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Poisson kernel and bounded Dirichlet problem on a half-space

Statement

Assume Countable Choice and n≥3. Use one-based labels xj:=xj−1can and ej:=ej−1can, 1≤j≤n. For x=(x′,t)∈H={xn>0} and z∈Rn−1, PH((x′,t),z)=2tωn−1(∣x′−z∣2+t2)n/2 is the negative outward boundary derivative of the reflected Green kernel GH of the half-space, is positive, and satisfies ∫Rn−1PH((x′,t),z) dz=1. For bounded continuous real or complex g on ∂H=Rn−1, the function Ug(x)=∫Rn−1PH(x,z)g(z) dz is bounded, smooth and harmonic on H, and Ug(x)→g(z0) as x→(z0,0) from inside H. It is the unique bounded harmonic function on H, continuous on H‾, with trace g; boundedness is the growth condition at infinity that makes the solution unique.

Facts & Assumptions

Given: Countable Choice, an integer n≥3, the upper half-space H={x=(x′,xn):xn>0}, the outward normal ν=−en of its boundary plane ∂H={xn=0}=Rn−1, and a bounded continuous g:∂H→C, ∥g∥∞=sup⁡∂H∣g∣<+∞.

[F1]

The reflected kernel GH(x,y)=Φ(x−y)−Φ(x−y†), y†=(y′,−yn), is symmetric off the diagonal and strictly positive for distinct x,y∈H, smooth and harmonic in x off y, has −ΔxGH(⋅,y)=δy distributionally in H and has zero continuous boundary trace (Reflection Green kernel for the half-space).

[F2]

For n≥3, Φ(w)=∣w∣2−n/((n−2)ωn−1) is smooth and harmonic on Rn∖{0} (Fundamental solution for the positive operator minus Laplacian, The Laplace fundamental solution is harmonic off its pole).

[F3]

The continuous Dirichlet problem on a ball is uniquely solvable by the Poisson integral, for real and complex data (Continuous Dirichlet problem on a ball).

[F4]

On a bounded nonempty open set, a C2∩C(Ω‾) function with Δu≥0 attains its maximum on the boundary (Weak maximum principle for the laplacian).

[F5]

A bounded harmonic function on all of Rn is constant (Liouville theorem for bounded harmonic functions).

[F6]

Toolkit for the normalisation: polar coordinates in Rn−1 (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma), the C1 change-of-variables formula for nonnegative measurable functions (A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions), B(p,q)=∫01tp−1(1−t)q−1dt (Euler's real Beta integral), B(p,q)=Γ(p)Γ(q)/Γ(p+q) (The real Beta--Gamma identity), Γ(1/2)=π (Γ(1/2)=π from the Gaussian integral), Γ(s+1)=sΓ(s) (The real Gamma functional equation Γ(s+1)=sΓ(s)), Vn(1)=πn/2/Γ(n/2+1) (The closed form for the volume of the unit n-ball), ∣∂Br∣=ωn−1rn−1 and ∣Br∣=ωn−1rn/n (Sphere and ball measures scale in Rn), and ωn−1=∣Sn−1∣ for the polar surface measure (Agreement with the existing polar sphere measure).

[F7]

Differentiation under the integral sign over a general measure space, and dominated convergence (Differentiation under the integral sign, Dominated convergence).

[F9]

Countable Choice ACω is the standing hypothesis (The Axiom of Countable Choice (ACω)).

Proof

technique · direct
1.1givenF9

Work under [F9] and put R(x,z):=∣x−(z,0)∣=(∣x′−z∣2+t2)1/2>0 for x=(x′,t)∈H. Write y=(z,0).

1.2givenF2F8algebra

Derivative of the fundamental kernel: since Φ(w)=∣w∣2−n/((n−2)ωn−1) on w≠0, the chain rule and real-power rule [F8] give ∇Φ(w)=∣w∣−nw⋅(2−n)/((n−2)ωn−1)=−w/(ωn−1∣w∣n) for every w≠0.

1.3givenF6algebra

Normalisation, first reduction. By [F6] applied to the nonnegative measurable function z↦PH(x,z) and the C1 diffeomorphism z=x′+tw with Jacobian tn−1, ∫Rn−1PH(x,z) dz=2tωn−1∫Rn−1dz(∣x′−z∣2+t2)n/2=2t tn−1ωn−1tn∫Rn−1dw(1+∣w∣2)n/2=2ωn−1I,I:=∫Rn−1dw(1+∣w∣2)n/2.

2.1step 1.1step 1.2F1algebra

The boundary derivative. Fix x=(x′,t)∈H and a boundary coordinate z∈Rn−1. For 0<s<t, the formula in [F1] gives GH(x,(z,s))=Φ(x′−z,t−s)−Φ(x′−z,t+s). Both arguments stay nonzero through s=0, so this explicit expression extends smoothly to the boundary pole (z,0). By step 1.2, differentiating in s at 0 gives ∂sGH(x,(z,s))∣s=0=2t/(ωn−1(∣x′−z∣2+t2)n/2). Since the outward normal is ν=−en, the negative outward derivative is −∂νGH=+∂sGH, which is the displayed positive kernel. This calculation uses the explicit reflected formula and its smooth boundary extension; it does not apply the interior-pole statement of [F1] at a boundary pole.

2.2step 2.1F6algebra

Polar evaluation of I. With m=n−1≥2 and w=rθ, [F6] gives I=ωn−2∫0∞rn−2 dr(1+r2)n/2; substituting s=r2, rn−2dr=12s(n−1)/2−1ds, this is I=ωn−22∫0∞s(n−1)/2−1(1+s)−n/2 ds. The further substitution t=s1+s turns the last integral into ∫01t(n−1)/2−1(1−t)1/2−1dt=B(n−12,12) by [F6]; hence I=ωn−22B(n−12,12)<+∞. [step 1.3, F6, algebra] 3.1 Positivity: for x∈H we have t>0 and ωn−1>0 by [F6], while the denominator is a positive real number; hence PH(x,z)>0 for every z∈Rn−1.

3.2step 1.3step 2.2F6algebra

Evaluation of the constants. By [F6], ∣B1n∣=πn/2/Γ(n/2+1) and ∣B1n∣=ωn−1/n, so ωn−1=nπn/2/Γ(n/2+1)=2πn/2/Γ(n/2); replacing n by n−1 gives ωn−2=2π(n−1)/2/Γ((n−1)/2). By [F6] again, B(n−12,12)=Γ(n−12)Γ(12)/Γ(n2)=Γ(n−12)π/Γ(n2). Substituting into steps 1.3 and 2.2, ∫Rn−1PH(x,z) dz=2ωn−1⋅ωn−22⋅Γ(n−12)πΓ(n2)=2π(n−1)/22πn/2⋅π=1.

3.3step 1.3step 2.2F7algebra

Boundary convergence. Fix z0∈∂H and η>0; by continuity of g at z0 choose δ>0 with ∣g(z)−g(z0)∣<η for ∣z−z0∣<δ. Let C={z:∣z−z0∣<δ} and D=Rn−1∖C. For z∈C, ∣g(z)−g(z0)∣≤η; for z∈D we use ∣g(z)−g(z0)∣≤2∥g∥∞, and the mass of D is small: if ∣x′−z0∣<δ/2 and z∈D, then ∣x′−z∣≥∣z−z0∣−∣x′−z0∣>δ/2, so by step 1.3 ∫DPH(x,z) dz≤2ωn−1∫∣w∣>δ/(2t)dw(1+∣w∣2)n/2, and this tail tends to 0 as t↓0 by [F7] and the finiteness in step 2.2, since the integrands are dominated by the integrable function (1+∣w∣2)−n/2 and vanish pointwise on the shrinking domain. Hence ∣Ug(x)−g(z0)∣≤η+2∥g∥∞∫DPH(x,z) dz, so lim sup⁡x→(z0,0)∣Ug(x)−g(z0)∣≤η+2∥g∥∞⋅0=η, and η>0 was arbitrary; so Ug(x)→g(z0) as x→(z0,0) from inside H.

4.1step 2.1step 3.2F8algebra

Derivative bounds and integrability. Every partial derivative DxαPH(x,z) is continuous on H×Rn−1 and, on each compact K⊂H, satisfies ∣DxαPH(x,z)∣≤Cα,K(1+∣z∣)−n. Indeed, writing λ=∣x′−z∣2+t2, on K the height t is bounded away from 0 and both t and ∣x′∣ are bounded above; for large ∣z∣, λ is comparable to ∣z∣2. Each horizontal derivative of λ−n/2 contributes a factor O(∣z∣) and one extra factor λ−1, gaining decay; each vertical derivative either differentiates the numerator t, leaving the base decay O(∣z∣−n), or differentiates a denominator factor and gains decay with bounded factors of t. Repeating these rules shows that no derivative decays more slowly than ∣z∣−n; bounded z are covered by compactness and smoothness on K. Since n>n−1, this majorant is integrable over Rn−1. Also ∣Ug(x)∣≤∥g∥∞∫Rn−1PH(x,z) dz=∥g∥∞ by steps 3.1 and 3.2; in particular Ug is absolutely convergent and bounded on H.

4.2step 3.3F3F4F5cases

Uniqueness. Let w be bounded and harmonic on H, continuous on H‾, with w=0 on ∂H; it suffices to show w≡0. If w is complex-valued, apply the argument below separately to its real and imaginary parts, so assume w is real-valued. Fix p∈∂H and a ball B:=Bρ(p) with ρ>0. Define gρ on ∂B by gρ(y)=w(y) for yn≥0 and gρ(y)=−w(y′,−yn) for yn<0; this is continuous on ∂B because w is continuous on H‾ and w=0 on the plane, where the two clauses agree. By [F3] let W be the harmonic function on B with trace gρ; since gρ is odd under the reflection σ(y)=(y′,−yn), the function y↦−W(σ(y)) is harmonic on B with the same trace gρ (because gρ∘σ=−gρ), so [F3] gives W(σ(y))=−W(y): W is odd. In particular W=0 on the flat part ∂B∩∂H, and on the upper half ball B+:=B∩H both W and w are harmonic, continuous on the closure of B+, and agree on its boundary (the upper hemisphere carries gρ=w, and the flat part carries w=0=W); the weak maximum principle [F4] applied to W−w and to w−W gives W=w on B+. Therefore the odd extension w~ of w (namely w~(y)=w(y) for yn>0 and w~(y)=−w(y′,−yn) for yn<0) coincides with the harmonic function W on B, hence is harmonic on a neighbourhood of p; as p was arbitrary and w~ is harmonic off the plane, w~ is harmonic on all of Rn. It is bounded by ∥w∥∞, so [F5] makes it constant, and its value at the plane is 0; hence w~≡0 and w≡0.

5.1step 1.2step 4.1F7F8algebra

Smoothness and harmonicity. By step 4.1 the domination hypothesis of [F7] holds on every compact K⊂H and all admissible derivatives, so induction over the coordinate directions as in [F7] gives Ug∈C∞(H) with DαUg(x)=∫Rn−1DxαPH(x,z)g(z) dz. Moreover Δx(wn∣w∣−n)=0 for w≠0: by [F8] and step 1.2, Δwn=0, ∇(wn)=en, ∇∣w∣−n=−n∣w∣−n−2w and Δ∣w∣−n=2n∣w∣−n−2, so the product rule gives Δ(wn∣w∣−n)=2en⋅(−n∣w∣−n−2w)+wn⋅2n∣w∣−n−2=0. Since PH(x,z)=2ωn−1 φ(x−(z,0)) with φ(w)=wn∣w∣−n and x−(z,0) never vanishes for x∈H, the chain rule gives ΔxPH(x,z)=0 for all x∈H, z∈Rn−1, and therefore ΔUg(x)=∫Rn−1ΔxPH(x,z)g(z) dz=0.

6.1step 2.1step 3.1step 3.2step 4.1step 5.1step 3.3step 4.2cases∎

If v is any bounded harmonic function on H, continuous on H‾, with trace g, then w:=v−Ug is bounded, harmonic by step 5.1, continuous on H‾ and zero on the plane by step 3.3, so step 4.2 gives w≡0 and v=Ug; for complex data both Ug and the difference are complex, and the maximum-principle and Liouville steps were applied to the real and imaginary parts. Together with steps 2.1, 3.1, 3.2, 4.1, 5.1 and 3.3 this proves every clause of the statement.

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