the identities being understood in with .
Reciprocity. Comparing the two expressions for the common value in step 2.1 gives ; subtracting the finite real number yields the reciprocity identity .
Combining steps 4.1, 2.2 and 1.2, , and 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 is a Fubini statement for the kernel on the product of the two supports; no finiteness of is assumed, and the value is allowed on both sides. The shifted kernel is nonnegative on that product, which is what makes Tonelli applicable without any integrability hypothesis.
Sharpness of the inequality. The inequality is the classical reciprocity inequality of Saff, Proposition 1.13; equality holds for whenever at every point of . Quasi-everywhere equality alone (Frostman inequalities and quasi-everywhere equilibrium equality) does not suffice for the infimum over all of : exceptional polar points may have smaller potential.
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 is identified with .
Let be nonempty and compact. For a polynomial put
The supremum is finite and is a maximum: 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, , and modulus is definite, multiplicative, and subadditive; a continuous real-valued function on the nonempty compact space 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 define
This infimum is a real number: the set is nonempty because is monic of degree , it consists of nonnegative numbers by the modulus laws, and every nonempty subset of bounded below has a greatest lower bound, the infimum (Every nonempty set bounded below has an infimum, Greatest lower bound (infimum)). Thus for every .
The Chebyshev constant of is
where is the unique nonnegative -th root of (Existence and uniqueness of -th roots: a unique with ). This infimum exists by the same argument: the index set is nonempty, each , so the set is nonempty and bounded below by (Every nonempty set bounded below has an infimum). For the empty set one uses the separate convention
Remarks
No extremal polynomial is claimed. The quantity 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 only through the sup norms. Every ingredient of the definition is a function of the compact set ; for one has and for all because is a monic degree- polynomial vanishing at , so .
The root limit is proved later. That the infimum defining is also the limit of the sequence is the content of The Chebyshev constant is the root limit of monic extremal norms and is not assumed here.
The Chebyshev constant is the root limit of monic extremal norms
Statement
Let be nonempty and compact, with and as in Chebyshev constant of a compact planar set. Then
and consequently the sequence of nonnegative -th roots converges with
No choice principle is used.
Facts & Assumptions
Given: a nonempty compact , the quantities and of Chebyshev constant of a compact planar set, and the standing convention that all polynomials are monic of the stated degree when said so.
By definition , with and ; and (Chebyshev constant of a compact planar set).
Over the integral domain , a product of nonzero polynomials has 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).
If is nonempty and bounded below and is a lower bound of , then exactly when for every there is with (Epsilon characterisation of the infimum).
For and the nonnegative -th root is the unique with ; for one has , and for one has (Existence and uniqueness of -th roots: a unique with ).
On the map is strictly increasing for (Monotonicity of and of ).
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).
and of a real sequence are elements of ; a sequence converges to if and only if (Limit superior and limit inferior of a real sequence as and in , A real sequence converges to iff , and diverges to iff both equal ).
If eventually, then and in (If eventually then and ).
For , as (For every , ).
Proof
Fix and . Since and are finite lower bounds of their respective nonempty sets by [F1], [F4] supplies a monic polynomial of degree with and a monic polynomial of degree with . By [F2] the product is monic of degree , and by [F3] one has for every , so . As is a lower bound for the norms of all monic degree- polynomials ([F1]), for every ; letting gives .
Set for and . Then and by step 1.1, and by [F1]; in particular and for every . If for some , then iterating the submultiplicative inequality of step 1.1 in the form for gives for every , so for all by [F5], the root sequence converges to , and because and belongs to the set; in this first case .
Suppose now that for every , and fix . Put , and ; both maxima exist by [F7] (for the set whose maximum defines is ). Write an arbitrary as with integers and . Iterating of step 1.1 gives , where for and for ; hence because . Since one has : for this is , and for the inequality gives . Therefore , since is the same inequality, and consequently for every by [F5] and [F6].
In the situation of step 2.2, apply [F9] to the eventual inequality just obtained and use that converges to by [F10] and [F8]; hence . Since was arbitrary and ([F1]), given the characterization [F4] of the infimum supplies with , so for every , that is, . On the other hand is a lower bound of the root sequence by step 2.1, so (Limit superior and limit inferior of a real sequence as and in ); hence , which by [F8] is convergence of to . In this second case therefore as well.
The two cases of steps 2.1 and 3.1 are exhaustive (either some or for all ), and in both the root sequence converges to ; combining with the submultiplicativity proved in step 1.1 gives for all and .
Monic polynomial lower bounds for the Chebyshev constant and capacity
Statement
Assume the Axiom of Choice. Let be nonempty and compact. Then for every monic complex polynomial of degree ,
and consequently .
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
Given: A nonempty compact set , a monic complex polynomial of degree , the Axiom of Choice, and the conventions of Chebyshev constant of a compact planar set, Formal complex polynomials, evaluation, degree, leading coefficient, and monic polynomials, Logarithmic potential and energy of a positive compactly supported measure and Robin constant and logarithmic capacity of a compact set.
For nonempty compact , is finite and attained, and for every integer the number is a real number with ; the Chebyshev constant is with nonnegative -th roots, and (Chebyshev constant of a compact planar set, Existence and uniqueness of -th roots: a unique with ).
A monic polynomial of degree has leading coefficient ; if is monic of degree then belongs to the class whose infimum defines (Formal complex polynomials, evaluation, degree, leading coefficient, and monic polynomials, Chebyshev constant of a compact planar set).
A polynomial of degree factors as with distinct roots , positive multiplicities summing to , and its leading coefficient; equivalently has exactly roots counted with multiplicity (A complex polynomial of degree has exactly roots counted with multiplicity).
For points the Dirac measures 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 is thus a Borel probability measure carried by the finite set , which is compact (Probability measures and probability spaces).
For a finite positive Borel measure of compact support, with and diagonal value (Logarithmic potential and energy of a positive compactly supported measure).
For nonempty compact , and when , while when ; in particular is equivalent to , and then (Robin constant and logarithmic capacity of a compact set).
Assume the Axiom of Choice. If is compact with and is any compactly supported Borel probability measure on , then (Reciprocity inequality for logarithmic potentials).
The modulus is multiplicative: for finitely many complex numbers, and exactly when (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
Proof
By [F1] and [F2] the number is a well-defined real number with , since is monic of degree and all are nonnegative; and is a nonnegative real number, so .
First lower bound. Since raising preserves the order on nonnegative reals, from step 1.1 gives ; and because belongs to the class whose infimum is ; hence , the first asserted inequality.
Second bound when . If then while , so holds trivially.
Second bound when . By [F3], applied to of degree with leading coefficient (step 1.1 and [F2]), there are distinct roots with multiplicities summing to and ; listing the roots with multiplicity as and putting , [F4] makes a Borel probability measure whose finite support is compact. By [F5] and [F8], for every , both sides being exactly at the roots of . By [F7], whose Axiom of Choice hypothesis is part of the Given, ; so for each real there is with , and then and , that is, . Hence for every , and letting gives by [F6] and algebra.
Capacity is at most the Chebyshev constant. If then by the nonnegativity in [F1]. If , step 2.3 gives for every monic of degree , so the infimum satisfies and, taking nonnegative -th roots, for every ; since is the infimum of these numbers, . In either case , the final assertion.
Assembly. Step 2.1 gives the lower bound by and steps 2.2 and 2.3 together give the lower bound by for every monic of degree ; step 3.1 gives . 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 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 outside , dips to at most somewhere on . When no equilibrium measure exists and the bound degenerates to the trivial .
Strictness is not asserted. The lemma only produces lower bounds; equality 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.
Distributional Riesz measure of a plane subharmonic function
Definition
Let be a plane domain and let be subharmonic on (Subharmonic functions on plane domains); in particular is not identically on any component. Then (Plane subharmonic functions are locally integrable), so for every compactly supported smooth test function the Lebesgue integral converges absolutely: the support of is compact and is bounded, so . The distributional Riesz functional of is
where is the Laplacian, is area Lebesgue measure, and 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 depends only on the almost-everywhere representative of : if a.e. then a.e. for every test function, so the integrals agree. Linearity in is inherited from the linearity of differentiation and integration.
The normalization factor is chosen so that, under Countable Choice (The Axiom of Countable Choice ()), a logarithmic point potential has unit mass at its pole: in the distributional sense, that is, (The negative Laplacian of the fundamental solution is the unit Dirac distribution).
Remarks
What is and is not asserted here. The assignment 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 under Countable Choice one has by the normalization above, and for a compactly supported logarithmic potential one has (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 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.
The distributional Riesz functional of a subharmonic function is a positive Radon measure
Statement
Assume Dependent Choice. Let be a complex domain and let be subharmonic on , with the distributional Riesz functional of Distributional Riesz measure of a plane subharmonic function. Then:
- for every real-valued with ;
- there is exactly one positive Radon measure on with
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 , a subharmonic , and the conventions of Distributional Riesz measure of a plane subharmonic function; write for Countable Choice.
for every , the value is real for real , the assignment is linear on test functions, it depends only on the almost-everywhere class of , and the normalization gives (Distributional Riesz measure of a plane subharmonic function).
is upper semicontinuous, hence Borel measurable; is not identically on any connected component of ; and satisfies the submean inequality at every closed disc ; 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 , Upper semicontinuous functions are Borel and their circle averages are defined).
For the regular distribution is a distribution on , and with the sign conventions of the distributional Laplacian in the plane one has , where (Locally integrable functions as regular distributions, Distributional derivative, Distributional harmonicity and Poisson's equation on an open subset of Rn).
In ZF, implies : every at most countable family of nonempty sets has a choice function (Dependent choice implies countable choice, The Axiom of Countable Choice (), The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain).
The standard smooth step satisfies , equals on the closed unit ball of and vanishes outside the radius-two ball (Explicit compactly supported smooth cutoffs). Normalizing and rescaling gives kernels with , , and , and under the family is an approximate identity (The mollifier family generated by a unit-mass smooth bump, A unit-mass smooth bump generates an approximate identity).
Assume . If and is a unit-mass smooth bump, the convolution is smooth and every derivative passes under the integral sign (Convolution with a mollifier is smooth, and derivatives pass under the integral sign).
Assume . Let and let be the local convolution on . Then the regular distributions of converge weakly to : for every one has as (Mollifier approximation in distributions).
Distributional differentiation is continuous linear on for the weak topology, in ZF; and, under , for on an open set and one has (Distributional differentiation is continuous and commutes).
A real function on an open subset of is subharmonic there if and only if its Laplacian is pointwise nonnegative (A C^2 function is subharmonic exactly when its Laplacian is nonnegative).
Tonelli's theorem applies to nonnegative product-measurable integrands and Fubini's theorem to integrable integrands on -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).
In ZF, for compact with open there is with and on a neighbourhood of (Test function cutoffs and euclidean localization).
Assume . If is bounded and continuous on , then uniformly on every compact subset ( approximate identities converge uniformly on compacta for bounded continuous functions).
A convergent sequence of reals whose terms are eventually nonnegative has a nonnegative limit (Limits preserve non-strict inequalities).
A compact subset has a positive margin: there is with . If , the complement is nonempty closed and disjoint from , and the positive gap lemma (A compact set and a disjoint closed set have a positive norm-distance gap) gives with for all and , so that and works; if any works.
A real-linear is positive when pointwise implies ; for one has (Positive linear functionals on , A positive linear functional on is monotone).
Nonempty subsets of that are bounded above have a supremum and nonempty subsets bounded below have an infimum, with (Every nonempty set bounded below has an infimum).
Assume . For a positive linear functional on an LCH space , the RMK construction produces a Radon measure on the Borel sets of 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 : for every (Positive functionals on C_c(X) are integration against a Radon measure).
Assume . 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).
Dominated convergence for a general measure: if pointwise almost everywhere and almost everywhere for a single nonnegative measurable with , then (Dominated convergence).
is locally compact ( is locally compact and -compact) and Hausdorff (Distinct points of a metric space have disjoint balls around them); an open subspace of a locally compact Hausdorff space is locally compact (In a locally compact Hausdorff space every point has a neighbourhood base of compact sets, every open subspace and every closed subspace is locally compact, every open set around a point contains an open set with compact closure inside it, and every compact set sits inside an open set with compact closure), and Hausdorffness is hereditary (, , and Hausdorffness are hereditary); hence with the subspace topology is an LCH space.
Proof
Since by [F2], it has a regular distribution on , and [F1] together with [F4] gives for every .
By [F5], yields , which discharges the choice hypotheses of [F7], [F8], [F9] (second clause) and [F13] used below.
The open set , with the subspace topology of , is an LCH space by [F21]: is locally compact and Hausdorff, open subspaces of locally compact Hausdorff spaces are locally compact, and Hausdorffness is hereditary.
Choose from the standard step of [F6] and put : then is nonnegative, has and support in , and under of step 1.2 the family is an approximate identity.
For in the open set define ; this set equals when . It is open: for any of its points, [F15] gives a positive margin for the compact ball inside , and every sufficiently small translate of that ball stays inside . In general the integrand lives on the compact set . For each such , choose a relatively compact open containing and all its sufficiently small translates. Replacing by its product with , extended by zero outside (locally integrable on by [F2]), [F7] and step 1.2 show that with every derivative given by the convolution of against the corresponding derivative of ; the values are finite real numbers, since near .
The mollified function satisfies the submean inequality on : if and , then — for one has , and for the point lies in , so while gives — hence for every ; applying the submean inequality of [F3] at the centre , multiplying by and integrating over with Tonelli and Fubini [F11] applied to the positive and negative parts (the absolute double integral is at most by [F2]) gives .
As the regular distributions of converge weakly to on : the local convolution of [F8] with is exactly on , and because for ; hence for every .
Classical compatibility: for every and every one has . Indeed by step 2.2, so the clause of [F9] applied on the open set to and and added gives there, and only values on are tested.
By step 2.2 the function is continuous and real-valued on , and by step 3.1 it satisfies the submean inequality at every closed disc in ; hence is subharmonic on each connected component of in the sense of [F3].
For any fixed , the compact support of and of lies inside for all sufficiently small by [F15]. On those open domains, the definition of distributional derivatives gives . Step 3.2 applied to the fixed test shows that this tends to . These pairings are local for each ; no distribution on all of is asserted for a locally defined .
By [F10] applied on the components of the open set , step 4.1 gives pointwise on .
Positivity on nonnegative tests: let be real with . Since is compact in the open set , the positive-margin fact [F15] gives with ; then any with satisfies , because for . Fix such an , so that and for every . Steps 1.1, 4.2 and 3.3 give , and each integrand is nonnegative by step 5.1; [F14] therefore gives .
Monotonicity on smooth tests: if are real-valued compactly supported smooth functions on , then is a test function with by step 6.1 and the linearity of [F1]; hence .
For set and . If , put and use [F12] to choose with and on a neighbourhood of ; then pointwise, so and are nonempty; if , then . By step 7.1 every element of is at most every element of , so is bounded above and bounded below; [F17] makes and well-defined real numbers with .
Density of smooth tests for a fixed : let , , choose as in step 8.1, and use [F15] to fix with ; use [F12] again to choose with and on the compact set . For all large put : each is smooth by [F7], supported in , and uniformly on the compact by [F13], and hence on since both functions vanish outside , because is continuous with compact support and on .
Sandwich for the sets of step 8.1: keep and of steps 8.1 and 9.1, and let . Since everywhere and outside , one has pointwise, and both bounds are smooth test functions of the kinds defining and ; applying and using step 7.1 gives . Hence is Cauchy, and with one has for every admissible sequence of smooth functions converging uniformly to with supports in a fixed compact subset of . For set , consistently with step 8.1.
Positivity of : if in , then the zero test function satisfies , so and . If this is step 10.1.
Homogeneity of : for one has , so ; for one has , so by [F17] ; and . Thus is positively homogeneous and .
Extension: if then and , so step 7.1 gives ; hence for every smooth test function.
Additivity of : given and , choose by the definition of the supremum , with and ; then , so , and gives . Dually, choose , with and ; then , so and hence . Therefore is additive; it is real-linear together with the homogeneity of step 11.2.
By steps 11.1, 12.1 and 1.3 the map is a positive real-linear functional on the LCH space in the sense of [F16]; the RMK construction of [F18] therefore produces a Radon measure on with for every .
Representing smooth tests: combining steps 11.3 and 13.1, for every one has ; since is complex-linear, the same identity holds for complex test functions, so represents .
Uniqueness: let be a Radon measure on with for every . For and an admissible sequence as in step 10.1 with common support in a compact , one has by step 10.1, while by [F20], since pointwise and on the compact set of finite -measure. Hence for every , and [F19] gives .
Conclusion: clause 1 is step 6.1, and clause 2 is the existence of 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 . Everything else in the proof is carried out under (mollification, uniform density, classical-distributional compatibility) or in ZF (the sandwich and extension construction, which defines by suprema and infima of fixed sets and therefore selects nothing).
Why the extension is needed at all. The positivity of on smooth nonnegative tests is proved directly by mollification, but the Riesz–Markov–Kakutani theorem consumes a functional on the whole of . The functional is the unique continuous extension of from the dense subspace of smooth tests to ; the argument above avoids selecting approximating sequences by defining as the common value of and .
Compatibility with the point-mass normalization. With on the theorem returns , in agreement with the normalization recorded in Distributional Riesz measure of a plane subharmonic function.
Distributional Laplacian of a compact logarithmic potential
Statement
Assume the Axiom of Countable Choice. Let be a finite positive Borel measure on with compact support , and let and be as in Logarithmic potential and energy of a positive compactly supported measure. Then is locally integrable on , subharmonic on the domain , harmonic on , and
in the distributional sense, that is, for every ; in the normalization of Distributional Riesz measure of a plane subharmonic function this reads .
The zero measure is included and is settled separately: then and by the zero clause of Logarithmic potential and energy of a positive compactly supported measure, the constant is smooth, subharmonic and harmonic on , distributionally and . The proof below therefore assumes ; for a nonzero finite positive Borel measure this holds because carries , 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 with compact support (the zero measure is excluded by the Statement), the potentials of Logarithmic potential and energy of a positive compactly supported measure, and (The Axiom of Countable Choice ()).
is the extended integral of the Borel function against the finite measure , and (Logarithmic potential and energy of a positive compactly supported measure).
For every the function is subharmonic on the whole plane: apply the zero-order factorization theorem to the holomorphic function , which is not identically zero (The logarithm of the modulus of a holomorphic function is subharmonic).
is smooth and harmonic on (Logarithmic modulus is harmonic off its centre).
Every subharmonic function on a plane domain is locally integrable (Plane subharmonic functions are locally integrable).
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).
Assume : the kernel is locally integrable on and its regular distribution satisfies ; for every the translate satisfies (The negative Laplacian of the fundamental solution is the unit Dirac distribution).
Tonelli's theorem for nonnegative product-measurable integrands (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).
Fubini's theorem for product-integrable integrands (Fubini's theorem for L^1 functions on a sigma-finite product).
Fatou's lemma: for nonnegative measurable , (Fatou's lemma).
Differentiation under the integral sign for a parameter integral with an integrable dominating function (Differentiation under the integral sign).
The support of a finite positive Borel measure on carries and is the smallest closed carrier; in particular if and only if , and if is carried by a compact then is compact (Support of a finite Borel measure on the plane).
Proof
By [F11] the support is compact. Fix and put . For one has , so , where . Also . Tonelli and the radial computation give . Thus outside an area-null subset of and almost everywhere; in particular is not identically on the connected domain .
Let and choose with for all and all ; the functions are nonnegative and measurable, so [F9] gives , that is, , because for and for . Hence is upper semicontinuous.
For every the function is subharmonic by [F2] applied to the holomorphic function ; by [F5] it therefore satisfies the circle mean inequality for all and .
Fix , and put ; since on , the extended integral and its reversed iterated integral both equal by two applications of [F7], the difference being well defined because . Integrating the inequality of step 1.3 over and using this identity gives .
By step 1.2 is upper semicontinuous, by step 1.1 it is not identically on , and by step 2.1 it satisfies the circle mean inequality at every closed disc in ; each disc lies in some and the inequality of step 2.1 is exactly the one required by [F5], so is subharmonic on , and [F4] makes it locally integrable.
Let and . On every satisfies , so every partial derivative of order or in of is bounded on by a constant depending only on ; since is finite, [F10] applied to and derivatives lets the Laplacian pass inside the integral, and [F3] gives for . 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 is harmonic on the open set .
Let . If the identity is immediate; otherwise take a nonempty compact set containing and choose . Then uniformly for . Since is bounded on , the integrand is product-integrable on , and [F8] gives . The inner integral is the distributional pairing , which by [F6] equals ; hence for every test function, that is, in the normalization of Distributional Riesz measure of a plane subharmonic function, equivalently and .
Local Riesz decomposition of a plane subharmonic function
Statement
Assume Dependent Choice. Let be a complex domain, let be subharmonic on in the sense of Subharmonic functions on plane domains, and let be open with compact and . Let be the Riesz measure of Distributional Riesz measure of a plane subharmonic function and let be the restriction of Restriction of a measure to a measurable set, extended by zero to : explicitly, for . Then is a finite positive Borel measure carried by , and there is a function harmonic on with
the integral being an element of whose value is allowed. Moreover the pair is unique: if is a finite positive Borel measure carried by and is harmonic on with for every , then and .
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 , a subharmonic on , the Riesz functional of Distributional Riesz measure of a plane subharmonic function, an open with compact and , and Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain).
A function on a complex domain is subharmonic when it is upper semicontinuous, is not identically on any component, and satisfies the circle mean inequality for every closed disc (Subharmonic functions on plane domains).
The Riesz functional is for , real when is real-valued and complex in general; equivalently , where is the regular distribution of (Distributional Riesz measure of a plane subharmonic function).
Dependent Choice implies Countable Choice (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain, Dependent choice implies countable choice), which discharges the choice hypotheses of [F5], [F6], [F7], [F10] and [F13].
Under Dependent Choice, is a positive Radon measure on (The distributional Riesz functional of a subharmonic function is a positive Radon measure).
Assume Countable Choice and let be a finite positive Borel measure of compact support on . Then , with the diagonal value , is locally integrable and subharmonic on , and distributionally, that is, for every (Distributional Laplacian of a compact logarithmic potential).
Under Countable Choice the map from modulo almost-everywhere equality into distributions is injective (Locally integrable functions embed in distributions, Locally integrable functions as regular distributions); and for on an open set one has , while differentiation is linear on distributions (Distributional differentiation is continuous and commutes).
Assume Countable Choice: if with , there is a unique smooth harmonic on with (Weyl's lemma for the Laplacian).
A finite nonnegative linear combination of subharmonic functions on a domain is subharmonic, in particular the sum of two of them; a function with is subharmonic, and a harmonic function is with , 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).
Every subharmonic function on a plane domain is locally integrable (Plane subharmonic functions are locally integrable).
The polar-coordinate formula (under Countable Choice) and Tonelli's theorem give, for a Borel function and a disc , (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).
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 for ; is Borel in , disjoint countable unions stay disjoint under intersection with , and hence countable additivity passes to . Thus is a Borel measure on carried by .
Every connected component of an open subset of is open and polygonally connected (Every connected component of an open subset of is open and polygonally connected); in particular every component of the open set is a complex domain and satisfies .
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
Since is compact and contained in , [F4] and [F11] give ; hence the restriction is a finite positive Borel measure carried by , and in particular carried by .
Let be a connected component of , let be subharmonic on the complex domain , and let . Then for every with by [F1]. For every real , upper semicontinuity gives on for some , hence for . Thus , including , when every real works.
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.
Put with the diagonal value ; by [F5] (with ) the function is locally integrable and subharmonic on and satisfies distributionally, that is, for every .
For uniqueness of the measure let be a finite positive Borel measure carried by and harmonic on with pointwise on , and set , locally integrable and subharmonic with by [F5]. For every , [F2], [F5], [F6] and the representation clause of [F4] give , so and define the same functional on .
Let and be the regular distributions of the locally integrable functions and . For every one has , where the third equality is [F2], the fifth uses that is supported in and , and the sixth is step 2.1 and [F6]; hence in .
Now let be a connected component of the open set ; by [F12] it is open, hence a complex domain, contained in with compact, and is subharmonic on with Riesz functional for every by [F5]. Both and are finite Borel measures on the second-countable LCH space , hence Radon by [F13] under the Countable Choice of step 1.3, and represents the same functional because for every by step 2.2; the uniqueness clause of [F4] applied on the domain therefore gives . Since 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 , so countable additivity gives on every Borel subset of , and both measures are carried by , hence on .
By [F7] applied to the distribution of step 3.1, there is a unique smooth harmonic on with , that is, for every .
The function is locally integrable on by [F9] and step 2.1, and is locally integrable; step 4.1 says that their regular distributions agree. By the injectivity of [F6], almost everywhere on .
On each connected component of , the function is subharmonic: is harmonic and hence subharmonic by [F8], and 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 is subharmonic by [F1] and its local integrability [F9]. Step 5.1 gives almost everywhere on .
For fixed choose with . By step 2.1 and [F9], . Replace their values by to obtain finite Borel representatives ; they agree with almost everywhere and satisfy almost everywhere by step 6.1. Thus is a nonnegative Borel function with almost everywhere. Applying [F10] to on shows that for almost every the restrictions of 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 . Hence for almost every , where .
Let be the full-measure set of radii from step 7.1 for which the circle means agree. Each is nonempty, so Countable Choice [F3] gives for every ; then . By step 1.2, applied to the subharmonic functions and at , . Since was arbitrary, everywhere on , which is the asserted decomposition.
With from step 3.2 we have everywhere on by the decomposition of step 8.1, and is finite almost everywhere because by step 2.1; hence almost everywhere on . The difference is harmonic, hence continuous, on the open set , and an almost-everywhere-vanishing continuous function on vanishes everywhere, since a set of full measure in a nonempty open set is dense; therefore , and the decomposition is unique in both entries.
Remarks
The integral is finite or , never . On the compact carrier of the integrand 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 -integrable at , and at such a point the decomposition forces .
The kernel normalization is what makes h unique. The measure in the decomposition is the restriction of the normalized Riesz measure of Distributional Riesz measure of a plane subharmonic function; the factor is the same one that makes , so the potential has distributional Laplacian exactly .
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 -indexed chain, The Axiom of Countable Choice (), AC implies DC implies countable choice).
Compact case. Let be compact. Then for the logarithmic capacity of Robin constant and logarithmic capacity of a compact set if and only if there are a complex domain with and a function subharmonic on with
Since subharmonicity already excludes 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 .
Compact Evans measure. If in addition and , the witness can be taken of the potential form with a finite positive Borel measure carried by ; then , equivalently , at every .
Specified unions. Let be a specified sequence of compact subsets of and . If for every , then there is a function subharmonic on with for every which is not identically . Conversely, if is subharmonic on a complex domain with and for every , then for every . Here need not be bounded, and the sequence 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 and for every , then the witness can likewise be taken of the potential form with a finite positive Borel measure carried by satisfying at every .
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.
The logarithmic kernel is , equal to exactly on the diagonal; for a finite positive Borel measure with compact support, and , and for the energy is with , independent of (Logarithmic potential and energy of a positive compactly supported measure).
For nonempty compact , and when and when ; also . Hence for nonempty compact : for every Borel probability on , while if and only if some has (Robin constant and logarithmic capacity of a compact set, Probability measures and probability spaces).
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 -indexed chain, The Axiom of Countable Choice (), AC implies DC implies countable choice).
For Borel probability measures on a metric space , means for every bounded continuous real on (Weak convergence of borel probability measures).
Every bounded sequence of reals has a convergent subsequence (Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence).
is countable and dense in , and the rational open boxes form a countable basis for the topology ( is a countable dense subset of , and rational open boxes form a countable basis).
A unital subalgebra of separating points of a nonempty compact metric space is dense for the supremum metric (Real Stone--Weierstrass theorem for compact metric spaces).
Assume Dependent Choice; for LCH every bounded positive functional is integration against a unique finite regular Borel measure, with (Positive C_0(X) functionals have finite regular representing measures). On a compact space every continuous real function vanishes at infinity, so .
Monotone convergence: for measurable with pointwise, (Monotone convergence for the integral).
Tonelli's theorem for nonnegative product-measurable integrands on -finite product spaces (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).
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 the function is subharmonic on , being the log modulus of the holomorphic function , which is not identically zero (The logarithm of the modulus of a holomorphic function is subharmonic).
Assume Countable Choice: the fundamental solution is locally integrable on , i.e. for every ball (The negative Laplacian of the fundamental solution is the unit Dirac distribution).
Assume Dependent Choice: for subharmonic on a complex domain , every open disc with compact admits a finite positive Borel measure carried by and a harmonic on with for every (Local Riesz decomposition of a plane subharmonic function).
Let be a finite positive Borel measure carried by a compact set and let ; if on , then on (Maximum principle for a compact logarithmic potential).
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).
Assume Countable Choice: for finite positive Borel with compact support, is locally integrable on and subharmonic on the domain (Distributional Laplacian of a compact logarithmic potential).
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).
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.
The function is smooth and harmonic off (Logarithmic modulus is harmonic off its centre). A harmonic function is subharmonic by the 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
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].
The case : by [F2], and the constant function is subharmonic on the complex domain by [F11] with empty locus, so every empty compact set is the locus condition holds vacuously; conversely the condition holds by convention. So the compact equivalence is true for , and below is assumed nonempty.
Now assume compact with . Choose with , put and , so that and is nonnegative on and exactly on the diagonal. For every one has, by [F1] applied with this , , and by the characterization [F2] of ; hence for every Borel probability on .
Let be nonempty compact and let be a sequence of Borel probability measures on . It will be shown that some subsequence converges weakly to a probability on . By [F6] enumerate the rational boxes as ; applying Countable Choice of [F3] to the at-most-countable family when this is nonempty and for a fixed otherwise gives points , and is countable. It is dense in : if is open and , [F6] gives a rational box with for some , so .
With and as in step 1.3, for put and for . Each is continuous and bounded on , and is weakly continuous: the unital algebra of finite sums separates points of the compact metric space , so it is uniformly dense in 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 .
Let be the -algebra generated inside by the constant function and the functions , ; being generated by countably many elements, is countable, so fix an enumeration . is uniformly dense in : its closure is a closed -subalgebra containing the generators, those generators separate points of (for choose with , then ), so contains the unital algebra generated by the generators, which is all of by [F7].
Successive subsequences are chosen by Dependent Choice. A state is a pair with and strictly increasing, and is related to when for a strictly increasing and the real sequence converges. The relation is entire: is bounded by , so [F5] supplies a strictly increasing making it converge. Starting from , Dependent Choice yields states with a subsequence of , and the diagonal is strictly increasing; for every the sequence converges, since for it is a subsequence of the convergent sequence along .
For and step 2.2 gives with , and then shows that the -integrals are Cauchy; define . Limits of integrals against probability measures give that is linear, positive, and .
The compact metric space is LCH and , so [F8], whose hypothesis is Dependent Choice, represents as integration against a unique Borel probability measure on ; by [F4] this says . This proves the claim of step 1.4.
The infimum is attained. By Countable Choice [F3] choose with for all . Fix ; step 5.1 applied to the sequence give a weakly convergent subsequence with limit , and weak continuity of from step 2.1 gives . Hence the set of minimizers of is nonempty for every , and Countable Choice selects one minimizer for each .
The sequence is nondecreasing and . Monotonicity is immediate from . If for all , take minimizers from step 6.1 and apply step 5.1 to to obtain a weakly convergent subsequence . For fixed , whenever one has , so weak continuity of gives ; monotone convergence [F9] for then gives , contradicting step 1.3.
First variation at an exact minimizer. Let , let and let be a minimizer of . For the measure is a probability on , and expanding the double integral gives , where and . Since , dividing the inequality by and letting gives , that is for every .
For let , finite by step 7.1, and by Countable Choice choose minimizers ; the measure is a finite positive Borel measure on with by [F15]. For the potential of against the shifted kernel satisfies .
For , , because holds for and both sides are at . The measure is finite with compact support , so [F16], whose hypothesis Countable Choice is available by step 1.1, makes locally integrable and subharmonic on the complex domain ; in particular is not identically . This proves the forward direction witness for nonempty compact .
Conversely, let be compact, let be a complex domain with , and let be subharmonic on with for every . Suppose . Then by [F2], so there is with . Fix and put and for finite . Then . For put on . This is continuous and bounded, and monotone convergence gives for . Each truncated integral is continuous on , so is lower semicontinuous there. Hence for every real the set is closed in , and for it has positive measure: , since on and on . Fix such a and put , the restriction of to the measurable set (Restriction of a measure to a measurable set), a nonzero finite positive measure with because is closed. For , , since on . Cover by finitely many open discs whose closures lie in and whose radii are less than : such discs cover because is open and , so compactness gives a finite subcover. Then , and since some satisfies . Put , a nonzero finite positive measure with ; for one has because and . Thus on , and the maximum principle [F14] (applied to the nonzero measure ) gives on all of , that is, everywhere. On the disc the Riesz decomposition [F13] gives a finite positive measure carried by and a harmonic on with there. Since on and is finite there, for every , hence on , which has -measure ; therefore , and since also . Tonelli [F10] computes the same product integral in the other order: , because everywhere and is finite. This contradiction gives , the converse implication.
For the extension, let be a specified sequence of compact subsets of with for every , and put . For each with , step 9.1 apply to and yield a finite positive measure carried by with for every ; for put . Countable Choice selects the family .
With and for , and otherwise, set and . Then is a finite positive Borel measure with and ; in particular the logarithmic moment of is finite.
Put . If for some with , then because , while the term contributes : indeed by step 10.2 and since is finite with compact support. Hence and ; that is, on .
Local integrability: there is for every compact a constant with for every . Indeed, if then ranges over a fixed bounded region and the integral is bounded by for a suitable ball by [F12]; if is larger then on , so and the bound follows with . Tonelli [F10] with the nonnegative integrand and the finite measure therefore gives , so ; in particular is finite Lebesgue-a.e. and is not identically on the domain .
Fix and split on , where is its restriction to and its restriction to . The measure is finite with compact support, so is subharmonic by [F16]. For and in the tail one has ; the logarithmic moment from step 11.1 makes integrable against , and its first and second derivatives in are bounded on this disc by constants because the distance is bounded below by . The kernel and all its derivatives are Borel in and smooth in away from . The bounds on derivatives of orders one and two are integrable constants because 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 . Hence is harmonic on and is subharmonic there by [F19]. Each closed disc is contained in one of these discs, which exhaust , so is upper semicontinuous and satisfies the circle mean inequality locally on ; it is not identically by step 12.2. Thus is subharmonic on by [F11] and is on by step 12.1.
Conversely to the forward direction of steps 10.2–13.1, if is subharmonic on a complex domain with and on , then every is a nonempty or empty compact subset of the domain ; for nonempty , step 10.1 applied to give , and empty pieces have capacity zero by [F2].
Assembling: step 1.2 and step 9.1 give the compact forward direction, with the witness of step 8.1 and on by step 9.1; step 10.1 gives the compact converse; steps 10.2–13.1 give the witness of step 11.1 for a specified union of compact capacity-zero sets, with on 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.
The principle of descent and the logarithmic domination principle
Statement
Assume Dependent Choice.
(a) Principle of descent. Let be nonempty compact, and let be finite positive Borel measures on with weakly. Then
(b) Logarithmic domination principle. Let be finite positive Borel measures on with compact support, with and let . If holds -almost everywhere, then it holds everywhere on .
In (b) the hypothesis and the conclusion are respectively equivalent to -a.e.\ and everywhere, where is the subharmonic normalisation of Logarithmic potential and energy of a positive compactly supported measure. The hypothesis cannot be dropped: for and the exceptional-set hypothesis is vacuous while is false.
Facts & Assumptions
Given: Dependent Choice and the potential, energy and Riesz-measure conventions of Logarithmic potential and energy of a positive compactly supported measure, Distributional Riesz measure of a plane subharmonic function and The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain.
For a finite positive Borel measure with compact support, with and diagonal value , , and computed from the shifted nonnegative kernel with , the value being independent of the admissible (Logarithmic potential and energy of a positive compactly supported measure). If and , then .
Let be nonempty compact and let be Borel probability measures on with ; then for every and . No choice principle is required (Lower semicontinuity of logarithmic potential and energy).
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).
Assume Dependent Choice. For subharmonic on a complex domain the Riesz functional is nonnegative on nonnegative test functions, and there is exactly one positive Radon measure on , again written , with for all ; it is called the Riesz measure of (Distributional Riesz measure of a plane subharmonic function, The distributional Riesz functional of a subharmonic function is a positive Radon measure). For one has , and for one has , because is linear.
Dependent Choice implies Countable Choice, and in particular supplies the Countable Choice assumed by Weyl's lemma (AC implies DC implies countable choice).
For every finite positive Borel measure of compact support the normalised potential is subharmonic on and is real-valued off a polar set (Distributional Laplacian of a compact logarithmic potential).
Guedj-Zeriahi, §1.1 identity (1), states the bounded plurisubharmonic contact identity in the sense of Borel measures; in dimension one its 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 .
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 and open , and (Radon measure on an LCH space).
Every subharmonic function on a complex domain belongs to (Plane subharmonic functions are locally integrable).
Tonelli's theorem for nonnegative product-measurable integrands on -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].
Assume Countable Choice. If and , there is a unique smooth harmonic with (Weyl's lemma for the Laplacian).
Let be harmonic on a domain , . Then either or for every (Nonnegative harmonic function with an interior zero vanishes).
Assume Countable Choice: for the unit circle with its surface measure and every Borel function one has , which with the parametrisation reads (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).
A real function on an open subset of is subharmonic if and only if its Laplacian is throughout; since plane harmonic functions are by definition 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).
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).
Translation is continuous in and Minkowski's inequality holds for integrals, under Countable Choice ( in as , for , Minkowski's inequality for integrals, including ).
Weak derivatives and use the test-function conventions of Weak derivative of a locally integrable function and Integer-order Sobolev spaces and their norms. Also, is dense in ; 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 ( is dense in for , with the integral pairing is a Hilbert space, Riesz representation for Hilbert spaces).
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).
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
Local Sobolev and strict-contact facts under DC
Write for area measure and for the Riesz measure. Use the radial unit-mass mollifier with chosen so that . The profile is smooth, radial, and nonincreasing. All mollifications below are taken on a safe interior of the relevant domain.
For a subharmonic , let Integrating its circle-mean inequality in the radius gives when is finite. If , upper semicontinuity bounds above by any prescribed real number on a sufficiently small disk. For finite , upper semicontinuity gives, for each , an such that for every . Thus for all such , and . The layer-cake formula for a radial decreasing density is If is finite, choose ; every average in this weighted mean lies between and , so the convolution does too. If , upper semicontinuity bounds by any real on a sufficiently small disk, so every average in the weighted mean is at most . Consequently the actual upper-semicontinuous representative satisfies pointwise, including at values. This pointwise fact will be used against Riesz measures, including at points where a finite-energy potential equals .
If is locally bounded above and below and subharmonic, then has by [F15]. For a smooth cutoff supported in a fixed compact set, choose above on a fixed neighborhood of its support and let uniformly bound there. Integration by parts, with , and Young's inequality give The first term is bounded by the Riesz mass on a fixed compact neighborhood, and local boundedness makes uniform. Hence is bounded in local . Pointwise convergence and local boundedness give in local . For a smooth test on a smaller disk, the weak derivative functional is bounded by To use [F17] on that disk, exhaust it by concentric closed subdisks, extend each truncated function by zero, approximate by a compactly supported continuous function on , 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 space. The Hilbert-space representation in [F17] therefore gives an weak derivative. Thus .
For any , localization by a smooth cutoff, [F16], and Minkowski's inequality show that strongly in local . Weak derivatives commute with convolution on a safe interior by the direct test calculation No full-Choice Sobolev chain-rule supplier is used.
For smooth whose derivative is bounded and Lipschitz, approximate strongly by smooth mollifications. Classical differentiation and the estimate prove . For the second term, split into and its complement, then use the Lipschitz bound on the first part and convergence in measure plus absolute continuity of on the second. The same estimate proves strong local convergence under this composition. Choose smooth with on and on , put and . Then , the derivatives are uniformly bounded, and (with value at ). Dominated convergence therefore gives
We now prove the bounded plane strict-contact identity. Let be locally bounded above and below subharmonic functions, put and . The preceding bound gives , and the positive-part formula gives almost everywhere on . Fix and choose smooth with , for , and for . Put . Its gradient vanishes where ; where the displayed gradients agree. Thus For use smooth tests . Strong local convergence and the scalar chain rule give strongly in ; pointwise convergence of the radial mollifications gives pointwise convergence to the actual , and . For each the distributional Riesz identity and integration by parts give Strong convergence on the right and dominated convergence against the locally finite Radon measure on the left pass this identity to . Subtract the identity from those for and , use the gradient equality, and then let . Since , dominated convergence gives, as Borel measures, To pass from smooth tests to , extend any function by zero and convolve it with ; uniform continuity gives uniform convergence, and small keeps the supports in a fixed compact subset of the domain. For a Borel contact set , let . It is finite on compact sets because . It is inner regular on every Borel set : take a compact exhaustion of the plane domain. For fixed and , outer regularity of gives an open with . Then is compact in , and . Letting and then exhausting the domain proves inner regularity on ; the countable selections are supplied by DCCC. To get outer regularity, suppose and choose a relatively compact open exhaustion of the domain. By the inner regularity just proved, choose compact with . The open set contains and satisfies . If , outer regularity is automatic. Thus is Radon. Smooth compactly supported functions are uniformly dense in by zero extension and convolution with on a safe interior. Therefore [F19] identifies the restricted measures from their 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 be finite positive with compact support , mass and , and write . For a compact plane set , Tonelli and the local integrability of uniformly for show that for area-a.e. . Jensen [F18] then gives Thus . Put and ; Fubini justifies the last identity because the logarithm is locally area-integrable on the compact sets involved. The convolution is radial and has mass one. The circle-mean calculation follows by factoring out the larger radius and averaging the logarithm series, with the boundary case obtained by its integrable limit. Hence for . Choose and , so the shifted kernel is nonnegative on all smoothed supports. Tonelli gives On , , so For a fixed smooth cutoff , integration by parts and give The last term is uniformly bounded by Jensen's inequality applied to and on a slightly larger compact set. Thus is uniformly bounded in local . Approximate identity convergence from [F16] gives in local ; the bounded-functional and Hilbert-space argument above then produces the weak derivatives of in local . Consequently every finite-energy logarithmic potential belongs to under DC.
The same strict-contact test proof also applies to a finite-energy subharmonic and a smooth finite-valued subharmonic obstacle : then , and at points where the radial mollifications tend to while stays finite. Define ; 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 , Indeed , so polar integration gives ; the form extends smoothly over infinity using the coordinate . Here is a local potential on the affine chart. An -psh function is an upper-semicontinuous locally integrable function on such that is subharmonic in every chart with . Its ordinary current is a positive Radon measure: the local Riesz measures agree on overlaps. Its total mass is one, since on the compact surface and . These statements use the local Riesz-measure interface [F4] and the finite-atlas gluing just described.
For bounded -psh , adding a chart potential turns them into locally bounded subharmonic functions. The bounded plane identity above then gives globally on The strict set is Borel: for extended-valued upper-semicontinuous functions, .
For any -psh , put , and . Each is positive and has mass one. For , apply the bounded identity to ; since and , it gives Thus increases. Define the nonpluripolar truncation limit and the full-mass class Since , this definition is equivalent to
If , stabilization gives ; the complementary tails of both measures have mass . Consequently
For , this total-variation limit is Radon: given a Borel set, approximate it from outside by an open set for a sufficiently close Radon ; the total-variation error transfers the outer-regularity estimate to . For an open set, approximate it from inside by a compact set for and transfer the estimate in the same way. The ordinary current is this same measure. Indeed and almost everywhere, so dominated convergence gives in on every chart. Hence distributionally. By (2), the same sequence converges in total variation to . The two limits therefore agree on smooth tests, and uniqueness of the local Riesz measure in [F4] gives
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 , the bounded contact identity applied to gives stabilization on . Thus changing every level by a fixed constant leaves the truncation limit, condition (1), and membership in unchanged.
We need that is upward closed. First derive bounded comparison. For bounded -psh , put . On one has , and on one has . Since has mass one, Apply this to and let ; the strict sublevel sets increase to , giving
For , apply (4) to and . Let and then . The indicators converge pointwise, and (2)-(3) give total-variation convergence of both truncated currents, so
Now suppose and for an -psh . By the constant-shift observation, shift both down so . Put , and . Since , the Borel sets satisfy : on the first set , and the second inclusion follows from . Apply (5) to the bounded pair ; adding a constant leaves the current unchanged. Then For the equality, and agree on by stabilization and both have mass one. Hence by (1). Since , These are the even-index tails in (1); the tail masses are decreasing, so all tails tend to zero and . This proves upward closure.
Finally let and let be any -psh function, with no lower bound and no finiteness assumption on its current. Upward closure gives . Define and , . Then and . Bounded contact gives , hence for every Borel , By (2)-(3), and in total variation. Passing to the limit proves the exact Borel measure identity
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 on arbitrary Borel sets.
Descent clause: let be nonempty compact and finite positive Borel measures on , with and . Testing weak convergence against gives . If , then . For fixed , set ; then on , so . Put ; then on , so . If , choose so for all and define for that tail and . Then . Applying [F2], and using , gives both inequalities after rescaling: for each fixed the values are uniformly bounded below and may be , so multiplication by positive scalars converging to preserves their extended liminf; the energies are uniformly bounded below by , so multiplication by likewise preserves the energy liminf. Since and for , the desired inequalities follow.
Domination setup: let be finite positive Borel measures with compact support, , , , , and assume -a.e.; put and , so that -a.e. and, by [F6], [F3] and the scaling in [F4], and are subharmonic on , with Riesz measures and . With the shifted kernel is nonnegative on the product of that compact carrier and [F1] gives ; by Tonelli [F10] the nonnegative function is finite for -a.e. , hence so is , which differs from it by the constant , and therefore and are finite -a.e. Put , and , ; for one has , hence the uniform far-field estimates and .
Agreement lemma: if are subharmonic on and equal area-a.e., then they agree everywhere. For each center and radius , their disk averages are equal because the functions agree a.e. and are locally integrable by [F9]. Integrating the circle submean inequality in the radius gives when is finite; upper semicontinuity gives for every once is small. Hence . If , upper semicontinuity gives the same upper bound for every real , so the disk averages tend to . Equality of the disk averages therefore gives , including where both equal .
Compactify the potentials to use (6). Set , and on put and . In the coordinate near infinity, The integrals are smooth and harmonic for sufficiently small . In the infinity chart , so adding the local Fubini--Study potential to cancels the smooth curvature term and leaves the first harmonic integral; has no mass near infinity. For the local potential has the form plus a harmonic function, so it is subharmonic there and contributes the atom . The ordinary currents are The atom at infinity is the residual mass; no measure domination is used.
Let . This is Borel by upper semicontinuity. For with , put . Then and, by finite energy and Tonelli, Since on , it follows that , so .
For and , write . On , The finite-energy estimate above gives ; the one-obstacle strict-contact proof therefore gives on . For all sufficiently large , contains a neighborhood of infinity and there, so this equality holds on all of . The truncation measure consequently equals and has mass one. Thus . The constant-shift property proved above gives for every . [F1, F3, F4, F5, F6, F8, F9, F10, F13]
For put and . The set is Borel because and upper-semicontinuous functions are Borel. By [F3], is subharmonic and equals on . By step 1.2, is finite -a.e. Outside the union of that null set and the null set in the hypothesis, if then , contradicting . Hence , so is nonempty.
Apply (6) with and . On , the strict set is and . Restricting (6) to yields the exact Borel measure identity [F15, F16, F17, F18, F19]
Mass at infinity: let , which is a positive Radon measure by [F4]. Choose a smooth equal to on a neighborhood of and supported in ; such a cutoff is constant near zero. Put . It is smooth at the origin, equals on and is supported in , so The derivatives of are supported in a compact annulus where is locally integrable, so is absolutely integrable. Apply [F13] to its positive and negative parts. By the Riesz definition this gives where . By the far-field estimates in step 1.2, uniformly for all sufficiently large , where if after the eventual dominance crossover, and if ; the far-field estimates give on this tail. The function is supported away from zero and satisfies by integration by parts and , . Consequently There is no extra factor in this last error term: the angular factor cancels the Riesz normalization. The cutoff sandwich and continuity from below now give .
By the inline compactification and truncation argument in step 1.4, for every Borel . Since by step 2.1, for every such positivity of gives Hence as measures.
Combining steps 3.1 and 2.2, and ; hence : for every Borel , , where the outer inequality is step 3.1.
By [F9], both and are finite outside an area-null set. Define on this common area-conull set and on its complement. Then , because a.e. and . Equality of Riesz measures from step 4.1 gives . Weyl's lemma [F11], with its Countable Choice premise supplied by [F5], gives a harmonic with a.e.; continuity and a.e. imply everywhere.
The functions and 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 everywhere. Choose , which is nonempty by step 2.1. Here is finite, because cannot be strictly greater than a subharmonic value. Since , the equality gives . By [F12], the nonnegative harmonic function vanishes identically. Hence everywhere and on .
Step 1.1 proves assertion (a). For (b), step 6.1 gives everywhere for every ; letting gives everywhere, that is , equivalently everywhere, which is assertion (b).
Remarks
Why the mass condition and the finite energy are needed. The hypothesis is what makes the growth of equal to with the normalised leading coefficient , and it supplies the residual atom in the compactification. It is a total-mass condition; no measure inequality is used. The finite-energy assumption on is used for its -a.e. potential finiteness, the local estimate, and the full-mass truncation identity. No finiteness of is required, so may have atoms and infinite logarithmic energy.
Where the domination is spent later. The principle is the standard -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 estimates, scalar Sobolev composition, and tests supported on the strict-contact set. Finite energy places 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.
Green function with a pole at infinity
Definition
Let be compact and nonpolar, meaning that 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 is not capacity-polar. Such a is nonempty, the complement 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
By A complex domain is a nonempty connected open subset of , is a complex domain, and because is disjoint from it. It is called the exterior domain of . Its boundary (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 : indeed , and it is called the outer boundary of . Every point of is a finite point of ; the point is not part of it.
Since , the Robin constant of is a real number, (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 with pole at infinity and Robin constant is a function with the following four properties.
-
Positive and harmonic. for every , and is harmonic on .
-
Logarithmic normalization at infinity. Writing for the natural logarithm and for the modulus,
meaning: for every real there is a real such that for every with . Because is unbounded, this condition is never vacuous.
-
Local boundedness near finite boundary points. For every there is a real with
-
Zero boundary limit quasi-everywhere. There is a Borel capacity-polar set such that
That is, has boundary limit quasi-everywhere on the outer boundary, in the sense of Capacity-polar sets, quasi-everywhere, and subharmonic polar sets applied to the compact conductor .
Notation. If a Green function with pole at infinity and Robin constant exists and is unique under properties 1–4, that unique function is written
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 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 and the additive constant at infinity. This is not the published finite-pole canonical Green kernel of The canonical Green kernel of a plane domain, whose pole is a point and whose local form is with harmonic across . 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 .
Why the boundary limit is only quasi-everywhere. For a general compact nonpolar 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 at every boundary point would exclude the model function 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.
Green function at infinity from the equilibrium potential
Statement
Assume the Axiom of Choice. Let be compact with , let be the unbounded connected component of , let be the equilibrium measure of , and let be the Robin constant. Define
Then:
- Existence, uniqueness and the notation . satisfies properties 1-4 of Green function with a pole at infinity, and every function satisfying properties 1-4 equals . In particular the Green function with pole at infinity exists, is unique, and
- for every , and is harmonic on the complex domain .
- as with .
- For every there is a real with .
- Call regular when and irregular otherwise, the convention of Saff, Definition 3.3. Then no value being imposed at irregular points; the irregular points of form a Borel capacity-polar subset of , so has boundary limit quasi-everywhere on 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 with , its equilibrium measure , the exterior domain (the unbounded connected component of ) with boundary , the Robin constant , 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 .
For a finite positive Borel measure of compact support, with , the diagonal value being , and (Logarithmic potential and energy of a positive compactly supported measure).
For nonempty compact one has and when and when ; hence is equivalent to (Robin constant and logarithmic capacity of a compact set).
Assume the Axiom of Choice: every nonempty compact with has exactly one equilibrium measure , and (Existence and uniqueness of the equilibrium measure); the Axiom of Choice implies Dependent Choice, which implies Countable Choice (AC implies DC implies countable choice).
Assume the Axiom of Choice: for compact with the equilibrium potential satisfies for every , and on outside a Borel capacity-polar set which is a countable union of compact sets of capacity zero (Frostman inequalities and quasi-everywhere equilibrium equality).
Assume Countable Choice: for a finite positive Borel measure of compact support, is locally integrable on , subharmonic on the domain , and harmonic on (Distributional Laplacian of a compact logarithmic potential).
If is compact, then has exactly one unbounded connected component and every other component is bounded; whenever satisfies , the exterior 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 ).
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).
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).
A real-valued function is harmonic when it is with vanishing Laplacian (Plane harmonic functions); a function is subharmonic exactly when its Laplacian is (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.
Assume Dependent Choice, hence Countable Choice. Let be a specified sequence of compact subsets of with for every and . If there is a finite positive Borel measure carried by with for every (Compact capacity-zero sets and subharmonic minus-infinity loci).
A Green function of with pole at infinity and Robin constant is a function that is positive and harmonic on , satisfies as , is locally bounded near every point of , and has boundary limit outside a Borel capacity-polar subset of ; when existence and uniqueness hold the function is written , and the outer boundary is a compact subset of (Green function with a pole at infinity).
A Borel probability measure on is carried by , and the support of a finite positive Borel measure is closed, carries the measure and is contained in when the measure is carried by the compact (Probability measures and probability spaces, Support of a finite Borel measure on the plane).
A point lies in the boundary exactly when every ball about meets both and its complement, and (Interior, closure, boundary, limit point, isolated point and dense subset of a metric space).
A subset of is compact exactly when it is closed and bounded (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line), and a continuous real function on a nonempty compact metric space is bounded and attains its extrema (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value).
Assume Countable Choice. The space with the Euclidean metric is complete ( and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in ) and separable, since is at most countable ( is countably infinite, A product of two at most countable sets is at most countable) and dense: for and the density of in (The rationals embed densely in the reals) gives rationals with , and ( as the set of functions , and , , are metrics on it); hence , and therefore under the identification used in Logarithmic potential and energy of a positive compactly supported measure, is Polish (Polish spaces are separable completely metrizable spaces). Moreover, if is Polish and is a Borel probability measure on , then for every Borel and every there is a compact with (Assuming countable choice, Borel probability measures on Polish spaces are inner regular).
Proof
By [F3] the equilibrium measure is a Borel probability measure on with and ; by [F12] it is carried by , and its support is a nonempty compact subset of with . By [F2], . By [F6] is the unique unbounded connected component of , every other component is bounded, and whenever ; by [F11] is a nonempty complex domain with compact and , so for every .
Let be a finite positive Borel measure of compact support . By [F5], whose Countable Choice hypothesis is available by [F3], the function is harmonic on ; by [F9] the function is harmonic there too. Since , every such is harmonic on ; in particular is harmonic on .
Far-field expansion. Let be a finite positive Borel measure of compact support ; the case is trivial, so assume and put . For and one has and therefore ; integrating against gives so in particular as .
Finite-energy measures annihilate Borel polar sets. Let be a Borel capacity-polar set and let be a finite positive Borel measure of compact support with ; then . Indeed, suppose , put and apply [F15] to the Borel probability measure on the Polish space , the Borel set and : there is a compact with , so . Put and choose a real ; then on and , so by [F1] and , , whence . By [F2] , so by [F2], contradicting , which holds because is a compact subset of the capacity-polar set by [F7].
Applying step 1.3 to and from step 1.1, together with , gives
The function is harmonic on , because the constant and are harmonic there by step 1.2 and [F9].
By [F4], on all of ; hence on , and also for every .
Countable unions of Borel polar sets are polar. Let be a sequence of Borel capacity-polar sets and let be compact with ; if then by [F2] there is a Borel probability measure on with (choose with ), while step 1.4 gives for every , so by countable additivity, contradicting ; hence , and is capacity-polar in the sense of [F7].
on . Indeed, if for some , then is an interior minimum point of the harmonic function on the domain , so is constant on by [F8]; but step 2.1 gives as along , a contradiction.
Local boundedness. Let . By [F1] and steps 1.1 and 2.3, satisfies ; by [F5] the function is lower semicontinuous, so is an open set containing and there is a real with for all . For we then have and by step 2.3, so the supremum in property 3 of [F11] is finite.
Regular points and the quasi-everywhere boundary limit. Let with . By [F5] is lower semicontinuous, so , while step 2.3 gives ; hence and as . By [F4] there is a Borel capacity-polar set which is a countable union of compact sets of capacity zero with on ; since by [F11], every point of is regular, so has boundary limit outside the set , which is Borel and, being a subset of the capacity-polar set , capacity-polar by [F7].
The difference of two candidates. Let satisfy properties 1-4 of [F11] and put . Then: (i) is harmonic on , by property 1 for , step 2.2 and [F9]; (ii) as with , because property 2 for and step 2.1 give and ; (iii) for every there are and a real with for all : by property 3 for and step 3.2 choose with and on ; then using from step 2.3, and using from property 1, so ; (iv) writing as in step 3.3 and for the exceptional set of property 4 for , the set satisfies , a countable union of Borel capacity-polar sets, because each is a compact subset of the capacity-polar set (a compact set with ) and is Borel capacity-polar; hence is capacity-polar by step 2.4, and as for every , because then gives by property 4 and gives by step 3.3.
The bad set. For put and put , so that with . The function is upper semicontinuous on : if pick with and with for all with ; then for with and with one has , so and is relatively open in . Hence each , the intersection of the closed set with the compact set , is compact by [F14]. Finally for the capacity-polar set of step 4.1: if then at by step 4.1(iv), so and ; hence for every by [F7].
Since is a specified sequence of compact sets with and union , [F10] applies with its Dependent Choice hypothesis supplied by [F3]: if there is a finite positive Borel measure carried by with for every ; if take . Put , so that exactly when .
The barrier. Put and choose ; then and is compact with for . The function is bounded below on and finite at every point of (where ): for with and one has , so by [F1] , while by step 2.3; and for step 1.3 applied to (trivially when ), together with from step 2.1 multiplied by , gives for all sufficiently large . Put and Then is harmonic on by steps 1.2 and 2.2 and [F9]; as by steps 1.3 and 2.1; and for every one has , because is lower semicontinuous by [F5] with and is bounded below.
Nonpositive boundary behaviour. Let and put , harmonic on by steps 4.1 and 7.1 and [F9]. Then: (a) for , , because by step 7.1 and is finite by step 4.1(iii); (b) for , , because forces at and by step 7.1; (c) as with , , because by step 4.1(ii) and by step 7.1.
Maximum principle. Fix and choose large enough that whenever and , possible by step 8.1(c) and the fact that is unbounded so . By step 8.1 and compactness of , finitely many boundary neighborhoods cover on which ; the set outside their union is compact and lies in , so continuity bounds there. Together with the negative tail this proves . Since is nonempty and is real-valued, . Assume for contradiction that . For each step 8.1 gives , so there is with on ; since is compact by [F11], finitely many of these balls cover , and their union is an open neighbourhood of with on . The set equals , is closed and bounded, hence compact by [F14], and satisfies because and every point of lies in by [F13]. Every point of lies in or satisfies , and at such points ; hence , and the continuous function attains the value at some by [F14]. Since is harmonic, hence subharmonic, on the domain by [F9], [F8] forces to be constant on , contradicting for ; therefore , that is on .
Uniqueness. Step 9.1 gives on for every , hence on ; the same argument with the roles of and interchanged gives on , because 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 of step 3.3), while satisfies them by hypothesis, so steps 4.1, 5.1, 6.1, 7.1, 8.1 and 9.1 apply verbatim to with the same set and the same barrier . Hence and on : a Green function with pole at infinity is unique, and it equals .
Assembly. Step 3.1 gives positivity and step 2.2 harmonicity, so 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 that is Borel (intersection of the compact set with the Borel set of [F4]) and capacity-polar as a subset of by [F7]. Step 10.1 shows that every with properties 1-4 equals , so the notation of [F11] is licensed with on . 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: is regular for exactly when . 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 to the boundary limit , together with the statement that the remaining points of are capacity-polar. No value is asserted at the irregular points, and in particular no claim is made that the Dirichlet problem for is solvable there.
Where the boundary regularity of comes from. The two ingredients are the global inequality 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 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 alone does not let the maximum principle act directly on : 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 . The Evans measure of step 6.1 produces a harmonic function whose limit is at every boundary point where the difference fails to tend to . Its limit may also be at other boundary points: there the difference tends to and suffices for step 8.1(b). The logarithmic growth of is cancelled by , so has a finite limit at infinity; the maximum principle can then be applied to for every . 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 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.
Fekete points and the transfinite diameter of a compact set
Definition
Let be compact and nonempty, let be an integer, and write for the -fold product with the product topology. For set
The formula for is the Vandermonde product, whose polynomial form in indeterminates is The Vandermonde polynomial ; only the numerical function on is used here. Each factor 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 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 (Conjugation is an involutive real-field automorphism, , 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, , and modulus is definite, multiplicative, and subadditive); the product of finitely many compact spaces is compact (A product of finitely many compact spaces is compact in the product topology), and . Hence and the composition
attain greatest values on (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value). The -th Fekete diameter of is
equivalently , because is increasing on and the root is the nonnegative one (Existence and uniqueness of -th roots: a unique with ). The exponent is the reciprocal of the number of unordered pairs, so that scales like a length. A tuple at which the maximum is attained is an -point Fekete tuple of , and its entries are -point Fekete points.
To a Fekete tuple one associates its monic Fekete polynomial
a monic polynomial of degree in the conventions of Formal complex polynomials, evaluation, degree, leading coefficient, and monic polynomials: each factor is monic of degree , and degrees add and leading coefficients multiply under multiplication over the integral domain (Over an integral domain, degrees add under multiplication of nonzero polynomials), by induction on .
The transfinite diameter of is
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 . Whether the sequence is nonincreasing, and whether 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 has at least one -point Fekete tuple for every ; no uniqueness is claimed, and no tuple is selected by the definition. The quantity is unchanged by permuting the entries, since a permutation permutes the factors , so every permutation of a Fekete tuple is again one, and is order-independent.
Sign and positivity. always, and holds exactly when has at least points: with distinct points of the product is positive, while a tuple with two equal entries has . In particular is the diameter of , the exponent recovering the unnormalized maximum of .
Scaling. If and , then and : the normalization by the number of pairs is exactly what makes the -th Fekete diameter a length. Consequently 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 is a set-theoretic construction on a fixed set of reals.
Monotonicity of the Fekete diameters and the transfinite diameter
Statement
Let be nonempty and compact, with the Fekete diameters and transfinite diameter of Fekete points and the transfinite diameter of a compact set. Then
the sequence therefore converges, and
No choice principle is used.
Facts & Assumptions
Given: a nonempty compact and the quantities , , , and Fekete tuples of Fekete points and the transfinite diameter of a compact set.
For and one has and ; the maximum of over the nonempty compact is attained and ; and (Fekete points and the transfinite diameter of a compact set). In particular for every , because is increasing on and is the reciprocal of .
and for all , and exactly for (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
Every has a unique -th root , the map is strictly increasing on for , and for one has exactly when (Existence and uniqueness of -th roots: a unique with , Monotonicity of and of ).
A monotone sequence of reals converges if and only if it is bounded (A monotone sequence converges if and only if it is bounded).
If a sequence of reals converges to and for all , then ; if for all , then (Limits preserve non-strict inequalities).
If is nonempty and bounded below, then is a lower bound of and no larger lower bound exists; in particular a lower bound of equals when every lower bound is (Greatest lower bound (infimum), Every nonempty set bounded below has an infimum).
Proof
Fix and a tuple . For let be the -tuple obtained by deleting the -th entry of . Each lies in , so by [F1] is at most ; that is, .
Expanding the factors by [F1] and [F2] gives ; the unordered pair contributes the factor for exactly those , that is for of the indices , so the last product equals , the last equality again by [F1] and [F2].
Multiplying the inequalities of step 1.1 and substituting step 2.1 yields for every . Taking the maximum over and using that is increasing on together with [F3] gives , since is the exponent obtained from . The common exponent is a positive integer (as ), so [F3] applied to the two nonnegative numbers and gives .
The sequence is nonincreasing by step 3.1 and bounded below by because by [F1]; hence it converges, with limit , by [F4]. Since for all , [F5] applied to the tail from gives for every , so is a lower bound of ; and if is any lower bound of that set, then for every and [F5] gives . Thus is the greatest lower bound and by [F6] and [F1].
Combining steps 3.1 and 4.1, for every and , which is the statement.
Remarks
Where the normalization enters. The exponent in the definition of is exactly what makes the exponents on the two sides of step 3.1 agree: the pair-count of the -tuple side equals the pair-count of the -tuple side, both equal to .
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.
Fekete–Szegő equality of logarithmic capacity, transfinite diameter, and Chebyshev constant
Statement
Assume the Axiom of Choice (The Axiom of Choice). Let be compact, with the Fekete diameters and transfinite diameter of Fekete points and the transfinite diameter of a compact set, the extremal norms and Chebyshev constant of Chebyshev constant of a compact planar set, and the Robin constant and logarithmic capacity of Robin constant and logarithmic capacity of a compact set. Then
If is infinite, then for every sequence of -point Fekete tuples of , with associated monic Fekete polynomials ,
If , then the empirical probability measures formed from any such sequence of Fekete tuples converge weakly to the unique equilibrium measure of (Weak convergence of borel probability measures, Existence and uniqueness of the equilibrium measure); moreover, for every nonempty compact ,
where 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 .
The Axiom of Choice is used through Countable Choice for selecting one Fekete tuple for each , through the weak sequential compactness of probability laws on the compact set , 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
Given: a compact set , the Axiom of Choice, and the conventions of Fekete points and the transfinite diameter of a compact set, Chebyshev constant of a compact planar set, Logarithmic potential and energy of a positive compactly supported measure and Robin constant and logarithmic capacity of a compact set.
For nonempty compact and the map attains its maximum on the nonempty compact , the -th Fekete diameter is , tuples attaining the maximum are the Fekete tuples, the associated polynomial is monic of degree (Formal complex polynomials, evaluation, degree, leading coefficient, and monic polynomials), and with the convention (Fekete points and the transfinite diameter of a compact set).
For nonempty compact one has for every , and the sequence converges with (Monotonicity of the Fekete diameters and the transfinite diameter).
For nonempty compact one has for every polynomial , each is a real number with , and with the convention (Chebyshev constant of a compact planar set).
For finite positive Borel measures of compact support the kernel is with diagonal value , and, for and on , the logarithmic energy is , independent of the admissible ; the mixed energy is symmetric (Logarithmic potential and energy of a positive compactly supported measure).
For nonempty compact the Robin constant is , where is the set of Borel probability measures on , and if and if , so is equivalent to ; the convention is (Robin constant and logarithmic capacity of a compact set).
Assume the Axiom of Choice. For nonempty compact and every monic complex polynomial of degree one has , and consequently (Monic polynomial lower bounds for the Chebyshev constant and capacity).
The Dirac set function 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 for every measurable (Nonnegative scalar multiples and countable weighted sums of measures, Nonnegative scalar multiples and countable weighted sums of measures are measures).
For Borel probability measures on a metric space, means for every bounded continuous real function (Weak convergence of borel probability measures).
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).
Assume the Axiom of Choice. Every nonempty compact with has exactly one equilibrium measure , and it satisfies (Existence and uniqueness of the equilibrium measure).
A unital point-separating subalgebra of on a nonempty compact metric space is uniformly dense (Real Stone--Weierstrass theorem for compact metric spaces).
For a Borel probability measure on and bounded Borel functions on , the iterated integral factorizes: ; this is Tonelli's identity for the product measure (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).
If pointwise with the measurable, then (Monotone convergence for the integral).
Every has a unique nonnegative -th root , and for one has and implies : and are nonnegative with -th powers and , and is injective on (Existence and uniqueness of -th roots: a unique with , Monotonicity of and of ).
Sums, products and quotients of convergent real sequences converge to the corresponding combination (Algebra of limits: sums, scalar multiples, products and quotients); if for all sufficiently large then (If eventually then and ).
The Axiom of Choice implies Dependent Choice, which implies Countable Choice (AC implies DC implies countable choice, The Axiom of Countable Choice ()).
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).
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).
The modulus is multiplicative, , subadditive, , and definite on (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive); the natural logarithm satisfies and (Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm) and is continuous on because it is differentiable there with (The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, A function differentiable at is continuous at , is continuous at if and only if for every sequence in converging to , the converse direction costing countable choice); the real exponential is continuous, is a bijection with inverse , and for (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 by a power series, The exponential is a continuous bijection from onto , 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).
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).
For a nonnegative simple measurable function in pairwise disjoint representation and a measure , the simple integral is and coincides with the nonnegative Lebesgue integral of (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 is the supremum of the integrals of its nonnegative simple minorants and is monotone in (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).
A continuous real function on a metric space is Borel measurable, and for a Borel probability and a bounded continuous real one has (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 and 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 on , and every finite sum of such slices, is continuous.
Proof
Let be compact and assume the Axiom of Choice. If , then by their empty-set conventions [F1, F3, F5], so the capacity equality holds; the norm and Fekete-sequence assertions require infinite or , respectively. For the remaining proof assume , so that and are defined as well as , , and .
For every the set of -point Fekete tuples of is nonempty by [F1]; the Axiom of Choice yields Countable Choice by [F16], so select a sequence with an -point Fekete tuple of , and write , a monic polynomial of degree by [F1], with by [F3].
For every nonempty compact metric space , points and continuous , the finite weighted sum is a Borel probability measure on by [F7] and satisfies ; consequently, for every continuous , the iterated integral against evaluates as . Indeed, for every nonnegative measurable on one has : for a nonnegative simple measurable in pairwise disjoint representation, the defining formula of [F7] and the simple integral of [F21] give , and for general the increasing simple approximations of [F20] together with [F13] and [F15] give ; a continuous real is bounded by [F17] and Borel measurable by [F22], so by [F22] and is -integrable by [F21]; its positive and negative parts are nonnegative bounded Borel by [F21], so ; finally the slices and of the continuous , and the finite sum , are continuous by [F22], so this formula applied on the compact metric space to the continuous functions and gives for each and hence .
If is finite, say with , then for every the polynomial is monic of degree and vanishes on , so by [F3]; the infimum defining is therefore , and because by [F1].
Assume for the rest of this phase that is infinite, and fix . Then : since contains distinct points, the tuple of those points has , so the maximum in [F1] is positive.
For every the -tuple satisfies , because the pairs not involving reproduce the Vandermonde product of and the pairs involving reproduce by the multiplicativity in [F19]; equivalently by [F1].
Since is monic of degree , [F1] and [F3] give and for every ; hence by [F15].
If then by the conventions of [F3] and [F5]; if , [F6] gives . Thus for every compact .
The finite sums of continuous real functions on form a unital subalgebra of that separates points, so they are uniformly dense in by [F11], since is a nonempty compact metric space by [F17].
Fix and and put on . By [F4] the function is nonnegative on with diagonal value , so is continuous, , , and for every .
Let be nonempty and compact. The kernel is continuous on and uniformly continuous there. Indeed is continuous and never vanishes on , because , so by [F17] its modulus attains a minimum on the nonempty compact set ; the functions and are continuous on their domains and composition preserves continuity by [F19], so is continuous on ; uniform continuity follows from [F18].
The tuple lies in , so [F1] bounds its by ; dividing step 1.6 by (step 1.5) and taking the supremum over gives ; taking nonnegative -th roots by [F14] and using from [F2] gives .
Assume for this phase. Then for every by [F1], so no Fekete tuple of step 1.2 has a repeated entry and the sum is finite by [F4]; moreover , since and is continuous on by [F19].
Put for ; these are Borel probability measures on by [F7], so by [F9], whose Axiom of Choice hypothesis is part of the Given, there are a strictly increasing sequence and a measure with .
Since by [F2], step 2.1 and [F15] give .
For a finite sum and every Borel probability on , [F12] factorizes the iterated integral, ; applying this to and to and using the weak convergence of step 2.3 gives .
For every , step 1.3 with applied to the Fekete tuple , the diagonal values of step 1.10, the bound off the diagonal and the Fekete identity of step 2.2 give .
Assume and let be nonempty and compact. For and one has by [F19], so the potential of from step 2.3 is by [F4], step 1.3 and the product law for the logarithm in [F19]; hence by the identity and the inverse relation between and recorded in [F19].
Steps 3.1 and 1.7 give for infinite ; with step 1.4 this inequality holds for every compact .
Hence for every bounded continuous on one has : given , step 1.9 supplies a finite sum with on , step 3.2 gives convergence of the integrals, and the triangle inequality bounds the difference of the integrals by .
Letting in steps 4.2 and 3.3 and using step 2.2 gives .
As one has pointwise, so [F13] applied to the nonnegative functions gives ; by [F4], whose shift formula applies since has total mass one and support in with , the left side equals , so .
Since , the minimality in [F5] gives ; hence , and, by [F19], , that is .
If then steps 4.1 and 1.8 give , while by [F5]; if then step 7.1 gives and steps 4.1 and 1.8 give ; in both cases .
Assume . By step 8.1, , 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 in place of , because only the Fekete property of each and the limit of step 2.2 are used: if is a weak limit of a subsequence of , then by steps 6.1, 7.1 and 8.1, while by [F5]; hence , and the uniqueness part of [F10] gives .
If is infinite, then steps 3.1 and 1.7 with step 8.1 give , so ; since steps 3.1 and 1.7 use only the Fekete property of each and the definitions, this limit is the same for every sequence of -point Fekete tuples.
Consequently . Indeed, for every bounded continuous real the sequence is bounded, and every subsequence of has a sub-subsequence converging to : the corresponding subsequence of has a weakly convergent sub-subsequence by [F9], and its limit is 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 converges to ; hence , which is weak convergence.
Let and let satisfy the uniform continuity of step 1.11 for the tolerance . By compactness of and [F17] there are finitely many with ; for each the function is bounded and continuous on , so step 10.1 gives with for all and all . For choose with ; then , because the two outer terms are bounded by from the uniform continuity of step 1.11 and the middle term is the displayed integral.
Both and take values in the bounded interval , where exists by [F17] and [F19]; the exponential is continuous and therefore uniformly continuous on by [F18] and [F19], so step 11.1 gives .
By step 3.4 the left-hand function is for , so step 12.1 is exactly the asserted uniform exterior limit .
Assembly: step 8.1 proves for every compact ; step 9.2 proves the Fekete-polynomial norm limit for infinite ; step 10.1 proves weak convergence of the empirical measures to when ; and step 13.1 proves the uniform exterior limit.
Remarks
The two directions of the equality are different in character. The inequality is elementary: appending one point to a Fekete tuple compares the monic Fekete polynomial with the Fekete diameters. The reverse comparison is where the equilibrium theory enters: a weak limit of the Fekete counting measures has energy at most , and minimality of forces equality and identifies the limit with . The inequality of [F6] closes the circle.
The hypothesis that is infinite in the norm limit is necessary. For a finite set all sufficiently large tuples have a repeated entry, so every tuple is a Fekete tuple once ; the monic Fekete polynomial of a tuple that uses only one point of has norm in general, while by step 1.4. Hence the limit statement is asserted only for infinite , where for every .
Choice. Countable Choice selects one Fekete tuple per ; 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 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
- B. Khoruzhenko, LTCC Potential Theory notes
- E. B. Saff, Logarithmic Potential Theory with Applications to Approximation Theory
- E. B. Saff, Logarithmic Potential Theory with Applications to Approximation Theory, §§1–3
- B. Khoruzhenko, LTCC Potential Theory notes, §§3 and 5
- E. B. Saff, Logarithmic Potential Theory with Applications to Approximation Theory, §1
- B. Khoruzhenko, LTCC Potential Theory notes, §3
- Frerick, Müller, Thomaser, A Fourier integral formula for logarithmic energy
- C. Kuehn, Introduction to Potential Theory via Applications, §2.3
- B. Khoruzhenko, LTCC Potential Theory notes, §5
- E. B. Saff, Logarithmic Potential Theory with Applications to Approximation Theory, §1–3
- W. Hansen and I. Netuka, On Evans' and Choquet's Theorems for Polar Sets
- E. B. Saff, Logarithmic Potential Theory with Applications to Approximation Theory, §2
- T. Bloom and N. Levenberg, Pluripotential Energy
- V. Guedj and A. Zeriahi, The Weighted Monge-Ampere Energy of Quasi-Plurisubharmonic Functions
- E. B. Saff, Logarithmic Potential Theory with Applications to Approximation Theory, §3