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Borel harmonicity and comparison of harmonic measure

Statement

Assume Dependent Choice. Let Ω be a bounded regular plane domain, in the sense of Harmonic measure on a bounded regular plane domain. Then for every Borel set E⊆∂Ω the function z↦ωΩz(E) is harmonic on Ω (Plane harmonic functions) and takes values in [0,1], and for every fixed z∈Ω the assignment E↦ωΩz(E) is countably additive. If Ω1⊆Ω2 are bounded regular domains and E⊆∂Ω1∩∂Ω2 is Borel, then ωΩ1z(E)≤ωΩ2z(E)(z∈Ω1). The inequality is in this direction: enlarging the domain does not decrease the harmonic mass of a common boundary piece.

Facts & Assumptions

Given: Bounded regular plane domains in the sense of Harmonic measure on a bounded regular plane domain and A complex domain is a nonempty connected open subset of C, a point z of the relevant domain, and Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain). Harmonicity is that of Plane harmonic functions, distances to subsets are as in Distance from a point to a subset, and Radon measures are as in Radon measure on an LCH space.

[F1]

Under Dependent Choice, for every bounded regular plane domain Ω and every z∈Ω the harmonic measure ωΩz exists and is the unique Radon Borel probability measure on ∂Ω with Hφ(z)=∫∂Ωφ dωΩz for every real continuous φ; moreover z↦Hφ(z) is the unique continuous extension to Ω‾ that is harmonic on Ω and agrees with φ on ∂Ω (Existence and uniqueness of harmonic measure on a bounded regular plane domain, Harmonic measure on a bounded regular plane domain).

[F2]

A Radon measure μ on a locally compact Hausdorff space satisfies μ(E)=inf⁡E⊆V openμ(V) for every Borel E, μ(U)=sup⁡K⊆U compactμ(K) for every open U, and μ(K)<∞ for every compact K (Radon measure on an LCH space).

[F3]

If (um) is an increasing sequence of harmonic functions on a complex domain, then either um→+∞ pointwise everywhere or um converges locally uniformly to a harmonic function (An increasing harmonic sequence converges locally uniformly to a harmonic limit or diverges to +infinity).

[F4]

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

[F5]

For a bounded complex domain Ω and u continuous on Ω‾ and harmonic on Ω, inf⁡Ω‾u=inf⁡∂Ωu and sup⁡Ω‾u=sup⁡∂Ωu (Maximum and minimum principles for plane harmonic functions).

[F6]

For nonempty A⊆X in a metric space, x↦d(x,A) is 1-Lipschitz, hence continuous, and the set {x:d(x,A)≥c} is closed for every c (∣d(x,A)−d(y,A)∣≤d(x,y), so the distance to a fixed nonempty set is 1-Lipschitz, Distance from a point to a subset).

[F7]

If K is nonempty compact, C nonempty closed and K∩C=∅ in a real or complex normed space, then there is δ>0 with ∥k−c∥≥δ for all k∈K, c∈C (A compact set and a disjoint closed set have a positive norm-distance gap).

[F8]

A closed subset of a compact metric space is a compact subset of it (A closed subset of a compact metric space is compact).

[F10]

The Borel sigma-algebra on a topological space is the sigma-algebra generated by its open sets; a family of subsets that contains every open set and is closed under complements and countable unions contains every Borel set (The Borel sigma-algebra of a topological space).

[F11]

A lambda-system contains the whole space, is closed under differences B∖A when A⊆B are members, and is closed under increasing countable unions (Lambda-systems, or Dynkin systems). The family of open subsets of a topological space is a pi-system, and Dynkin's pi-lambda theorem says that every lambda-system containing a pi-system contains the sigma-algebra it generates (Pi-systems, Dynkin's pi-lambda theorem).

[F12]

Finite linear combinations of harmonic functions are harmonic, since harmonic functions are C2 with Laplacian zero and the Laplacian is linear (Plane harmonic functions).

Proof

technique · direct
1.1F6F7given

Fix a compact nonempty K⊆∂Ω and for m≥1 define φm(x)=max⁡{0,1−m d(x,K)} on ∂Ω. Each φm is continuous and 0≤φm+1≤φm≤1; and φm=1 on K, while for x∉K the compact set K and the closed set {x} are disjoint, so d(x,K)>0 by [F7] and φm(x)=0 for all m≥1/d(x,K). Thus φm↓1K pointwise on ∂Ω.

1.2F1F6F7F8given

Let U⊆∂Ω be open. The cases U=∂Ω and U=∅ give the constant functions 1 and 0, which are harmonic; assume U∉{∅,∂Ω}. For m≥1 put Km={x∈∂Ω:d(x,∂Ω∖U)≥1/m}. Since ∂Ω∖U is a nonempty closed set and d(⋅,∂Ω∖U) is continuous, each Km is closed in ∂Ω, hence compact because ∂Ω is compact; clearly Km⊆Km+1. If x∈Km then d(x,∂Ω∖U)≥1/m>0, so x∉∂Ω∖U (that set being closed, a point of it would have distance zero), hence x∈U and Km⊆U. Conversely every x∈U lies outside the nonempty closed set ∂Ω∖U, so by [F7] applied to the compact singleton {x} we have d(x,∂Ω∖U)>0, hence x∈Km for all large m; therefore ⋃mKm=U.

1.3F1F5F9given

Now let Ω1⊆Ω2 be bounded regular domains, let z∈Ω1, and let K⊆∂Ω1∩∂Ω2 be compact. Such a K is a compact subset of both ∂Ω1 and ∂Ω2 by [F9]. Let φ2:∂Ω2→R be continuous with φ2≥1K, and let u2 be the continuous harmonic extension of φ2 on Ω2 provided by [F1]. Evaluating the representation of [F1] for Ω2 at z gives ∫∂Ω2φ2 dωΩ2z=u2(z). Since Ω1⊆Ω2 we have Ω1‾⊆Ω2‾, and u2≥0 on Ω2‾ by [F5] and φ2≥0; restricted to Ω1‾ it is continuous, harmonic on Ω1, and hence is the unique continuous harmonic extension of its trace u2∣∂Ω1. Applying the representation of [F1] to Ω1 with that trace gives ∫∂Ω1u2 dωΩ1z=u2(z). Finally u2≥1K at every point of K⊆∂Ω1∩∂Ω2, because u2=φ2 on ∂Ω2, and u2≥0 everywhere on ∂Ω1, so ∫∂Ω1u2 dωΩ1z≥ωΩ1z(K). Chaining the three displays, ωΩ1z(K)≤∫∂Ω2φ2 dωΩ2z.

1.4F2F6F7given

The compact set K⊆∂Ω2 satisfies ωΩ2z(K)=inf⁡{∫∂Ω2φ dωΩ2z:φ∈C(∂Ω2), φ≥1K}. The inequality "≥" is monotonicity of the integral against the positive measure ωΩ2z; for "≤" fix ε>0 and use outer regularity [F2] to choose open V⊇K with ωΩ2z(V)<ωΩ2z(K)+ε. If ∂Ω2∖V=∅ the constant function 1 is admissible and ∫1 dωΩ2z=1=ωΩ2z(V)<ωΩ2z(K)+ε. Otherwise ∂Ω2∖V is nonempty closed and disjoint from K, so δ:=d(K,∂Ω2∖V)>0 by [F7]; the function φ(x)=max⁡{0,1−d(x,K)/δ} is continuous by [F6], satisfies 1K≤φ≤1V, and hence ∫φ dωΩ2z≤ωΩ2z(V)<ωΩ2z(K)+ε. Letting ε↓0 proves the displayed infimum.

1.5F2F8given

Let E⊆∂Ω1∩∂Ω2 be Borel and let ε>0. The measure ωΩ1z has total mass one and is outer regular on Borel sets by [F2]; applied to the Borel set ∂Ω1∖E it yields an open V⊇∂Ω1∖E with ωΩ1z(V)<ωΩ1z(∂Ω1∖E)+ε. Then C:=∂Ω1∖V is closed in ∂Ω1, hence compact by [F8] and ∂Ω1 being compact, satisfies C⊆E, and ωΩ1z(C)=1−ωΩ1z(V)>1−ωΩ1z(∂Ω1∖E)−ε=ωΩ1z(E)−ε.

2.1F1step 1.1

For each m let um:=Hφm be the corresponding envelope for Ω; by [F1] each um is harmonic on Ω, continuous on Ω‾, and satisfies um(w)=∫∂Ωφm dωΩw for every w∈Ω. Since φm+1≤φm and ωΩw is a positive measure, um+1(w)=∫φm+1 dωΩw≤∫φm dωΩw=um(w) and um(w)≥0 for every w.

2.2step 1.3step 1.4

Combining steps 1.3 and 1.4, for every compact K⊆∂Ω1∩∂Ω2 we have ωΩ1z(K)≤inf⁡φ2≥1K∫∂Ω2φ2 dωΩ2z=ωΩ2z(K); for K=∅ both sides are 0.

3.1F1F4step 1.1step 2.1

Fix w∈Ω. The functions φ1−φm are nonnegative, measurable, and increase to φ1−1K pointwise by step 1.1, so monotone convergence [F4] gives ∫(φ1−φm) dωΩw↑∫(φ1−1K) dωΩw. All these integrals are finite because ωΩw is a probability measure and 0≤φ1−φm≤1; subtracting the common finite value ∫φ1 dωΩw gives um(w)=∫φm dωΩw↓ωΩw(K).

4.1F1F3step 2.1step 3.1

The sequence −um is increasing by step 2.1 and bounded above by 0, so the divergent alternative of [F3] is excluded and −um converges locally uniformly on Ω to a harmonic function; equivalently um converges locally uniformly to a harmonic function u, and by step 3.1 u(w)=lim⁡mum(w)=ωΩw(K) for every w∈Ω. Hence w↦ωΩw(K) is harmonic on Ω for every nonempty compact K⊆∂Ω; for K=∅ it is the constant 0, which is harmonic.

5.1F1step 4.1

Since every ωΩw is a probability measure, 0≤ωΩw(K)≤1 for every w and every compact K.

6.1F3step 4.1step 5.1step 1.2

For each w, continuity from below for the measure ωΩw gives ωΩw(U)=lim⁡mωΩw(Km) by step 1.2. The functions w↦ωΩw(Km) are harmonic by step 4.1, the sequence is increasing in m and takes values in [0,1] by step 5.1, so its limit w↦ωΩw(U) is harmonic on Ω by [F3].

7.1F1F9step 2.2step 1.5given∎

Let A be the family of Borel sets E⊆∂Ω for which w↦ωΩw(E) is harmonic on Ω. It contains ∂Ω because the harmonic measure is a probability, and it contains every open set by steps 1.2 and 6.1 and the two trivial open cases there. If A,B∈A with A⊆B, then for every w the measure identity gives ωΩw(B∖A)=ωΩw(B)−ωΩw(A); the right side is a difference of harmonic functions, hence harmonic by [F12], so B∖A∈A. If E1⊆E2⊆⋯ are in A, then continuity from below for each measure gives ωΩw(⋃nEn)=lim⁡nωΩw(En). This is an increasing sequence of harmonic functions bounded above by 1, so its limit is harmonic by [F3]. Thus A is a lambda-system by [F11]. The open subsets of ∂Ω form a pi-system that generates its Borel sigma-algebra, so Dynkin's pi-lambda theorem [F11] implies that A contains every Borel set. Hence w↦ωΩw(E) is harmonic for every Borel E, its values lie in [0,1] because each ωΩw is a probability measure, and countable additivity in E at fixed w is the measure property of ωΩw. [F1, F3, F10, F11, F12, step 5.1, step 6.1, step 1.2] 8.1 The compact set C of step 1.5 is a compact subset of ∂Ω1∩∂Ω2 and hence of ∂Ω2 by [F9]; if C≠∅ step 2.2 gives ωΩ1z(C)≤ωΩ2z(C), while for C=∅ this inequality is trivial. Since C⊆E⊆∂Ω2, monotonicity of ωΩ2z gives ωΩ2z(C)≤ωΩ2z(E). Therefore ωΩ1z(E)<ωΩ1z(C)+ε≤ωΩ2z(E)+ε for every ε>0, so ωΩ1z(E)≤ωΩ2z(E). Dependent Choice was used only through the existence and uniqueness theorem [F1]; the compact and Borel approximation arguments and the comparison itself are choice-free.

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