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✓ 21 results · all verified · 16 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 5 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Fundamental Solutions Newtonian Potentials and Green Functions

1 · Prerequisites

2 · Summary

This page fixes the sign convention −ΔΦ=δ0 and the normalized kernel Φ(x)=∣x∣2−n/((n−2)ωn−1) for n≥3, Φ(x)=−(2π)−1log⁡∣x∣ for n=2, proves the distributional Dirac identity −ΔTΦ=δ0, and develops Newtonian potentials of compactly supported data: absolute convergence for bounded compact data, far-field decay, the distributional Poisson equation for compact L1 data and the classical C2,α result for Hölder data. The Dirichlet Green function GΩ(x,y)=Φ(x−y)−Hy(x) is then treated through uniqueness and positivity, symmetry in its two slots, the Poisson kernel PΩ=−∂νyGΩ, the Green representation formula for classical data, and the zero-Dirichlet and Dirichlet/Neumann uniqueness corollaries. The Laplace-kernel and Green-function results on this page assume n≥2; the opening constant-coefficient fundamental-solution definition and the componentwise Neumann-uniqueness corollary also cover n=1. The one-dimensional interval Green kernel is an analogue confined to the examples page.

All boundary-flux computations use the Euclidean surface measure, divergence theorem and Green identities of the surface-measure page, as recorded in the closing remark; the outward normal is used on the outer boundary and reversed on every excised inner sphere. Countable Choice (ACω) is stated and propagated by every item that invokes those measure, surface, divergence or Green interfaces, and no full Axiom of Choice is used. The Green representation theorem assumes a bounded C1 domain carrying a Dirichlet Green function whose correctors satisfy Hy∈C2(Ω‾); no existence of Green functions is asserted, the Neumann compatibility equation is necessary only, and no weak-boundary, interior-C2 or manifold-Stokes strengthening is claimed here.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Fundamental solution of a constant-coefficient operator

Statement

For a constant-coefficient differential operator L=p(D) on Rn, a distribution E∈D′(Rn) is a fundamental solution when LE=δ0. Its translate Ey(x)=E(x−y) satisfies LEy=δy, with translation defined on test functions and no conjugation in the pairing.

Definition

The translation of a distribution E∈D′(Rn) by y∈Rn is the distribution Ey defined by ⟨Ey,φ⟩:=⟨E,T−yφ⟩=⟨E,φ( ⋅+y)⟩,φ∈D(Rn). A fundamental solution of L is a distribution E such that LE=δ0. Here L is a finite linear combination of distributional partial derivatives with constant scalar coefficients, and D denotes the fixed derivative convention used to write that operator. The pairing is complex bilinear, so translation introduces no conjugation.

Facts & Assumptions

Given: E∈D′(Rn), fixed y∈Rn, a test function φ∈D(Rn), and a constant-coefficient operator L that is a finite linear combination of distributional partial derivatives.

[F1]

A distribution is a continuous complex-linear functional on test functions, and its pairing is linear in both arguments with no conjugation. (Distribution).

[F2]

Distributional derivatives are defined by ⟨∂αE,ψ⟩=(−1)∣α∣⟨E,∂αψ⟩. (Distributional derivative).

[F3]

Test-function translation Thφ(x)=φ(x−h) is a continuous isomorphism between the corresponding LF test spaces. (Test function operations are continuous).

[F4]

The Dirac distribution satisfies δa(ψ)=ψ(a). (Dirac delta and its derivatives).

Proof

technique · direct
1.1givenF1F3

Define Ey by the displayed pairing. By [F3], T−yφ is a test function, and by [F1] composition with E is a continuous complex-linear functional. Thus Ey is a distribution; the formula is bilinear and uses no complex conjugation.

1.2F2F3

For every multi-index α, use [F2] and then differentiate the translated test directly to obtain ⟨∂αEy,φ⟩=(−1)∣α∣⟨E,T−y∂αφ⟩=(−1)∣α∣⟨E,∂αT−yφ⟩=⟨∂αE,T−yφ⟩. The equality T−y∂αφ=∂αT−yφ follows because T−yφ(x)=φ(x+y) and y is fixed.

2.1step 1.2F1F4algebra

By linearity of the distribution pairing, step 1.2 extends from each partial derivative to their finite constant-coefficient combination L. Hence ⟨LEy,φ⟩=⟨LE,T−yφ⟩. If LE=δ0, [F4] makes the right side (T−yφ)(0)=φ(y)=δy(φ), so LEy=δy. This proves the translated point-source assertion.

3.1step 1.1step 1.2step 2.1F4cases∎

The calculation also covers the zero operator: its premise LE=δ0 cannot hold since δ0 evaluates a test with value 1 at zero as 1. For n=1 the same multi-index computation applies unchanged; in the zero-dimensional formal case the only translation is by 0 and the assertion is the premise itself. There are no spatial boundary endpoints on Rn, and the proof uses only the fixed translation and finite algebra, not a choice axiom.

Source notes

Teschl §5.3 equations (5.19)–(5.21), printed p. 117; Hunter §2.6 point-source interpretation, printed pp. 33–34. The translation identity is derived from the distributional derivative definition and fixed test-function translation, with signs checked in the bilinear pairing convention.

DefinitionDefinition: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-30Open item page →

Fundamental solution for the positive operator minus Laplacian

Statement

Assume Countable Choice and n≥2. With ωn−1=∣Sn−1∣>0 in the published chart/polar convention, set Φ(x)=∣x∣2−n/((n−2)ωn−1) for n≥3 and Φ(x)=−(2π)−1log⁡∣x∣ for n=2, x≠0. Extend it as a locally integrable function at the pole. The one-dimensional analogue is −12∣x∣; the subsequent n≥2 Green theory does not silently include it.

Definition

The kernel candidate for the operator −Δ is Φn(x)={∣x∣2−n(n−2)ωn−1,n≥3,−12πlog⁡∣x∣,n=2,x≠0. Its value at 0 may be assigned arbitrarily; the resulting measurable function is interpreted through its locally integrable class. Here ωn−1 is the chart surface measure, which agrees with the polar measure σ. In dimension one put Φ1(x)=−∣x∣/2. This fixes the positive-minus-Laplacian sign convention; the later distributional theorem proves −ΔΦn=δ0 for n≥2.

Facts & Assumptions

Given: Assume ACω, let n≥2, and use the published chart/polar convention for surface measure and Lebesgue polar coordinates. The one-dimensional profile is considered separately.

[A1]

Countable Choice, written ACω, says every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice (ACω)).

[F1]

The chart surface measure agrees with the polar measure and satisfies ∣Sn−1∣=n∣B1∣. (Agreement with the existing polar sphere measure).

[F2]

Every Euclidean ball of positive radius has positive finite Lebesgue measure under Countable Choice. (Euclidean balls have positive finite Lebesgue measure).

[F3]

The unit ball volume is Vn(1)=πn/2/Γ(n/2+1), hence ∣B1∣=π in dimension two. (The closed form for the volume of the unit n-ball).

[F4]

For nonnegative Borel q, polar integration gives ∫Rnq(x) dx=∫0∞∫Sn−1q(rω)rn−1 dσ(ω) dr. (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).

[F5]

A distribution E is a fundamental solution of a constant-coefficient operator L when LE=δ0. (Fundamental solution of a constant-coefficient operator).

[F6]

A locally integrable function defines the regular functional ⟨uf,φ⟩=∫fφ. (Regular distribution from a locally integrable function).

[F7]

Distributional second derivatives act by the signed test derivative formula. (Distributional derivative).

[F8]

The Dirac distribution satisfies δ0(φ)=φ(0). (Dirac delta and its derivatives).

[F9]

The Laplacian is the divergence of the gradient, with Δf=∑i∂i2f. (The Laplacian of a C2 function and of a C2 vector field).

[F10]

Under Countable Choice, every singleton in Rn is Lebesgue null. (A box with a degenerate side is Lebesgue null, and so is every coordinate hyperplane in Rn).

Proof

technique · direct
1.1givenA1F1F2F3F9

By [F1] and [F2], ωn−1=n∣B1∣ is finite and strictly positive. In dimension two, [F3] gives ∣B1∣=π, so ω1=2π and the logarithmic coefficient in the Statement is exactly 1/ω1. The operator sign is L=−Δ using the definition [F9]. This uses the Countable Choice assumption [A1] through the measure convention.

1.2givenF5F6F7F8algebra

In dimension one, ∫−RR∣Φ1(x)∣ dx=R2/2, so Φ1 is locally integrable. For a test φ, [F7] gives ⟨−Φ1′′,φ⟩=−∫RΦ1(x)φ′′(x) dx. The slopes of Φ1 are +1/2 to the left of zero and −1/2 to the right; integrating by parts separately on the two half-lines, the compact-support endpoint terms vanish and ∫RΦ1φ′′=−φ(0), so the negative integral equals φ(0)=δ0(φ) by [F8]. Thus −Φ1′′=δ0 and [F5] identifies it as the one-dimensional fundamental-solution analogue for L=−d2/dx2.

2.1step 1.1A1F4

Let 0<R≤1. For n≥3, [F4] gives ∫BR∣Φn(x)∣ dx=1n−2∫0Rr dr=R22(n−2)<∞. For n=2, using ω1=2π from step 1.1, it gives ∫BR∣Φ2(x)∣ dx=∫0Rr(−log⁡r) dr=−R22log⁡R+R24<∞. The polar integration use [F4] also assumes [A1].

3.1step 2.1F6F10

The formulas are continuous away from zero, so they are integrable on every compact set avoiding the pole. Step 2.1 proves integrability in a neighborhood of the pole; hence Φn∈Lloc1(Rn). By [F10], changing its value at the single point zero does not change its almost-everywhere class, and [F6] defines the corresponding regular functional.

4.1step 1.1step 1.2step 2.1step 3.1A1cases∎

The zero-dimensional case is outside the stated n≥2 kernel and has no unit-sphere convention used here. The polar endpoint r=0 is included as an improper integral in step 2.1; away from zero the kernel is smooth. Countable Choice is used only through [F1], [F2], and [F4]; no full Axiom of Choice is used.

Source notes

Hunter §2.6 equations (2.12)–(2.13), printed p. 33; Teschl §5.3 equations (5.22)–(5.26), printed pp. 117–118. The one-dimensional formula is checked directly by its slope jump; for n≥2 the distributional Dirac identity is proved later rather than assumed in this definition.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Distributional derivatives commute with test-function convolution

Statement

For a distribution T on Rn and a test function φ, every multi-index α satisfies ∂α(T∗φ)=(∂αT)∗φ=T∗(∂αφ), as smooth functions on their common safe domain.

Facts & Assumptions

Given: T∈D′(Rn), φ∈D(Rn), and a multi-index α∈N0n. The convolution is bilinear and uses the test y↦φ(x−y).

[F1]

For u∈D′(Ω) and ψ∈D(Rn), u∗ψ is smooth on its open safe domain and ∂α(u∗ψ)=(∂αu)∗ψ=u∗(∂αψ) there. (Convolution with a test function is smooth).

[F2]

The convolution is (T∗φ)(x)=⟨T(y),φ(x−y)⟩ wherever the translated test is supported in the distribution domain. (Convolution of a distribution with a test function).

[F3]

Distributional differentiation satisfies ⟨∂αT,ψ⟩=(−1)∣α∣⟨T,∂αψ⟩. (Distributional derivative).

Proof

technique · direct
1.1givenF2

For Ω=Rn, every translated compact support x−supp⁡φ lies in Ω, so the safe domain is all of Rn. Also ∂αφ is a test function with support contained in supp⁡φ. Thus all three convolutions are defined there by [F2].

1.2F1F2

By the smoothness and parameter-differentiation conclusion in [F1], differentiating the pairing in [F2] gives ∂xα(T∗φ)(x)=⟨T(y),(∂αφ)(x−y)⟩=T∗(∂αφ)(x).

2.1step 1.2F2F3algebra

The signed derivative definition [F3] gives (∂αT)∗φ(x)=(−1)∣α∣⟨T(y),∂yαφ(x−y)⟩. Since ∂yαφ(x−y)=(−1)∣α∣(∂αφ)(x−y), the two signs cancel and this equals the expression in step 1.2. Hence all three smooth functions agree on the safe domain.

3.1step 1.1step 1.2step 2.1F1cases∎

The same calculation includes α=0; if φ=0 or T=0 each side is zero; for n=1 it is the same one-variable derivative calculation, and formally for n=0 the only multi-index is zero and the identity is tautological. There are no spatial boundary endpoints on Rn, and no choice is used.

Source notes

Hunter §§2.5–2.7, printed pp. 32–42. The exact identity is already a consequence of the published whole-domain convolution-smoothness theorem in the library; this item records the whole-space specialization and displays the signed derivative computation in the repository's bilinear convention.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Necessary compatibility for the classical Neumann Poisson problem

Statement

Assume Ω is bounded with C1 boundary, u∈C2(Ω‾), f=−Δu, and outward normal derivative g=∂νu. Then ∫Ωf=−∫∂Ωg.

Facts & Assumptions

Given: Assume ACω. Let Ω be a bounded C1 domain in the published Euclidean surface convention, let n≥2, and let real u∈C2(Ω‾) with f=−Δu and g=∂νu. Complex-valued data are handled by real and imaginary parts.

[A1]

Countable Choice, written ACω, says every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice (ACω)).

[F1]

For n≥2, a bounded C1 domain and F∈C1(Ω‾;Rn) satisfy ∫Ωdiv⁡F dx=∫∂ΩF⋅ν dS. (Divergence on a bounded C1 Euclidean domain).

[F2]

The Laplacian is Δu=div⁡∇u. (The Laplacian of a C2 function and of a C2 vector field).

[F3]

The classical normal derivative is ∂νu=Du⋅ν for the outward unit normal. (Classical normal derivative).

[F4]

In this surface-integration convention a bounded C1 domain is nonempty and has dimension n≥2. (Bounded C1 domains and their outward normals).

Proof

technique · direct
1.1givenF2F3F4algebra

For real u, the gradient field F=∇u belongs to C1(Ω‾;Rn) by the stated C2 closure convention. By [F2], div⁡F=Δu, and by [F3], F⋅ν=g at each boundary point.

2.1step 1.1A1F1

Apply the divergence theorem [F1] to the field in step 1.1. It gives ∫ΩΔu dx=∫∂Ωg dS. This use of [F1] requires exactly the Countable Choice assumption [A1].

3.1step 2.1givenalgebra

Since f=−Δu, negating the identity in step 2.1 yields ∫Ωf dx=−∫∂Ωg dS. For complex-valued u,f,g, apply this real calculation separately to real and imaginary parts.

4.1step 3.1F3F4cases∎

If f=0, the identity says the total outward Neumann flux is zero; if also g=0, both sides vanish. The theorem applies on every boundary component with the outward orientation specified in [F3]. The domain class in [F4] excludes the empty set and dimensions zero or one. No converse or sufficiency for existence is asserted.

Source notes

Hunter §1.12, Theorem 1.46, printed pp. 17–18, gives the divergence formula; Hunter §2.5, Theorem 2.23, printed p. 32, gives the same flux identity as the first Green formula with the constant test function. The negative sign comes only from f=−Δu.

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Puncturing a connected open subset of Rn preserves path-connectedness for n≥2

Statement

Let n≥2, let Ω⊆Rn be nonempty, open and connected, and let y∈Ω. Then Ω∖{y} is a nonempty, open, connected, path-connected set.

Facts & Assumptions

Given: The objects and hypotheses in the statement, with Euclidean balls and spheres as in Euclidean spheres and closed balls as subspaces of Rn.

[F1]

A connected open subset of Rn is polygonally connected, and a polygonal path has finitely many affine pieces (For an open subset of Rn, connectedness, path-connectedness and polygonal connectedness are equivalent, Polygonal paths and polygonally connected subsets of Rn).

[F2]

For n≥2, the unit sphere is path-connected (For n≥2, the sphere Sn−1 is path-connected and connected). Translation and positive scaling take a path on the unit sphere continuously to a path on any sphere S2(y,r); indeed ∣y+ru−y−rv∣=r∣u−v∣ for r>0.

[F3]

A path is a continuous map from [0,1], and finitely many continuous pieces that agree at their shared endpoints paste to a continuous path (Paths, path-connected spaces and path components, Continuity may be checked on any open cover, and on any finite closed cover; composites of continuous maps are continuous).

Proof

technique · constructive
1.1F1F3givencaseschoose

Fix x,z∈Ω∖{y}. If x=z, the constant path at x lies in the punctured set. Otherwise [F1] gives a polygonal path γ:[0,1]→Ω from x to z. Choose r>0 small enough that B‾2(y,r)⊂Ω and r<min⁡{∣x−y∣,∣z−y∣}. If γ avoids y, it already gives the required path.

2.1F1givenstep 1.1algebra

Suppose γ meets y. The preimage A=γ−1[B‾2(y,r)] is a finite union of closed intervals: on each of the finitely many affine pieces in [F1], the preimage of the convex closed ball is a closed interval, possibly empty or a point. Its connected components are therefore finitely many closed intervals [aj,bj]. Since the endpoints x,z lie outside the closed ball, each component is contained in (0,1), and continuity and maximality give γ(aj),γ(bj)∈S2(y,r). If aj=bj, that component is a single sphere point and cannot contain y.

3.1F1F2F3step 2.1algebraconstruct

For each component with aj<bj, use [F2] to choose a continuous path on S2(y,r) from γ(aj) to γ(bj), reparameterized on [aj,bj]. Replace γ on those finitely many intervals by these sphere paths and retain it on the intervening closed intervals. The pieces agree at every endpoint, so [F3] gives a continuous path γ~:[0,1]→Ω. Every replacement lies on a sphere of positive radius and hence misses y; the retained portions lie outside the closed ball, apart from singleton components already on the sphere. Some component has positive length because γ meets the interior point y. Thus γ~ avoids y and joins x to z. This also covers any zero-length polygonal pieces and tangencies to the sphere.

4.1

The construction proves path-connectedness, including equal endpoints by the constant path in step 1.1. The set is open: for each x≠y in Ω, openness of Ω gives a ball about x contained in Ω, and shrinking its radius below ∣x−y∣ makes it avoid y. It is nonempty because a ball about y contains y+te1≠y for some sufficiently small t>0, where e1=(1,0,…,0). By [F4] it is connected. The proof covers zero-length polygonal pieces, tangent singleton components and the case x=z; no infinite family of detours or iff claim is used. [F3, F4, given, step 1.1, step 3.1, algebra, cases, discharge-construct] \square

Source notes

This is an elementary local supplier proved from the cited path-connectedness, polygonal-path and finite-pasting interfaces. The underlying path-connectedness facts are treated in the cited topology references; the finite detour construction is given here in full. No external PDE or potential-theory result is used.

CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-30Open item page →

Classical Neumann solutions differ by componentwise constants

Statement

Assume ACω when n≥2. Assume Ω⊂Rn, n≥1, is a bounded C1 domain with finitely many connected components. If u,v∈C2(Ω‾) solve the same Poisson equation and have the same outward normal derivative on ∂Ω, then u−v is constant on each connected component. In particular it is constant when Ω is connected.

Facts & Assumptions

Given: Assume ACω. The set Ω is a bounded C1 open set with finitely many connected components, each a bounded C1 domain; u,v∈C2(Ω‾) have equal Laplacians and equal outward normal derivatives.

[A1]

Countable Choice, written ACω, says that every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice (ACω)).

[F1]

For n≥2, real a∈C2(U‾) and b∈C1(U‾) on a bounded C1 domain, the first Green identity is ∫U(bΔa+Da⋅Db) dx=∫∂Ub∂νa dS. (First Green identity).

[F2]

The classical normal derivative is ∂νa=Da⋅ν, with the continuous interior gradient and the outward unit normal. (Classical normal derivative).

[F3]

For a differentiable map on a nonempty connected open Euclidean set, zero derivative is equivalent to constancy. (A differentiable map on a connected open Euclidean set has zero derivative exactly when it is constant).

[F4]

If a real function is continuous on [a,b] and differentiable on (a,b), then f(b)−f(a)=f′(c)(b−a) for some c∈(a,b). (The mean value theorem, as the case g(x)=x of Cauchy's: for f continuous on [a,b] with a<b and differentiable on (a,b) there is c∈(a,b) with f(b)−f(a)=f′(c)(b−a)).

[F5]

A subset of R is connected exactly when it is order-convex. (A subset of R is connected if and only if it is order-convex, that is, an interval).

[F6]

Sums and scalar multiples of differentiable maps have the corresponding sum and scalar-multiple derivatives. (Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives).

[F7]

For a C2 scalar function, the Laplacian is the trace of the derivative of its gradient. (The Laplacian of a C2 function and of a C2 vector field).

Proof

technique · direct
1.1givenF2F6F7algebra

First take real-valued functions and put w=u−v. By [F6], D(∇w)=D(∇u)−D(∇v); taking traces and using [F7] gives Δw=0 on every component. By [F2] and the same derivative linearity, ∂νw=∂νu−∂νv=0 on its boundary. For complex-valued functions, apply this real argument separately to their real and imaginary parts.

2.1step 1.1A1F1F3algebra

Suppose n≥2 and fix a connected component U. Apply [F1] with a=b=w on U. The volume integrand is wΔw+∣Dw∣2=∣Dw∣2 and the boundary integrand is w∂νw=0, so ∫U∣Dw∣2 dx=0. Continuity of Dw forces Dw=0 throughout U: if it were nonzero at one point, it would be bounded away from zero on a small ball of positive measure. By [F3], w is constant on U. The invocation of [F1] uses precisely the Countable Choice assumption [A1].

2.2step 1.1F3F4F5

Suppose n=1. By [F5], each connected component U is an interval; boundedness makes it an interval with finite endpoints a<b. The equation in step 1.1 is w′′=0. For any x<y in U, the mean value theorem [F4] applied to w′ on [x,y] gives w′(y)−w′(x)=w′′(c)(y−x)=0, so w′ is constant on U. Its continuous trace at the right endpoint is zero because the outward normal there is +1 and ∂νw=0. Thus w′=0 on U, and [F3] gives that w is constant there.

3.1step 2.1step 2.2A1F1cases∎

The components are handled independently, so their constants need not agree. If there is only one component, the conclusion is one constant on all of Ω; zero difference is included. In dimensions at least two, the only use of ACω is through [F1] under [A1]; the interval proof in dimension one uses no choice.

Source notes

Hunter §2.5, Theorem 2.23, equations (2.10)–(2.11), printed p. 32. The energy argument is the Neumann uniqueness corollary of that identity; the one-dimensional case is derived directly to respect the cited theorem's stated n≥2 hypothesis.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Local integrability of the Laplace fundamental kernel

Statement

Assume Countable Choice and n≥2. The normalized Laplace kernel Φ is locally integrable on Rn: its singularity is log⁡∣x∣ for n=2 and ∣x∣2−n for n≥3. It therefore defines a regular distribution.

Facts & Assumptions

Given: Assume ACω and let n≥2. Write ωn−1=∣Sn−1∣ in the chart/polar convention and take the normalized kernel from Fundamental solution for the positive operator minus Laplacian.

[A1]

Countable Choice, written ACω, says every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice (ACω)).

[F1]

For n≥3, Φ(x)=∣x∣2−n/((n−2)ωn−1); for n=2, Φ(x)=−(2π)−1log⁡∣x∣, for x≠0. (Fundamental solution for the positive operator minus Laplacian).

[F2]

Polar integration gives the integral of a nonnegative Borel function as the radial integral against rn−1 dr dσ. (Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma).

[F3]

The chart surface measure equals the polar measure and ωn−1=n∣B1∣. (Agreement with the existing polar sphere measure).

[F4]

Every Euclidean ball of positive radius has positive finite Lebesgue measure. (Euclidean balls have positive finite Lebesgue measure).

[F5]

The nonnegative integral is monotone under pointwise order. (Monotonicity and nonnegative homogeneity of the nonnegative integral).

[F6]

Every compact subset of a metric space is closed and bounded. (A compact subset of a metric space is closed and bounded).

[F7]

Every Borel subset of Rn is Lebesgue measurable under Countable Choice. (Assuming countable choice, every Borel subset of Rn is Lebesgue measurable).

[F8]

A locally integrable function defines the regular functional ⟨uΦ,φ⟩=∫Φφ, which depends only on its almost-everywhere class. (Regular distribution from a locally integrable function).

[F9]

Under Countable Choice, the regular-functional map from Lloc1 modulo almost-everywhere equality takes values in D′. (Locally integrable functions embed in distributions).

[F10]

Under Countable Choice, every singleton in Rn is Lebesgue null. (Every at most countable subset of Rn is Lebesgue null; in particular λ1(Q)=0).

[F11]

The kernel's value at zero may be assigned arbitrarily; the resulting measurable function is interpreted through its locally integrable class. (Fundamental solution for the positive operator minus Laplacian).

Proof

technique · direct
1.1F3F4

By [F3] and [F4], ωn−1=n∣B1∣ is positive and finite in every stated dimension.

2.1F1F2F3F11step 1.1

For n≥3 and any R>0, assign the finite value 0 to the kernel at the pole as permitted by [F11]; then ∣Φ∣1BR is Borel. Apply [F2] and use [F1] and σ(Sn−1)=ωn−1 from [F3] to obtain ∫BR∣Φ(x)∣ dx=1(n−2)ωn−1∫0Rrn−1r2−n ωn−1 dr=R22(n−2)<∞.

2.2F1F2F3F11step 1.1casesalgebra

For n=2 and any R>0, again assign Φ(0)=0 as permitted by [F11]. By [F1]–[F3] and step 1.1, ∫BR∣Φ(x)∣ dx=ω12π∫0Rr∣log⁡r∣ dr. If 0<R≤1, the radial integral is −R22log⁡R+R24; if R≥1, splitting at 1 gives R22log⁡R−R24+12. Both values are finite, including at R=1, and the prefactor is finite by step 1.1.

3.1F1F5F6F7F8step 2.1step 2.2algebra

Let K⊂Rn be compact. By [F6], K is closed and bounded, hence Borel and Lebesgue measurable by [F7]; boundedness and the Euclidean triangle inequality give a centered ball BR containing K. By [F5] and steps 2.1–2.2, ∫K∣Φ∣≤∫BR∣Φ∣<∞ (and the empty K has integral zero). Since [F1] and [F11] make Φ measurable, this is Φ∈Lloc1(Rn) by [F8]'s definition.

4.1A1F2F3F4F7F8F9F10F11step 2.1step 2.2step 3.1cases∎

The regular functional in [F8] is therefore well-defined; [F9], under [A1], proves it is a distribution. The pole value changes only a singleton, which is null by [F10], and the radial integrals prove finiteness at the improper endpoint r=0 and every finite outer radius R>0. The claim assumes n≥2; it makes no global-integrability assertion at R=∞, and Countable Choice is used only through the named polar, surface-measure, ball-measure, Borel-measurability, singleton-null, and embedding interfaces, not full AC.

Source notes

Hunter §2.6.1, printed p.33, states local integrability of the normalized fundamental solution after giving its radial formula; the same passage notes that second derivatives, with size ∣x∣−n, are not locally integrable. Teschl §5.3 equations (5.25)–(5.26), printed pp.117–118, likewise records Φ∈Lloc1 and the different behavior of its second derivatives. The present proof computes the kernel's radial integrals rather than using the source's stated conclusion. The preceding kernel definition also contains this local integrability calculation because it must make the kernel extension meaningful before the current dependency level; this lemma retains its separate promised result and supplies the explicit distribution interface.

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The Laplace fundamental solution is harmonic off its pole

Statement

Assume Countable Choice and n≥2. The displayed Φ is smooth on Rn∖{0} and satisfies ΔΦ=0 there; for every pole y, x↦Φ(x−y) is harmonic on Rn∖{y}.

Facts & Assumptions

Given: ACω, n≥2, and the kernel Φ with the normalization fixed in Fundamental solution for the positive operator minus Laplacian.

[A1]

Countable Choice, written ACω, is the assumption retained from the kernel convention (The Axiom of Countable Choice (ACω)). The differentiation argument below does not use choice.

[F1]

For n≥3, Φ(x)=∣x∣2−n/((n−2)ωn−1) away from zero; for n=2, Φ(x)=−(2π)−1log⁡∣x∣ (Fundamental solution for the positive operator minus Laplacian).

[F2]

A scalar function is Ck when all iterated coordinate derivatives through order k exist and are continuous (Ck maps and multi-index derivative notation in Euclidean space).

[F3]

A Euclidean map is Ck when each component is Ck (Ck Euclidean maps and diffeomorphisms).

[F4]

Finite sums and products and compositions of Ck Euclidean maps are Ck (Ck Euclidean maps are closed under componentwise algebra and composition).

[F5]

The total chain rule gives D(g∘f)=Dg(f)∘Df (The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a)).

[F6]

A total derivative's matrix gives the coordinate partial derivatives (A total derivative computes every directional derivative, and its matrix is the Jacobian).

[F7]

For t>0, (tα)′=αtα−1 for every real α (Continuity and derivatives of positive-base real powers).

[F10]

The Laplacian is the sum of the pure second coordinate partials (The Laplacian of a C2 function and of a C2 vector field).

[F11]

A C2 function whose Laplacian vanishes is harmonic (The Laplacian of a C2 function and of a C2 vector field).

[F12]

Induction on the natural numbers proves a property once its base case and successor step hold (The principle of mathematical induction).

Proof

technique · direct
1.1F2F7F8F9F12inductionalgebra

For any real α, induction on j using [F12] and [F7] gives (tα)(j)=cjtα−j on (0,∞), where c0=1 and cj+1=cj(α−j). Each derivative is continuous by the real-power continuity in [F7], so tα is smooth under [F2]. Also log⁡′(t)=t−1 by [F8]; applying the same derivative calculation to t−1 shows every higher derivative of log⁡t exists and is continuous. Thus both radial profiles used in [F1] are smooth for t>0.

2.1F1F2F3F4F7step 1.1algebra

On U=Rn∖{0}, put s(x)=∑i=1nxi2. Its coordinate functions and their finite sums and products are smooth by direct coordinate differentiation and [F2]–[F4]. Since s(x)>0 on U, the radius r(x)=s(x)1/2 is smooth there by [F7], step 1.1, and closure under composition [F4]. Composing r with the power profile for n≥3 or the logarithm profile for n=2 proves that Φ is smooth on U.

3.1F2F5F6F7F9F10step 1.1step 2.1algebra

For a smooth radial profile q(r) and r=∣x∣>0, the chain rule [F5] and partial-derivative formula [F6] give ∂iq(r)=q′(r)xi/r. Differentiating again by the chain and product rules [F5], [F7] and [F9] gives ∂i2q(r)=q′′(r)xi2/r2+q′(r)(1/r−xi2/r3). Summing over i and using ∑ixi2=r2 and the Laplacian definition [F10] yields Δq(r)=q′′(r)+(n−1)q′(r)/r. The calculation is on r>0, where all derivatives used exist by steps 1.1 and 2.1.

4.1F1F7F8F9step 3.1casesalgebra

If n≥3, set q(r)=r2−n/((n−2)ωn−1). Then q′(r)=−r1−n/ωn−1 and q′′(r)=(n−1)r−n/ωn−1 by [F7] and [F9], so step 3.1 gives ΔΦ=0. If n=2, set q(r)=−(2π)−1log⁡r. Then q′(r)=−(2πr)−1 by [F8]–[F9] and q′′(r)=(2πr2)−1 by applying [F7] to r−1; hence q′′+q′/r=0. These cases exhaust n≥2.

5.1A1F4F5F11step 2.1step 4.1algebra∎

For fixed y, translation x↦x−y has affine coordinate functions, so direct differentiation gives its identity derivative and zero higher derivatives. The chain rule [F5] therefore gives Δx(Φ(x−y))=(ΔΦ)(x−y)=0 whenever x≠y. The translated function is smooth there by [F4], hence is harmonic by [F11]. The assumption ACω in [A1] is carried from the kernel convention but is not used in these pointwise derivative calculations.

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Newtonian potential of compactly supported data

Statement

Assume Countable Choice and n≥2. For a measurable compactly supported f, define Nf(x)=∫RnΦ(x−y)f(y) dy at each x where the integral is absolutely finite. Whenever this integral is finite almost everywhere, Nf also denotes its almost-everywhere class. The following items establish everywhere convergence for bounded compact data and almost-everywhere convergence for compact L1 data; the definition itself makes no unconditional convergence claim.

Definition

Let Af:={x∈Rn:∫Rn∣Φ(x−y)f(y)∣ dy<∞}. For x∈Af, the pointwise value Nf(x) is the displayed Lebesgue integral. If Af has full Lebesgue measure, the phrase “almost-everywhere class of Nf” means the equivalence class under equality outside a Lebesgue null set; one may assign arbitrary values on Afc to obtain a representative on all of Rn. The potential is not asserted to be defined at points outside Af unless a representative extension is explicitly being used.

Facts & Assumptions

Given: Assume ACω, let n≥2, and let f be a finite-valued, Lebesgue-measurable, compactly supported scalar function. Complex-valued data are handled by their real and imaginary parts.

[A1]

Countable Choice, written ACω, says every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice (ACω)).

[F1]

The kernel is given away from zero by the power formula when n≥3 and by the logarithmic formula when n=2. (Fundamental solution for the positive operator minus Laplacian).

[F2]

The kernel's value at zero may be assigned arbitrarily; its locally integrable class is unchanged by that point assignment. (Fundamental solution for the positive operator minus Laplacian).

[F3]

Lebesgue measurability on Rn is the completion of the Borel Lebesgue measure. (L(Rn) is exactly the completion of the restriction of λn to the Borel sets).

[F4]

Under Countable Choice, a function measurable for a completed measure is almost everywhere equal to a function measurable for the original σ-algebra. (A function measurable for a completion is almost everywhere equal to one measurable for the original sigma-algebra).

[F5]

For a nonnegative product-measurable function on a product of σ-finite measure spaces, its section-integral functions are measurable. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).

[F6]

Lebesgue measure on Rn is σ-finite and finite on bounded sets. (Lebesgue measure is sigma-finite, and every metrically bounded subset of Rn has finite outer measure).

[F7]

Under Countable Choice, every at most countable subset of Rn, including a singleton, is Lebesgue null. (Every at most countable subset of Rn is Lebesgue null; in particular λ1(Q)=0).

[F8]

If Φ~ and f~ are Borel representatives, then (x,y)↦Φ~(x−y)f~(y) is Borel on R2n. (Borel representatives make the convolution integrand Borel measurable).

Proof

technique · direct
1.1F1cases

On Rn∖{0} the formulas in [F1] are continuous, so assigning the finite value 0 at the closed singleton {0} gives a Borel representative Φ~ of the kernel.

1.2A1F2F3F4F7

By [F3] and [F4], using [A1], choose a Borel representative f~ equal to f almost everywhere; in the complex-valued case apply [F4] to the real and imaginary parts. Since f is finite-valued, the Borel set where the resulting extended-real representative is infinite is contained in its null exceptional set; reset it to zero there, which keeps it Borel and equal to f almost everywhere and gives a finite-valued representative. For each fixed x, changing f to f~ changes the integrand only on the fixed null exceptional set. Changing the assigned kernel value at zero, arbitrary by [F2], changes the integrand only at y=x, a null singleton by [F7]. Thus both choices preserve the Lebesgue integral, including whether its absolute value is finite.

2.1F5F6F8step 1.1step 1.2

The function H(x,y)=Φ~(x−y)f~(y) is Borel on Rn×Rn by [F8]. By [F6] both Lebesgue measure spaces are σ-finite, so [F5] shows that J(x):=∫Rn∣H(x,y)∣ dy is measurable. Applying [F5] to the positive and negative parts of the real and imaginary parts of H also makes their section integrals measurable.

3.1step 2.1F5

The set Af={x:J(x)<∞} is measurable. On Af, all four section integrals from step 2.1 are finite, and their signed combination is Nf(x), so Nf is measurable on its pointwise domain. If Af has full measure, extending by zero on Afc gives a measurable representative on Rn; any other extension is equal to it almost everywhere and hence represents the same class. No finiteness claim is made at points outside Af.

4.1A1F2F3F4F5F7step 1.2step 3.1cases∎

If f=0, then Af=Rn and Nf=0. The pole assignment and the finite/infinite boundary of the defining integral are handled in steps 1.2–3.1. This definition assumes n≥2; it uses Countable Choice only for the Borel representative and the stated measure interfaces, and no full Axiom of Choice.

Source notes

Hunter §2.7, equation (2.24), printed p.36, names the integral ∫Γ(x−y)f(y) dy the Newtonian potential after proving its smooth compact-data convolution result; the displayed definition itself is not an almost-everywhere convergence theorem. Teschl §5.3, equation (5.21), printed p.117, gives the same integral formula while expressly treating the initial distributional computation as heuristic at that point. Schmidt §2.11, printed p.70, defines the integral for f∈Lcpt∞ and proves everywhere finiteness from Φ∈Lloc1. The present statement separates that convergence question: it defines the integral only where absolutely finite and justifies its measurable almost-everywhere class when that domain has full measure. The next items prove the promised stronger convergence claims for bounded and compact L1 data.

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The negative Laplacian of the fundamental solution is the unit Dirac distribution

Statement

Assume Countable Choice and let n≥2. The locally integrable kernel Φ of Fundamental solution for the positive operator minus Laplacian defines a regular distribution TΦ∈D′(Rn) and satisfies −ΔTΦ=δ0. For every y∈Rn, the regular distribution associated with x↦Φ(x−y) satisfies −ΔxTΦ(⋅−y)=δy.

Facts & Assumptions

Given: Assume ACω, let n≥2, and use the normalized kernel Φ and its locally integrable representative.

[A1]

Countable Choice, written ACω, says every sequence of nonempty sets has a choice function; it is assumed by the kernel, surface-integration and Green-identity interfaces used here. (The Axiom of Countable Choice (ACω)).

[F1]

The kernel is ∣x∣2−n/((n−2)ωn−1) for n≥3 and −(2π)−1log⁡∣x∣ for n=2 away from the pole; its value at zero may be assigned arbitrarily. (Fundamental solution for the positive operator minus Laplacian).

[F2]

The normalized kernel is locally integrable for n≥2. (Local integrability of the Laplace fundamental kernel).

[F3]

Under Countable Choice, the regular-functional map embeds Lloc1 modulo almost-everywhere equality into D′. (Locally integrable functions embed in distributions).

[F4]

Distributional derivatives satisfy ⟨∂αu,φ⟩=(−1)∣α∣⟨u,∂αφ⟩. (Distributional derivative).

[F5]

The Dirac distribution is δa(φ)=φ(a). (Dirac delta and its derivatives).

[F6]

For real u,v∈C2(Ω‾) on a bounded C1 domain, the second Green identity is ∫Ω(vΔu−uΔv)=∫∂Ω(v∂νu−u∂νv) dS, with outward normals. (Second Green identity).

[F7]

For every r>0, Sr is compact and has C1 graph charts near each point: F(x)=⟨x,x⟩ has continuous coordinate partials ∂iF(x)=2xi with sum and power rules for one-variable derivatives, so the continuous-partials theorem gives the total derivative DF(x)h=2⟨x,h⟩; at x∈Sr=F−1(r2) one has DF(x)x=2r2≠0, so DF(x) is surjective and r2 is a regular value of F, and the regular-level graph theorem gives the local C1 charts of Sr. (For n≥1, every Euclidean closed ball and every Euclidean sphere of positive radius is compact, A regular level set is locally a Ck graph of dimension m−n, Regular and critical points, regular and critical values, and level sets, Submersions and immersions between Euclidean open sets, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, For a natural n≥1 the function x↦xn is differentiable everywhere with derivative ι(n) x n−1; for n=0 it is the constant 1, with derivative 0; for a natural n≥1 the function x↦x−n is differentiable at every x≠0 with derivative −ι(n) x−n−1; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: (f+g)′(c)=f′(c)+g′(c), (αf)′(c)=αf′(c), (fg)′(c)=f′(c)g(c)+f(c)g′(c), and (f/g)′(c)=(f′(c)g(c)−f(c)g′(c))/g(c)2 when g(c)≠0, The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn).

[F8]

For r>0, set qn(r)=r2−n/((n−2)ωn−1) if n≥3 and q2(r)=−(2π)−1log⁡r. Differentiation gives qn′(r)=−1/(ωn−1rn−1) if n≥3 and q2′(r)=−1/(2πr); at x=rω, ∣ω∣=1, the outward radial derivative is DωΦ(x)=qn′(r). (Fundamental solution for the positive operator minus Laplacian, Directional derivatives and partial derivatives of a map U⊆Rm→Rn, The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, Continuity and derivatives of positive-base real powers).

[F9]

If measurable functions converge almost everywhere and are dominated by one integrable function, their integrals converge. (Dominated convergence).

[F10]

A test function is smooth and has compact support. (Test function space d of an open set).

[F11]

For a test supported in a compact K, its fixed-support derivative seminorms are finite; in particular its first and second derivatives are bounded. (Fixed support test function frechet space).

[F13]

A compact subset of Rn is bounded. (A compact subset of a metric space is closed and bounded).

[F14]

A bounded C1 domain is a nonempty bounded open set whose boundary is locally a C1 graph with the domain on one side; connectedness is not required. (Bounded C1 domains and their outward normals).

[F15]

The kernel is smooth and harmonic away from its pole. (The Laplace fundamental solution is harmonic off its pole).

[F16]

Translation of a distribution commutes with every constant-coefficient differential operator, and a fundamental solution translating δ0 gives δy. (Fundamental solution of a constant-coefficient operator).

[F17]

Distributions are complex-linear functionals, with bilinear pairing and no conjugation. (Distribution).

[F18]

Under Countable Choice, a singleton in Rn is Lebesgue null. (A box with a degenerate side is Lebesgue null, and so is every coordinate hyperplane in Rn).

[F19]

The regular distribution associated with a locally integrable function is defined by ⟨Tf,φ⟩=∫fφ. (Regular distribution from a locally integrable function).

[F20]

Sr={x:∣x∣=r} and B‾r={x:∣x∣≤r}. (Euclidean spheres and closed balls as subspaces of Rn).

[F22]

Lebesgue measure is invariant under translations, including measurability of translates. (Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation).

[F23]

Integrals of integrable functions are invariant under measure-preserving maps. (Integral invariance under measure-preserving maps).

[F24]

The translate convention is (τyf)(x)=f(x−y). (Translation of a function on Rn).

[F25]

The Laplacian is the sum of the pure second coordinate derivatives. (The Laplacian of a C2 function and of a C2 vector field).

[F26]

A measurable map preserves measure when μ(T−1E)=μ(E) for every measurable set E. (Measure-preserving transformations and systems).

[F27]

Under [A1], surface integration is defined for nonnegative Borel functions on a compact embedded C1 hypersurface; monotonicity and homogeneity of the nonnegative integral show that a bounded continuous function is surface-integrable whenever the surface has finite area, with ∫S∣g∣ dS≤sup⁡S∣g∣∫S1 dS. (Surface integration on compact C1 hypersurfaces, Monotonicity and nonnegative homogeneity of the nonnegative integral).

[F28]

For every r>0 the sphere Sr has surface measure ∣Sr∣=ωn−1rn−1: the unit sphere has measure ωn−1=∣Sn−1∣ in the kernel convention, scaling by r multiplies surface measure by rn−1, and ∣Sn−1∣=n∣B1∣; in dimension two ∣B1∣=V2(1)=π because Γ(2)=1, so ω1=∣S1∣=2π. Combined with the radial derivative [F8], the normalized outward flux on every centered sphere is −∫Sr∂νΦ dS=−qn′(r)∫Sr1 dS=1. (Fundamental solution for the positive operator minus Laplacian, Agreement with the existing polar sphere measure, The closed form for the volume of the unit n-ball, The real Gamma functional equation Γ(s+1)=sΓ(s)).

Proof

technique · direct
1.1A1givenF7F10F12F13F14F20F21cases

First take a real-valued test function φ. If its support is empty then φ=0 and the desired pairing identity is immediate. Otherwise [F10] and [F13] let us choose R>0 with supp⁡φ⊂BR(0). For 0<ε<min⁡{1,R} put Ωε={z:ε<∣z∣<R}. A point with radius strictly between ε and R has a whole small ball in this set by [F12]; radial perturbations at either boundary sphere show ∂Ωε=Sε∪SR by [F20]–[F21]. The point ((R+ε)/2,0,…,0) lies in it and it is bounded by R. Near an outer-sphere point the inner-radius constraint is inactive and the annulus is the inside of that sphere; near an inner-sphere point the outer-radius constraint is inactive and the annulus is the outside of that sphere. The graph charts [F7], with a coordinate reflection when needed, therefore show that the annulus lies locally on one side of each C1 graph. Its outward normals are +ω on SR and −ω on Sε for ω=x/∣x∣, since the annulus lies inside the outer sphere and outside the inner sphere. Thus [F14] makes Ωε a bounded C1 domain; connectedness is not required.

1.2A1F1F8F28F11F27casesalgebra

Let C1:=n p1(φ), where p1 is the finite fixed-support seminorm from [F11]; then C1 bounds ∣Dφ∣. Since the outer radial derivative [F8] is constant on Sε, the flux identity [F28] gives −qn′(ε)∫Sε1 dS=1, so the sphere area is ωn−1εn−1 if n≥3 and 2πε if n=2. By [F27], the bounded continuous inner-boundary integrand is integrable. For n≥3, its absolute integral is at most εC1/(n−2); for n=2 it is at most ε∣log⁡ε∣C1. Both bounds tend to zero as ε↓0.

2.1A1F28F8F10F27step 1.1

On Sε, [F8] gives the outward radial derivative qn′(ε), and step 1.1 gives the annulus normal −ω, so ∂νannΦ=cε:=−qn′(ε)>0. The flux identity [F28] gives cε∫Sε1 dS=1. By [F10] and [F27], the restriction of φ is surface-integrable. Therefore ∫Sεφ ∂νannΦ dS is the normalized spherical average of φ. Its difference from φ(0) is at most sup⁡∣z∣=ε∣φ(z)−φ(0)∣, which tends to zero by continuity at the origin.

2.2A1F6F10F15step 1.1

By [F15], Φ is C2 on a neighborhood of Ωε‾ and ΔΦ=0 there; [F10] gives the same regularity for φ. Apply [F6] with u=Φ and v=φ. The outer-boundary terms vanish because the support lies strictly inside BR(0). On the inner sphere the normal is outward from the annulus. Hence −∫ΩεΦΔφ dz=∫Sε(φ ∂νannΦ−Φ ∂νannφ) dS.

2.3F2F9F11F18step 1.1algebra

Let C2:=n p2(φ), where p2 is the finite fixed-support seminorm from [F11]; then C2 bounds ∣Δφ∣. For any sequence εj→0 with εj>0, after discarding finitely many terms we have εj<1. The measurable functions gj=∣Φ∣1Bεj then tend to zero off the null singleton {0} and are dominated by ∣Φ∣1B1, which is integrable by [F2]. Thus [F9] gives ∫Bεj∣Φ∣→0; as this holds for every such sequence, the limit as ε↓0 is zero. The omitted integral of ΦΔφ is bounded by C2∫Bε∣Φ∣, hence tends to zero and ∫ΩεΦΔφ→∫BRΦΔφ.

3.1F2F3F4F5F19F25step 2.2step 1.2step 2.1step 2.3

Taking ε↓0 in step 2.2 and using steps 1.2, 2.1 and 2.3 yields −∫RnΦ(z)Δφ(z) dz=φ(0); the integral over Rn equals the one over BR because Δφ vanishes off the support. By [F2], [F3] and [F19], TΦ is the regular distribution; [F4] and [F25] identify the left side with ⟨−ΔTΦ,φ⟩, and [F5] identifies the right side with ⟨δ0,φ⟩.

4.1F4F5F17step 3.1cases

For a complex-valued test, apply step 3.1 separately to its real and imaginary parts and combine by complex linearity from [F17]. The pairing is bilinear, with no conjugation, as required by the distribution convention. Hence the identity holds for every test and −ΔTΦ=δ0.

5.1F2F11F12F13F16F18F22F23F24F26A1step 4.1cases∎

For any fixed y∈Rn and test φ, put h(z)=Φ(z)φ(z+y). It is integrable because it is bounded by a constant times ∣Φ∣ on supp⁡φ−y, which lies in a ball by [F12]–[F13]; use [F2] and [F11]. By [F22] and [F26], T−y(x)=x−y preserves Lebesgue measure; [F23] therefore gives ∫h(T−yx) dx=∫h(z) dz, that is, ∫Φ(x−y)φ(x) dx=∫Φ(z)φ(z+y) dz. Thus the translate of TΦ is the regular distribution associated with x↦Φ(x−y), with the sign convention [F24]. Translate the identity in step 4.1: [F16] says constant-coefficient derivatives commute with translation and δ0 translates to δy, so −ΔxTΦ(⋅−y)=δy. The proof handles n=2 and n≥3 separately, excludes the distinct one-dimensional analogue by n≥2, includes the zero test and empty support, and is unchanged by the arbitrary value assigned to Φ(0) because a singleton is null [F18]. The choice cost is exactly [A1], inherited through the named measure and surface Green interfaces; no full Axiom of Choice is used. The statement is not an iff.

Source notes

Hunter §2.5 Theorem 2.23 and its proof give the second Green identity used on the punctured annulus; §2.6.1 gives the radial kernel, derivative and unit flux, and §2.6.2 states the distributional point-source interpretation. Hunter states that last interpretation but does not prove the test-function identity in this passage; steps 1.1–5.1 supply the excision argument, signs and limiting estimates. Teschl §5.3 equations (5.20)–(5.26) supplies the translated fundamental-solution and normalization conventions. Schmidt §2.2 uses the opposite sign, so only its convention comparison is retained; no exercise-class flux assertion is treated as proof.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Bounded compact data give an everywhere finite Newtonian potential

Statement

Assume Countable Choice and let n≥2. Suppose the L∞(Rn) class f has a finite-valued measurable representative f0 with compact support K. Then the Newtonian-potential integral for f0 is absolutely finite at every x∈Rn, and Nf0 is locally bounded. If g is any finite-valued measurable representative with g=f0 almost everywhere, then its integral is also absolutely finite at every x and equals Nf0(x) pointwise.

Facts & Assumptions

Given: Assume ACω, let n≥2, and let f0 be a finite-valued measurable representative of an L∞(Rn) class, with compact support K.

[A1]

Countable Choice, written ACω, says every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice (ACω)).

[F1]

An L∞ function is measurable and has finite essential supremum. (The space L∞(μ) of essentially bounded measurable functions).

[F2]

If its essential supremum is finite, then ∣f0∣≤∥f0∥∞ almost everywhere. (The essential supremum is attained as the least essential bound).

[F3]

The positive-minus-Laplacian kernel is given by its radial power or logarithmic formula away from zero, and its value at zero may be assigned arbitrarily. (Fundamental solution for the positive operator minus Laplacian).

[F4]

The Newtonian potential is the integral ∫RnΦ(x−y)f0(y) dy wherever it is absolutely finite. (Newtonian potential of compactly supported data).

[F5]

The normalized kernel Φ is locally integrable on Rn. (Local integrability of the Laplace fundamental kernel).

[F6]

Local integrability means that the absolute integral on every Euclidean ball of positive radius is finite. (A locally integrable function on Rn).

[F7]

Under ACω, a C1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions. (A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions).

[F8]

Every compact subset of a metric space is closed and bounded. (A compact subset of a metric space is closed and bounded).

[F10]

The determinant of a triangular matrix is the product of its diagonal entries. (The determinant of a triangular matrix is the product of its diagonal entries).

[F11]
[F12]

A nonnegative measurable function has zero integral over a measurable null set. (A nonnegative integral over a null set vanishes).

[F13]

The integral over a measurable set is the integral after multiplying by its indicator. (Integral over a measurable subset).

[F14]

The L1 class is a vector space and its integral is linear. (The Lebesgue integral is linear on L1(μ)).

[F15]

A continuous map pulls back Borel sets to Borel sets. (A continuous map has Borel preimages of Borel sets).

[F16]

Products, sums, differences and absolute values of measurable real-valued functions are measurable. (Arithmetic and lattice operations preserve measurability whenever they are defined).

[F17]

A real measurable function is integrable exactly when its absolute value has finite integral, and its integral is the difference of the integrals of its positive and negative parts. (Integrable real and complex functions, and their integrals).

[F18]

B(c,r)={y:∥y−c∥<r} for r>0. (Open ball, closed ball and sphere in a metric space).

[F19]

A C1 diffeomorphism is a bijection between open sets whose map and inverse are C1. (Ck Euclidean maps and diffeomorphisms).

[F20]

Under ACω, every Borel subset of Rn is Lebesgue measurable. (Assuming countable choice, every Borel subset of Rn is Lebesgue measurable).

[F21]

Under ACω, a C1 diffeomorphism maps Lebesgue measurable sets to Lebesgue measurable sets. (A C^1 diffeomorphism maps Lebesgue measurable sets to Lebesgue measurable sets).

[F22]

Almost-everywhere equality means equality off a measurable null set. (Measure-null sets and almost-everywhere statements relative to a measure).

[F23]

The nonnegative integral is homogeneous for nonnegative scalars, including the zero scalar case. (Monotonicity and nonnegative homogeneity of the nonnegative integral).

[F24]

For n≥1, the Euclidean norm and published metric satisfy ∥x−y∥2=d2(x,y). (Each ∥⋅∥p is a norm on Rn, and the induced metrics are exactly d1, d2 and d∞ of the published metric-spaces page).

Proof

technique · direct
1.1F1F2F8F16F22givencases

Put M:=∥f0∥∞<∞. By [F2] and [F22], there is a measurable null set E outside which ∣f0∣≤M. Define f^=f01Ec. By [F16], f^ is measurable, and ∣f^∣≤M everywhere; it vanishes outside K. The set K is closed and Borel by [F8]. If K=∅, then f0=0 everywhere and the conclusion is immediate, so assume K≠∅.

1.2F8F9F10F15F18F19F24givenalgebra

Fix a ball C=B(c,RC) with RC>0. By [F8], choose p∈Rn and RK>0 with K⊂B(p,RK). Put R:=1+RC+∥c−p∥2+RK>0. For x∈C and y∈K, the norm triangle inequality [F9] applied to x−y=(x−c)+(c−p)+(p−y) gives ∥x−y∥2<R. By [F24] and the ball definition [F18], this yields x−K⊂B(0,R). For a fixed x, define Tx(y)=x−y. Directly, Tx(Tx(y))=y, DTx=−In, and ∣det⁡DTx∣=1 by [F10]. Thus Tx is a C1 diffeomorphism by [F19]. Moreover, x−K=Tx−1(K) is Borel by [F15] and [F8].

2.1A1F3F5F6F7F11F13F16F20F21step 1.2algebra

Choose the finite pole value 0 in [F3]. Since Tx−1=Tx, [F21] shows that preimages under Tx of Lebesgue measurable sets are Lebesgue measurable; hence y↦Φ(x−y) is measurable. The set x−K is Borel by step 1.2, so [F20] and [F16] make hx(z):=1x−K(z)∣Φ(z)∣ nonnegative Lebesgue measurable. Applying [F7] to hx and Tx, with ∣det⁡DTx∣=1, gives ∫x−K∣Φ(z)∣ dz=∫Rnhx(z) dz=∫Rnhx(Tx(y)) dy=∫K∣Φ(x−y)∣ dy, because x−y∈x−K exactly when y∈K. By [F13], [F11] and step 1.2, ∫K∣Φ(x−y)∣ dy≤∫B(0,R)∣Φ(z)∣ dz<∞, where finiteness follows from [F5]–[F6]. This holds uniformly for x∈C.

3.1F1F4F11F16F17F23step 2.1algebra

Since f^ vanishes off K and ∣f^∣≤M, pointwise ∣Φ(x−y)f^(y)∣≤M1K(y)∣Φ(x−y)∣. The translated kernel and f^ are measurable by step 2.1 and [F1, F16], so ux is measurable. Monotonicity [F11] and homogeneity [F23], together with step 2.1, show ∫Rn∣Φ(x−y)f^(y)∣ dy≤M∫K∣Φ(x−y)∣ dy≤M∫B(0,R)∣Φ(z)∣ dz<∞ for every x∈C. By [F17], ux∈L1 and ∫ux=∫ux+−∫ux− with both terms finite and nonnegative, so ∣Nf^(x)∣≤∫∣ux∣. The bound is uniform on C. Taking C=B(x,1) for each x proves absolute finiteness everywhere and local boundedness.

4.1F4F12F13F14F16F17F22step 2.1step 3.1algebra

Let g be any finite-valued measurable representative with g=f0 almost everywhere. By [F22] choose a measurable null set Ng outside which g=f0, and put E′:=E∪Ng. For fixed x, the integrands ug(y):=Φ(x−y)g(y) and uf^(y):=Φ(x−y)f^(y) agree off E′, so d:=ug−uf^ vanishes there. By [F13], ∫∣d∣=∫E′∣d∣=0 using [F12]. Hence d∈L1; step 3.1 gives uf^∈L1, and [F14] gives ug=uf^+d∈L1 with ∫ug=∫uf^. The measurability established in step 2.1 and [F16] justify the products and difference. Thus every such representative has the same pointwise potential value and absolute finiteness.

5.1A1F3F4F5F6F7F20F21step 1.1step 3.1step 4.1cases∎

If M=0, step 1.1 gives f^=0 and step 4.1 gives zero potential for every representative. The case n=1 is excluded by the hypothesis n≥2. Countable Choice is used exactly through the kernel convention, local-integrability, Borel-measurability, measurable-set, and change-of-variables interfaces [F3–F7, F20–F21]; no full Axiom of Choice is used. There are no endpoint claims or biconditional cases.

Source notes

Schmidt §2.11, printed p.70, defines the Newton potential for f∈Lcpt∞ and says the integral is finite because the fundamental solution lies in Lloc1; his kernel F has the opposite sign to the present Φ, which does not affect absolute convergence. The proof above derives the uniform bound and representative independence from the stated local-integrability and measure interfaces. Hunter §2.6.1, printed p.33, states local integrability of the normalized kernel, while §2.7 equation (2.24), printed p.36, names the integral the Newtonian potential after proving the smooth compact-data case. Hunter's passage does not itself prove the present everywhere-finite bounded-data claim; that part is established here.

TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Far-field asymptotics of compact-source Newtonian potentials

Statement

Assume the Axiom of Countable Choice and let n≥2. Fix R>0, and let f:Rn→R be Lebesgue measurable, integrable, and compactly supported, with ∥f∥1:=∫Rn∣f(y)∣ dy<∞, and zero outside the open Euclidean ball BR(0). Put M:=∫Rnf(y) dy and let ωn−1 be the sphere-area normalization in the definition of Φ.

For every x∈Rn with r:=∣x∣>2R, the Newtonian integral Nf(x)=∫RnΦ(x−y)f(y) dy is absolutely finite. If n≥3, then

∣Nf(x)−Mr2−n(n−2)ωn−1∣≤2n−1Rωn−1∥f∥1r1−n.

If n=2, then

∣Nf(x)+M2πlog⁡r∣≤Rπ∥f∥1r−1.

The constants are independent of the direction of x. In particular, when M=0 these are the respective improved orders Nf(x)=O(r1−n) for n≥3 and Nf(x)=O(r−1) for n=2.

Facts & Assumptions

Given: Assume ACω, let n≥2, let R>0, and let f:Rn→R be Lebesgue measurable with ∫Rn∣f∣<∞ and f=0 off BR(0).

[A1]

The Axiom of Countable Choice, written ACω, says every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice (ACω)).

[F2]

Away from its pole the kernel is Φ(z)=∣z∣2−n/((n−2)ωn−1) for n≥3 and Φ(z)=−(2π)−1log⁡∣z∣ for n=2; the value at zero is assigned as in the kernel convention. (Fundamental solution for the positive operator minus Laplacian).

[F3]

A real measurable function is integrable exactly when ∫∣f∣<∞, and its integral is the difference of the finite integrals of its positive and negative parts. (Integrable real and complex functions, and their integrals).

[F4]

The open ball is B(0,R)={y:∥y∥2<R} for R>0. (Open ball, closed ball and sphere in a metric space).

[F5]

The Borel sigma-algebra is generated by the open sets. (The Borel sigma-algebra of a topological space).

[F6]

Continuous maps have Borel preimages of Borel sets. (A continuous map has Borel preimages of Borel sets).

[F7]

Under ACω, every Borel subset of Rn is Lebesgue measurable. (Assuming countable choice, every Borel subset of Rn is Lebesgue measurable).

[F8]

Sums, differences, products and absolute values of measurable real functions are measurable. (Arithmetic and lattice operations preserve measurability whenever they are defined).

[F9]

The nonnegative integral is monotone and homogeneous for nonnegative scalars. (Monotonicity and nonnegative homogeneity of the nonnegative integral).

[F10]

The integral is linear on L1. (The Lebesgue integral is linear on L1(μ)).

[F11]

For an integrable function, ∣∫h∣≤∫∣h∣. (The modulus of an integral is bounded by the integral of the modulus).

[F12]

If a real function is continuous on a closed interval and differentiable on its interior, the mean value theorem gives its difference as an interior derivative times the interval length. (The mean value theorem, as the case g(x)=x of Cauchy's: for f continuous on [a,b] with a<b and differentiable on (a,b) there is c∈(a,b) with f(b)−f(a)=f′(c)(b−a)).

[F13]

For α∈R, (tα)′=αtα−1 on t>0, and tα is continuous there. (Continuity and derivatives of positive-base real powers).

[F15]

Differentiability of a real function at every point of an open interval implies continuity there. (A function differentiable at c is continuous at c).

[F16]

The Newtonian potential is the pointwise integral wherever it is absolutely finite. (Newtonian potential of compactly supported data).

Proof

technique · direct
1.1givenF1F2

Fix x with r:=∣x∣>2R and y∈BR(0), and set s:=∣x−y∣. By [F1], s≥r−∣y∣>r−R>r/2>0 and ∣s−r∣≤∣y∣<R. Every number between r and s is therefore greater than r/2, so neither kernel evaluation below is at the pole.

1.2F2F13F14F15algebra

For t>0, write qn(t)=t2−n/((n−2)ωn−1) when n≥3 and q2(t)=−(2π)−1log⁡t when n=2. By [F2], [F13], and [F14], qn′(t)=−1/(ωn−1tn−1) for n≥3 and q2′(t)=−1/(2πt). These profiles are continuous on every closed interval in (0,∞) and differentiable in its interior; for the logarithm, continuity follows from [F15].

2.1step 1.1step 1.2F12algebracases

If s=r, then Φ(x−y)−Φ(x)=0. Otherwise apply [F12] between r and s; the derivative bounds in step 1.2 and the lower bound in step 1.1 give ∣Φ(x−y)−Φ(x)∣≤Cn∣y∣r1−n, where Cn=2n−1/ωn−1 for n≥3 and C2=1/π. The same bound holds when s=r.

2.2A1F1F2F4F5F6F7F13F14F15F17step 1.1

For this fixed x, y↦Φ(x−y) is continuous on BR(0) by step 1.1 and [F2], [F13]–[F15], and the Euclidean norm is continuous by [F1]. Extend this function by zero outside the open ball to obtain gx, and extend y↦Φ(x−y)−Φ(x) the same way to obtain hx. For any open O⊆R, continuity makes each preimage inside BR(0) relatively open and [F6] makes it Borel; since BR(0) is open by [F17], this relative preimage is open in Rn. The extension's preimage is that set, with BR(0)c adjoined when 0∈O, so [F4], [F5], and [F17] show that gx and hx are Borel. Thus [F7] makes both functions Lebesgue measurable under [A1].

3.1F3F8F9F16step 2.1step 2.2

By [F8], fgx=fΦ(x−⋅) and fhx are measurable. Step 2.1 gives ∣f(y)hx(y)∣≤CnRr1−n∣f(y)∣, while ∣gx(y)∣≤∣Φ(x)∣+CnRr1−n gives ∣f(y)Φ(x−y)∣=∣f(y)gx(y)∣≤(∣Φ(x)∣+CnRr1−n)∣f(y)∣. Since f∈L1, [F3] and [F9] make both products integrable. In particular the Newtonian integral is absolutely finite at x, so [F16] defines Nf(x).

4.1F2F9F10F11step 3.1

Since f vanishes outside BR(0), f(y)Φ(x−y)=Φ(x)f(y)+f(y)hx(y) for every y. Integrability from step 3.1 and [F10] give Nf(x)=MΦ(x)+∫f(y)hx(y) dy. By [F11], then the pointwise bound of step 3.1 and [F9], ∣Nf(x)−MΦ(x)∣≤∫∣f(y)hx(y)∣ dy≤CnR∥f∥1r1−n. Substituting the profiles [F2] yields the stated two estimates, with constants independent of the direction of x.

5.1A1F2F7F16step 4.1cases∎

If M=0, the leading term in step 4.1 vanishes, giving the two improved orders; if f=0, then M=Nf=0 and both bounds hold with equality. The assumptions n≥2 and r>2R exclude dimensions zero and one and the endpoint r=2R. Countable Choice is used only through the kernel and potential conventions [F2], [F16] and the Borel-to-Lebesgue interface [F7]; no full Axiom of Choice is invoked.

Source notes

Hunter, §2.7 equation (2.24) and the following exterior-asymptotic passage, printed pp.36–37, defines the Newtonian potential and, for n≥3, rewrites it as the total-charge leading term times a kernel ratio, then uses dominated convergence to obtain the leading asymptotic. For n=2 Hunter states only that the potential generally grows logarithmically. That passage does not prove the explicit O(r1−n) and O(r−1) remainders or the zero-mass improvements; steps 1.1–4.1 derive those quantitatively from the radial derivatives. Oh, §4.2 Theorem 4.4 and Corollary 4.7, printed pp.59–60, give the harmonic-derivative and growth-class context for applications of these estimates; they are not used to prove the far-field bounds here.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-30Open item page →

Newtonian potentials solve the distributional Poisson equation

Statement

Assume Countable Choice and n≥2. Let f∈L1(Rn) be compactly supported, meaning that it has a representative which vanishes outside a compact set. Then Nf is finite almost everywhere, belongs to Lloc1(Rn), and depends only on the L1 equivalence class of f. Its regular distribution satisfies −ΔTNf=Tfin D′(Rn). The result includes Cc data and compactly supported Lp data for every 1≤p≤∞. If f=0 almost everywhere outside a closed compact set K, then Nf is smooth and harmonic on Rn∖K.

Facts & Assumptions

Given: ACω, n≥2, a compact set K⊆Rn, and an L1 equivalence class with a representative vanishing outside K. Write λn for Lebesgue measure and βn for its restriction to B(Rn).

[A1]

Countable Choice, written ACω, means every sequence of nonempty sets has a choice function. (The Axiom of Countable Choice (ACω))

[F1]

The kernel has the normalized power formula for n≥3 and logarithmic formula for n=2, with its pole value chosen finitely. Its class is locally integrable. (Fundamental solution for the positive operator minus Laplacian, Local integrability of the Laplace fundamental kernel)

[F2]

Lebesgue measure is the completion of βn; under ACω, a completed-measurable function has a Borel representative equal to it almost everywhere. (L(Rn) is exactly the completion of the restriction of λn to the Borel sets, The Borel sigma-algebra of a topological space, A function measurable for a completion is almost everywhere equal to one measurable for the original sigma-algebra)

[F3]

For Borel functions a,b, (x,y)↦a(x−y)b(y) is Borel on R2n; B(R2n)=B(Rn)⊗B(Rn). (Borel representatives make the convolution integrand Borel measurable, The product sigma-algebra and its finite iterates, The Borel product of R^m and R^n is the Borel sigma-algebra of R^{m+n})

[F5]

Tonelli gives measurable section integrals for nonnegative product-measurable functions; Fubini exchanges the iterated integrals of an L1 product function. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, Fubini's theorem for L^1 functions on a sigma-finite product)

[F7]

A test function is smooth with compact support; locally integrable functions define regular distributions, and Countable Choice gives the Lloc1-to-distribution embedding. Distributional derivatives act on tests by the signed test derivative. (Test function space d of an open set, Regular distribution from a locally integrable function, Locally integrable functions embed in distributions, Distributional derivative)

[F10]

The kernel is smooth and harmonic away from its pole. Differentiation may be passed under an integral with a common integrable derivative bound, and dominated convergence gives continuity of the resulting derivative integrals. (The Laplace fundamental solution is harmonic off its pole, Differentiation under the integral sign, Dominated convergence)

[F12]

The point-source identity is −ΔxTΦ(⋅−y)=δy for every y. (The negative Laplacian of the fundamental solution is the unit Dirac distribution)

[F13]

The Newton potential is the integral convolution at every point where the absolute integral is finite. (Newtonian potential of compactly supported data)

[F14]

Bounded compactly supported data have an everywhere-finite potential, independent of their finite-valued representative. (Bounded compact data give an everywhere finite Newtonian potential)

[F15]

For any measure μ and measurable sets Ek, μ(⋃kEk)≤∑kμ(Ek). In particular a countable union of measurable λn-null sets is null, since the right side is zero. (Finite and countable subadditivity of measures)

[F16]

Arithmetic operations on measurable functions preserve measurability; continuous maps have Borel preimages. (Arithmetic and lattice operations preserve measurability whenever they are defined, A continuous map has Borel preimages of Borel sets)

Proof

technique · direct
1.1A1F1F2F3F4F16construct

Choose a finite-valued representative f0 vanishing outside K. By [F2] and [A1], apply the completed-measurable representative theorem separately to the real and imaginary parts of f0, reset any nonfinite exceptional values to zero, and combine them using [F16] to obtain a finite Borel representative equal to f0 almost everywhere. Reset it to zero off K and call it f~. Set Φ(0)=0; its displayed radial formula is continuous away from the singleton pole, so it is Borel. By [F3], H(x,y)=Φ(x−y)f~(y) is Borel, hence product-measurable for βn⊗βn. The open balls B(0,m) are Borel and exhaust Rn; they have finite βn-measure by [F4], so βn is sigma-finite.

1.2F4F8F11F14cases

For compactly supported Lp data with 1<p<∞, Hölder [F8] on the finite-measure set K gives ∫K∣f∣≤∥f∥p∥1K∥q=∥f∥pλn(K)1/q<∞, where 1/p+1/q=1. The case p=1 is immediate, and the endpoint p=∞ uses the endpoint clause of [F8]; moreover the bounded-data result [F14] gives everywhere absolute convergence there. A continuous compactly supported g∈Cc is bounded on its compact support by [F11], whose measure is finite by [F4], so it too belongs to L1. This verifies the stated Cc and full 1≤p≤∞ inclusions.

2.1F4F9F13casesstep 1.1

The compact set K is closed and bounded, hence Borel, and has finite λn-measure by [F4]. If K=∅ or λn(K)=0, then f~ vanishes off a null set, so [F9] gives Nf(x)=0 with absolute convergence for every x; the L1 class is zero. Assume henceforth K≠∅ and choose R>0 with K⊂B(0,R).

2.2F1F9F13F16algebrastep 1.1

If g is any other finite-valued measurable representative of the same L1 class, then for each fixed x the functions y↦Φ(x−y)g(y) and y↦Φ(x−y)f~(y) agree outside a null set; their absolute values are measurable by [F16]. For nonnegative measurable functions agreeing off a null set, split each integral over that set and its complement; [F9] shows the two extended absolute integrals agree. Thus absolute finiteness is equivalent for the two representatives. When finite, their difference is integrable with integral zero by [F9], so linearity gives equal potential values. The pole assignment also changes the integrand only on the null singleton {x}. Therefore Nf depends only on the L1 class, with equality at every point where the integrals are defined.

3.1F1F4F6F8algebrastep 2.1

Fix an integer m≥1 and y∈K. For x∈B(0,m), the Euclidean triangle inequality gives x−y∈B(0,m+R). Translation by −y preserves Lebesgue integrals by [F6], so ∫B(0,m)∣Φ(x−y)∣ dx=∫B(0,m)−y∣Φ(z)∣ dz≤∫B(0,m+R)∣Φ(z)∣ dz=:Cm,R<∞, where finiteness follows from [F1] and the last inequality from [F8].

3.2F2F4F9F10F11F13step 1.1step 2.1algebra

Let x0∉K. If K=∅, then Nf=0 and the claim holds. Otherwise, since K is closed, choose r>0 such that B(x0,2r)∩K=∅. For x∈B‾(x0,r) and y∈K, the triangle inequality and boundedness of K give r≤∣x−y∣≤M for some finite M. Choose y0∈K. Since B(x0,2r)∩K=∅, ∣x0−y0∣≥2r>r and the upper bound gives ∣x0−y0∣≤M, so x0−y0∈A:={z:r≤∣z∣≤M} and A is nonempty. The annulus A is closed because the norm is continuous [F11] and [r,M] is closed; it is bounded by M, hence compact. Every continuous derivative DαΦ is therefore bounded on A [F11]. Thus for each multi-index α there is Cα<∞ with ∣DαΦ(x−y)f~(y)∣≤Cα∣f~(y)∣1K(y). The majorant is integrable since f~=f almost everywhere and ∫K∣f~∣=∥f∥1<∞ by [F2, F9]. Applying differentiation under the integral sign coordinate by coordinate on a small box about x0, and dominated convergence for continuity of each derivative, proves Nf∈C∞ near x0. Since ΔxΦ(x−y)=0 for x≠y by [F10], differentiating twice yields ΔNf(x)=0 there. Therefore Nf is smooth and harmonic on Rn∖K.

4.1step 3.1F2F4F5F9F16algebrastep 1.1

Apply Tonelli [F5] to the nonnegative Borel function ∣H(x,y)∣1B(0,m)(x)1K(y). Using step 3.1 gives ∫B(0,m)∫K∣Φ(x−y)f~(y)∣ dy dx≤Cm,R∫K∣f~(y)∣ dy=Cm,R∥f∥L1<∞, where the last equality uses [F2, F9] because f~=f almost everywhere and βn completes to λn. Thus the complex function H is in L1(B(0,m)×K) for every m.

5.1step 4.1F2F4F5F8F13F15

Fubini [F5] on each such product shows that for almost every x∈B(0,m) the section y↦H(x,y)1K(y) is absolutely integrable, and its integral is an L1(B(0,m)) function with integral of its absolute value at most the finite bound in step 4.1, by the integral triangle inequality [F8]. These section integrals agree with Nf(x) wherever absolutely finite by [F13]. The balls B(0,m) exhaust Rn, so, writing Em for the measurable exceptional set in B(0,m), [F15] gives λn(⋃m≥1Em)≤∑m≥1λn(Em)=0. Thus Nf is finite almost everywhere on all of Rn; assign it value zero on this null set. Each compact set lies in some B(0,m) by [F4], proving Nf∈Lloc1(Rn).

6.1F2F3F5F7F9F11F12F13F16step 4.1step 1.1step 5.1

Let φ∈D(Rn) and choose m with supp⁡φ⊂B(0,m). The function H(x,y)=Φ(x−y)f~(y) is Borel by [F3]. The pullback of the Borel function −Δφ by the first-coordinate projection is Borel: the preimage of a Borel set E is E×Rn, which belongs to the product sigma-algebra and hence to the Euclidean Borel sigma-algebra by [F3]. The test function is smooth, so Δφ is continuous; [F16] gives its Borel measurability. Thus G(x,y)=H(x,y)(−Δφ(x)) is Borel by [F16]. Since Δφ is bounded and compactly supported, step 4.1 shows G is integrable on the product. Fubini therefore gives ∫RnNf(x)(−Δφ(x)) dx=∫Kf~(y)(∫RnΦ(x−y)(−Δφ(x)) dx)dy. The inner integral is φ(y) by the translated point-source identity [F12]. Hence the right side is ∫Kf~(y)φ(y) dy.

7.1F7step 5.1step 6.1

By [F7], step 6.1 is exactly ⟨−ΔTNf,φ⟩=⟨Tf,φ⟩ for every test φ. The locally integrable embedding makes both sides distributions, so they are equal in D′.

8.1A1F1F2F7F12step 2.1step 1.2cases∎

The logarithmic kernel at n=2 and power kernel at n≥3 are both covered by [F1], [F2] and [F12]; the distinct n=1 case is excluded by the statement. The zero source and empty or null support were handled in step 2.1; the Hölder endpoint cases p=1,∞ are explicit in step 1.2. Countable Choice is used to obtain a Borel representative, and is inherited by the published kernel identity and distribution embedding [F2, F7, F12]. No full Axiom of Choice or later result is used; the statement is not an iff.

Source notes

Schmidt §2.11, Remark (3), printed pp.70–71, proves the very weak pairing identity for compactly supported L∞ data by Fubini and the point-source calculation. Schmidt uses the opposite kernel sign, so FSchmidt=−Φ; the formula becomes −Δ(Nf)=f in the convention here. The argument above extends the source class to compactly supported L1 by the local uniform kernel bound, Tonelli and Fubini.

Hunter §2.7, Theorem 2.25 and proof, printed pp.34–36 (PDF pp.39–41), proves the pointwise equation for smooth compactly supported data. It does not state the present L1 theorem; its smooth-data proof is contextual only.

Teschl §5.3, equations (5.19)–(5.21) and Lemma 5.17, archived author manuscript printed pp.117–118, gives the convolution formula and proves harmonicity of integrals of harmonic kernels by Fubini and the mean-value property. The present off-support smoothness is derived from the local uniform derivative bound instead.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-30Open item page →

Hölder data give a classical Newtonian solution

Statement

Assume Countable Choice, let n≥2, and let α∈R satisfy 0<α<1. Let f:Rn→C be continuous and compactly supported, with finite global Hölder seminorm [f]α;Rn:=sup⁡x≠y∣f(x)−f(y)∣∣x−y∣α<∞. This is the convention for f∈Cc0,α(Rn) here; the positive-base real power is as in Real powers for positive bases, with the zero-base positive-exponent convention. Put ∥f∥C0,α:=sup⁡Rn∣f∣+[f]α;Rn. Then the Newtonian integral from Newtonian potential of compactly supported data is absolutely finite for every x, belongs to C2(Rn), and its second derivatives are locally α-Hölder continuous. In particular Nf∈Cloc2,α(Rn), where this notation means that Nf is C2 and each second partial derivative has finite α-Hölder seminorm on every compact set. Moreover, −ΔNf(x)=f(x)(x∈Rn). For every x∈Rn and every r>0 with supp⁡f⊂Br(x), the absolutely convergent cancellation formula is ∂i∂jNf(x)=∫Br(x)∂i∂jΦ(x−y)(f(y)−f(x)) dy−δijnf(x),0≤i,j<n. For each compact K⊂Rn, a constant depending only on n, α and bounds for K and supp⁡f satisfies max⁡∣β∣≤2sup⁡x∈K∣∂βNf(x)∣+max⁡∣β∣=2[∂βNf]α;K≤C ∥f∥C0,α.

Facts & Assumptions

Given: ACω, n≥2, 0<α<1, and the continuous, compactly supported datum f with finite global seminorm specified above.

[A1]

The only choice assumption is Countable Choice, ACω. It enters through the choice-qualified hypotheses of the kernel, polar and surface integration, divergence, compact-data potential, and distribution interfaces used below; no full Axiom of Choice is assumed or used. (The Axiom of Countable Choice (ACω))

[F1]

For n≥3 the kernel profile is qn(s)=s2−n/((n−2)ωn−1), and for n=2 it is q2(s)=−(2π)−1log⁡s; the kernel is locally integrable and its value at the pole is immaterial. (Fundamental solution for the positive operator minus Laplacian)

[F3]

The chart sphere measure agrees with polar measure, is invariant under orthogonal maps, and scales by Rn−1 on radius-R spheres. Polar integration uses rn−1dr dσ. In dimension two, ∣B1∣=π and ω1=2π. (Agreement with the existing polar sphere measure, Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, The closed form for the volume of the unit n-ball, The real Gamma functional equation Γ(s+1)=sΓ(s))

[F4]

A smooth function equal to one on B‾1(0) and supported in B2(0) exists; its rescalings give smooth cutoffs vanishing on B‾ε(0) and equal to one outside B2ε(0), with first and second derivative bounds Cε−1 and Cε−2. (A smooth bump between concentric Euclidean balls)

[F5]

Differentiation under an integral is valid when the parameter derivative has a common integrable majorant. A uniform limit of one-variable derivatives, together with convergence at one point, identifies the derivative of the function limit; continuous partial derivatives give a continuously differentiable map. (Differentiation under the integral sign, If continuously differentiable functions converge at one point and their derivatives converge uniformly on a closed interval, then the functions converge uniformly to a differentiable function whose derivative is the derivative limit, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative)

[F6]

The divergence theorem applies to bounded C1 Euclidean domains under ACω. A sphere S(a,r) is a compact embedded C1 hypersurface and its surface integral is the chart surface integral: S(a,r)=F−1(r2) for F(z)=⟨z−a,z−a⟩, whose continuous coordinate partials give the total derivative DF(z)h=2⟨z−a,h⟩ with DF(z)(z−a)=2r2≠0 on the sphere, so r2 is a regular value and the regular-level graph theorem supplies the local C1 charts. (Divergence on a bounded C1 Euclidean domain, Bounded C1 domains and their outward normals, Euclidean spheres and closed balls as subspaces of Rn, A regular level set is locally a Ck graph of dimension m−n, Regular and critical points, regular and critical values, and level sets, Submersions and immersions between Euclidean open sets, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, For a natural n≥1 the function x↦xn is differentiable everywhere with derivative ι(n) x n−1; for n=0 it is the constant 1, with derivative 0; for a natural n≥1 the function x↦x−n is differentiable at every x≠0 with derivative −ι(n) x−n−1; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: (f+g)′(c)=f′(c)+g′(c), (αf)′(c)=αf′(c), (fg)′(c)=f′(c)g(c)+f(c)g′(c), and (f/g)′(c)=(f′(c)g(c)−f(c)g′(c))/g(c)2 when g(c)≠0, The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn, Surface integration on compact C1 hypersurfaces)

[F8]

For the defining integral Nf(x)=∫Φ(x−y)f(y)dy, under ACω the Newtonian potential of compactly supported bounded data is everywhere absolutely finite and locally bounded. For compactly supported L1 data its regular distribution solves −ΔTNf=Tf. (Newtonian potential of compactly supported data, Bounded compact data give an everywhere finite Newtonian potential, Newtonian potentials solve the distributional Poisson equation)

[F9]

For C2 functions, classical derivatives agree with distributional derivatives under ACω. The map from Lloc1 classes to distributions is injective. A nonempty Euclidean ball has positive Lebesgue measure. (Distributional differentiation is continuous and commutes, Locally integrable functions embed in distributions, Euclidean balls have positive finite Lebesgue measure)

[F12]

For a differentiable scalar function on a real interval, the mean value theorem bounds its increment by its derivative bound times the interval length. (The mean value theorem, as the case g(x)=x of Cauchy's: for f continuous on [a,b] with a<b and differentiable on (a,b) there is c∈(a,b) with f(b)−f(a)=f′(c)(b−a))

Proof

technique · direct
1.1A1F1F2F3algebra

Put r=∣z∣. Differentiating the two profiles in [F1] using [F2] and [F11] gives, for every z≠0 and all i,j, ∂iΦ(z)=−ziωn−1rn,Kij(z):=∂i∂jΦ(z)=nzizjr−n−2−δijr−nωn−1. A further differentiation and the displayed formulas give ∣DΦ(z)∣≤Cnr1−n, ∣Kij(z)∣≤Cnr−n, and ∣DKij(z)∣≤Cnr−n−1. The trace of the Hessian formula is zero away from 0. Thus the same estimates hold in the logarithmic and power cases; in n=2 [F3] gives the needed ω1=2π.

1.2A1F7F8givencases

By continuity and compact support, [F7] gives ∥f∥∞<∞. The bounded-data potential lemma [F8] makes the integral for Nf(x) absolutely finite at every point and locally bounded, including when f=0 or its support is empty.

1.3F4F5F11given

Choose the smooth bump ρ from [F4] and set ηε(z)=1−ρ(z/ε) and qε(z)=Φ(z)ηε(z), assigning qε(0)=0. Then qε is smooth: it is zero near 0 and equals the smooth kernel off B2ε. Its derivatives of orders one and two in the transition annulus are bounded by the product rule and [F4]. Define uε(x)=∫qε(x−y)f(y) dy. Differentiation under the integral sign [F5] applies on every compact x-set: the support of f is compact and, for fixed ε, the kernel derivatives are bounded on the corresponding difference set.

2.1A1F3F6step 1.1

Orthogonal invariance in [F3] gives ∫Sn−1θiθj dσ=0 for i≠j by coordinate reflection. Coordinate permutations make all diagonal integrals equal, and ∑iθi2=1 makes each equal ωn−1/n. Therefore, on the sphere centered at x, ∫∂BR(x)∂iΦ(x−y)νj(y) dS(y)=δijn, where ν(y)=(y−x)/R is its outward normal. This follows by substituting y=x+Rθ and the first formula of step 1.1. The same calculation in the variable z gives ∫∂BR(0)∂iΦ(z)zj/R dS(z)=−δij/n.

2.2A1F3F5F7F11step 1.1step 1.3algebra

The difference uε−Nf is supported in the kernel variable ∣x−y∣<2ε, so [F7] and polar integration [F3] give a uniform-in-x bound ∥f∥∞∫B2ε∣Φ(z)∣dz, which tends to zero like O(ε2) for n≥3 and O(ε2(1+∣log⁡ε∣)) for n=2. Also Gi(x):=∫∂iΦ(x−y)f(y) dy is absolutely finite, since DΦ is locally integrable by step 1.1 and f is bounded with compact support. From the product rule, the difference ∂iuε−Gi is bounded uniformly in x by Cn∥f∥∞(∫B2ε∣z∣1−ndz+ε−1∫B2ε∣Φ(z)∣dz), which tends to zero (the second term is O(ε(1+∣log⁡ε∣)) when n=2). Thus uε→Nf and ∂iuε→Gi uniformly on compact sets. The limit Gi is continuous as a locally uniform limit of continuous functions.

3.1F5step 2.2

Fix a sequence εk↓0, for example εk=2−k. Restrict to any closed coordinate segment inside an open box. For each real and imaginary component, [F5] and step 2.2 give convergence of the smooth restrictions at one point and uniform convergence of their derivatives in the chosen coordinate. Hence the uniform derivative limit theorem [F5], applied separately to both components, shows that the corresponding partial derivative of Nf exists and equals Gi. The continuous-partials theorem [F5], applied to the real two-component map (Re⁡Nf,Im⁡Nf), makes Nf∈C1 with ∂iNf=Gi.

3.2A1F5F6F11step 2.1algebra

Fix a compact box Q and choose R>0 so that supp⁡f⊂BR(x) for every x∈Q, with a positive margin. For ε<R/2, differentiating Gi,ε:=∂iuε and using f=0 off its support gives ∂jGi,ε(x)=∫BR(x)∂i∂jqε(x−y)(f(y)−f(x))dy+f(x)∫BR(x)∂i∂jqε(x−y)dy. The second integral equals −δij/n: change variables z=x−y, apply the divergence theorem [F6] to the smooth field ∂iqε(z)ej on BR(0), and use the last sphere integral in step 2.1, since qε=Φ near that boundary.

4.1A1F2F3F4F5F11step 1.1step 3.2algebra

Set Hij(x):=∫BR(x)Kij(x−y)(f(y)−f(x))dy−δijnf(x). The singular integral is absolutely convergent: its absolute integrand is at most Cn[f]α;Rn∣x−y∣α−n, whose polar radial integral at zero is a constant times ∫0Rrα−1dr<∞. In the omitted inner ball ∣z∣<ε, D2qε=0, so the error from replacing it by Kij after multiplication by ∣f(x−z)−f(x)∣ is at most Cn,α[f]α;Rn∫0εrα−1 dr≤Cn,α[f]α;Rnεα. On the transition annulus ε<∣z∣<2ε, the product rule, [F4], and the kernel estimates of step 1.1 bound the same error by Cn,α[f]α;Rn(εα+εα(1+∣log⁡ε∣)1{n=2}). Outside B2ε the kernels agree. The total error tends to zero by [F2], uniformly for x∈Q. Therefore ∂jGi,ε→Hij uniformly on Q. Each Hij is continuous as this uniform limit.

5.1A1F5F6F10step 2.1step 2.2step 4.1

Use the same sequence εk from step 3.1 and apply [F5]'s uniform derivative limit theorem separately to the real and imaginary components on coordinate segments in Q, now for Gi,ε and their j-derivatives. Steps 2.2 and 4.1 supply the function and derivative limits, so ∂jGi=Hij. Apply the continuous-partials theorem [F5] to the real two-component map as in step 3.1 to obtain Nf∈C2 on the box and ∂i∂jNf=Hij there; use mixed partial symmetry on the same two real components as in Continuous mixed partials of order k are invariant under permutations. Since every point lies in such a box, this holds throughout Rn. The radius R was any sufficiently large containing radius. Comparing the expression for two such radii shows independence: their difference is the integral of Kij over an annulus against the constant −f(x), and the divergence theorem turns it into the difference of the two outer sphere fluxes, both −δij/n in the z=x−y orientation. Thus the formula in the Statement holds for every r>0 whose centered ball contains the support.

5.2A1F2F3F5F6F11F12step 1.1step 3.2step 4.1

We prove the local Hölder estimate. Take distinct x,x′ in a compact box Q; the case x=x′ is trivial. Put m=(x+x′)/2 and d=∣x−x′∣>0. Choose one radius R so large that for every pair in Q, supp⁡f⊂BR(m), the ball BR(m) has positive distance from both poles to its boundary, and R≥2d. For any bounded C1 domain Ω with supp⁡f∪{x}⊂Ω, choose ε so small that B2ε(x)⊂Ω and qε=Φ near ∂Ω. Since f vanishes outside Ω and uε is defined by convolution, ∂j∂iuε(x)=∫Ω∂j∂iqε(x−y)f(y)dy=∫Ω∂j∂iqε(x−y)(f(y)−f(x))dy−f(x)∫∂Ω∂iqε(x−y)νj(y)dS(y), where the last equality is the divergence theorem in y and uses ∂yj∂iqε(x−y)=−∂xj∂iqε(x−y). By the inner-ball and transition-annulus estimates of step 4.1, the first integral tends to ∫ΩKij(x−y)(f(y)−f(x))dy; the boundary integral equals gΩ(x) for these small ε. The left side tends to Hij(x) by steps 3.2 and 4.1. Thus Hij(x)=∫ΩKij(x−y)(f(y)−f(x))dy−f(x)gΩ(x),gΩ(x)=∫∂Ω∂iΦ(x−y)νj(y)dS(y). We use this formula with the fixed domain Ω=BR(m) for both x and x′. Splitting the integral difference into Bd(m) and its complement, the inner part is at most Cn,α[f]α;Rn∫Bd(m)(∣x−y∣α−n+∣x′−y∣α−n)dy≤Cn,α[f]α;Rndα. On Ω∖Bd(m) write the integrand difference as [Kij(x−y)−Kij(x′−y)](f(y)−f(x))−(f(x)−f(x′))Kij(x′−y). The mean-value theorem [F12] and ∣DKij(z)∣≤Cn∣z∣−n−1 bound the first term by Cn[f]αd∣y−m∣α−n−1. Its integral is bounded by Cn,α[f]αdα, because d∫d∞rα−2dr=dα/(1−α). For the second term, apply the divergence theorem to the annulus BR(m)∖B‾d(m); the two boundary fluxes of DΦ are bounded by Cn using ∣DΦ(z)∣≤Cn∣z∣1−n and R≥2d. Its contribution is at most Cn[f]αdα. Finally, reflection through m and the oddness of DΦ show gΩ(x)=gΩ(x′), while the same outer-sphere bound gives ∣gΩ(x)∣≤Cn. Hence ∣f(x)gΩ(x)−f(x′)gΩ(x′)∣≤Cn[f]αdα. Together these bounds give [Hij]α;Q≤Cn,α[f]α;Rn. The estimates use the real exponent strictly below 1 in the convergent outer radial integral.

6.1A1F3F7step 1.2step 2.2step 4.1step 5.2

On a compact K, choose R0 so supp⁡f and K lie in a fixed bounded ball. Then for all x∈K, the integrals for Nf and DNf are bounded by ∥f∥∞ times the integrals of ∣Φ∣ and ∣DΦ∣ over a fixed ball, which are finite by polar integration [F3]. The formula of step 4.1 bounds ∣D2Nf(x)∣ by Cn,α,R0[f]α;Rn+n−1∥f∥∞. Together with step 5.2 this is the displayed local C2,α estimate.

6.2A1F8F9F10step 1.2step 5.1cases

By compact support and continuity, f is integrable, so [F8] applies and gives −ΔTNf=Tf. Since Nf∈C2, classical/distributional compatibility [F9] and the Laplacian convention [F10] give T−ΔNf−f=0. Injectivity in [F9] makes this continuous difference zero almost everywhere. If it were nonzero at a point, continuity would make its modulus bounded below by a positive number on some nonempty ball, which has positive measure by [F9], a contradiction. Hence −ΔNf=f pointwise.

7.1

If f=0 or supp⁡f=∅, the integral and every term in the cancellation formula vanish. The proof covers n=2 by the logarithmic profile and n≥3 by the power profile. Dimensions n=1 and n=0 are outside the theorem's explicit range; the estimates and Green normalization used here are stated for n≥2. The strict endpoint restrictions 0<α<1 are used in local integrability of rα−1 and convergence of ∫d∞rα−2dr. All radii and boxes are chosen individually from bounded sets; the only stated choice axiom is ACω in [A1]. The result is one-way and asserts no converse. [A1, F1, F2, F3, step 1.1, step 1.2, step 4.1, step 5.2, step 6.2, cases] □

Source notes

Hunter, Notes on Partial Differential Equations, §2.7 Theorem 2.26 and Corollary 2.27, printed pp.37–39, prove the cancellation identity for smooth compactly supported data; Theorem 2.28, printed pp.40–43, proves the Hessian Hölder estimate for smooth data and says a density extension is available. I read the full proofs. The density sentence does not itself prove the present pointwise regularity claim for arbitrary Hölder data, so the cutoff and uniform-limit steps above are supplied here.

Teschl, Partial Differential Equations: From Classical to Modern, §5.3 Theorem 5.19, printed pp.119–121, gives the same regularity strategy. Its proof says the two-dimensional adaptation is left as an exercise; I derived the logarithmic cutoff bounds explicitly in steps 2.2 and 3.2.

Schmidt, Partial Differential Equations I (2026), §2.11 regularity theorem (II), printed pp.74–77, states the C2,α conclusion and proves the cutoff, cancellation, and split-region seminorm estimates. I read the complete argument. Schmidt uses ΔF=δ0 and F=−Φ in the present convention; this reverses both the correction sign and equation, giving −ΔNf=f and −δijf(x)/n here. The displayed proof derives those signs from the local kernel and the centered-sphere boundary orientation, not by copying the opposite-sign formula.

DefinitionDefinition: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Dirichlet Green function for minus Laplacian

Statement

Assume the Axiom of Countable Choice, written ACω, and let n≥2. Let Ω⊂Rn be a bounded domain, and use the kernel Φ fixed by Fundamental solution for the positive operator minus Laplacian. A Dirichlet Green function for −Δ on Ω is a function GΩ:{(x,y)∈Ω×Ω:x≠y}→R such that for each pole y∈Ω there is a harmonic function Hy∈C2(Ω)∩C(Ω‾) with Hy(z)=Φ(z−y)(z∈∂Ω),GΩ(x,y)=Φ(x−y)−Hy(x)(x∈Ω∖{y}). For fixed y, GΩ(⋅,y) is harmonic away from y, extends continuously to Ω‾∖{y}, and has zero boundary trace. Its locally integrable representative defines TGΩ(⋅,y)∈D′(Ω) and satisfies −ΔxTGΩ(⋅,y)=δyin D′(Ω). The definition is conditional: it applies only when such a corrector Hy exists for every pole y; it asserts no existence for every bounded domain. No boundary smoothness is required for this definition.

Facts & Assumptions

Given: ACω, n≥2, a bounded domain Ω, and a family of correctors Hy with the stated harmonicity, continuity, and boundary values.

[A1]

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

[F1]

The normalized kernel Φ is locally integrable and its value at its pole may be assigned arbitrarily (Fundamental solution for the positive operator minus Laplacian).

[F2]

The kernel is smooth and harmonic away from its pole (The Laplace fundamental solution is harmonic off its pole).

[F3]

For every y∈Rn, −ΔxTΦ(⋅−y)=δy in D′(Rn) under ACω (The negative Laplacian of the fundamental solution is the unit Dirac distribution).

[F4]

If f∈Ck(Ω), then its regular distribution satisfies ∂αTf=T∂αf for ∣α∣≤k, under ACω (Distributional differentiation is continuous and commutes).

[F5]

A locally integrable function defines its regular functional by integration (Regular distribution from a locally integrable function).

[F6]

Under Countable Choice, locally integrable functions embed as regular distributions in D′(Ω) (Locally integrable functions embed in distributions).

[F7]

The distributional Poisson equation −ΔT=F is an equality of distributions on the open set (Distributional harmonicity and Poisson's equation on an open subset of Rn).

Proof

technique · direct
1.1givenF1F2F4F5F6algebra

Fix y∈Ω. On Ω∖{y}, both x↦Φ(x−y) and Hy are harmonic by [F2] and the given corrector property, so their difference GΩ(⋅,y) is harmonic there. Since Φ(⋅−y) is locally integrable by [F1] and Hy∈C2(Ω) has its regular distribution by [F4], their difference is locally integrable on Ω; choose any value at y, which does not affect its almost-everywhere class or regular distribution.

1.2givenF1F2algebra

Because y is an interior point, some ball Br(y) lies in Ω, and hence every boundary point is distinct from y. The function x↦Φ(x−y) is continuous on Ω‾∖{y} by its smoothness away from the pole, and Hy is continuous there by hypothesis. Thus their difference gives a continuous extension of GΩ(⋅,y) to Ω‾∖{y}. On ∂Ω the two terms agree, so this extension has boundary value zero. No boundary chart or normal is involved.

2.1A1F3F4F5F6F7step 1.1algebra

Regard the locally integrable functions in step 1.1 as regular distributions using [F5]–[F6]. By [F4] and ΔHy=0, −ΔTHy=T−ΔHy=0 on Ω. The restriction of [F3] from Rn to test functions in Cc∞(Ω) gives −ΔTΦ(⋅−y)=δy on Ω. Linearity of the regular functional and of distributional differentiation, together with GΩ(⋅,y)=Φ(⋅−y)−Hy almost everywhere, therefore gives −ΔTGΩ(⋅,y)=δy in the sense of [F7].

3.1

The argument includes both kernel cases already fixed by [F1], namely the logarithmic kernel when n=2 and the power kernel when n≥3; n=1 and dimension zero are excluded by the stated hypothesis. It proves properties of a Green function only after the correctors are given and does not prove that correctors exist. Countable Choice is used through [F3], [F4], and [F6], exactly the named distributional embedding and classical-derivative interfaces; no full Axiom of Choice is used. There is no iff assertion. [A1, F1, F3, F4, F6, given, cases] □

Source notes

Teschl §5.4, equations (5.33)–(5.34), defines the harmonic correction with boundary values equal to the fundamental solution and forms the Green function by subtraction; the surrounding text explicitly defines existence only when the harmonic Dirichlet problem is solvable for every pole. Schmidt §2.8, printed pp.44–45, defines the Green function through harmonic cancellation and zero boundary limits, then notes that the singularity has the same type as the fundamental solution. Schmidt uses ΔF=δ0 and a nonpositive Green function; the convention here is obtained by Φ=−F and GΩ=−GSchmidt. The distributional point-source assertion here is proved from the already established kernel identity rather than inferred from a citation or from the word “Green function.”

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

A bounded-domain Dirichlet Green function is unique and positive

Statement

Assume Countable Choice and n≥2. Let Ω⊆Rn be bounded, nonempty, open and connected, and suppose a Dirichlet Green function as in Dirichlet Green function for minus Laplacian exists. Then it is unique and GΩ(x,y)>0 for every distinct x,y∈Ω. No boundary differentiability is needed, and existence is not asserted.

Facts & Assumptions

Given: The objects and hypotheses in the statement, the kernel Φ fixed by Fundamental solution for the positive operator minus Laplacian, and correctors supplied by the Green-function definition.

[A1]

Countable Choice, written ACω, is an assumption of the Green and kernel conventions used here (The Axiom of Countable Choice (ACω)).

[F1]

For each pole, the Green definition supplies a corrector Hy∈C2(Ω)∩C(Ω‾) with boundary values Hy(z)=Φ(z−y) and GΩ(x,y)=Φ(x−y)−Hy(x) away from the pole (Dirichlet Green function for minus Laplacian).

[F2]

The kernel is Φ(x)=∣x∣2−n/((n−2)ωn−1) for n≥3 and Φ(x)=−(2π)−1log⁡∣x∣ for n=2, with ωn−1>0 (Fundamental solution for the positive operator minus Laplacian).

[F3]

A real C2 function on a bounded open set that is continuous on its closure and has Δu≥0 has its closure maximum on the boundary (Weak maximum principle for the laplacian).

[F4]

If instead Δu≤0, its closure minimum is on the boundary (Weak minimum principle for the laplacian).

[F5]

For every η>0 there is an integer N≥1 with 1/N<η (For every ε>0 in a complete ordered field there is a natural n≥1 with 1/n<ε).

[F6]

Positive reciprocals reverse strict order: 0<a<b implies 0<b−1<a−1 (Inverses of positives are positive, and reciprocation reverses order).

[F7]

The natural logarithm is strictly increasing and onto R, and log⁡(1/s)=−log⁡s for s>0 (Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm).

[F9]

If n≥2, deleting one point from a nonempty connected open subset of Rn leaves a nonempty, open, connected, path-connected set (Puncturing a connected open subset of Rn preserves path-connectedness for n≥2).

[F10]

A harmonic function on a connected domain that attains a global maximum or minimum in the domain is constant (Strong maximum principle for harmonic functions).

[F11]

For fixed y, GΩ(⋅,y) is harmonic away from y, extends continuously to Ω‾∖{y}, and has zero boundary trace (Dirichlet Green function for minus Laplacian).

[F12]

Mathematical induction applies to properties of natural numbers (The principle of mathematical induction).

[F13]

The order on R makes it a totally ordered field (The reals form a totally ordered field).

[F14]

Positive elements of an ordered field are closed under multiplication; in particular, a product of nonnegative reals is nonnegative (Ordered field, The reals form a totally ordered field).

[F15]

The Laplacian of a C2 function is the sum of its pure second partial derivatives (The Laplacian of a C2 function and of a C2 vector field).

[F17]

A C2 function is harmonic exactly when its Laplacian is zero (The Laplacian of a C2 function and of a C2 vector field).

[F16]

Total derivatives obey sum and scalar rules, and their coordinate partials are obtained by applying them to standard basis vectors; applying these facts twice gives linearity of each second partial of C2 functions (Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives, A total derivative computes every directional derivative, and its matrix is the Jacobian).

Proof

technique · direct
1.1F1F3F4F15F16F17givenalgebra

Suppose G and G~ are two Green functions with correctors Hy and H~y. For fixed y, w=Hy−H~y is C2, and [F15]–[F16] give Δw=ΔHy−ΔH~y=0, so it is harmonic by [F17]; it is continuous on Ω‾ and zero on ∂Ω. The weak maximum principle [F3] gives w≤0, and the weak minimum principle [F4] gives w≥0. Hence w=0 and G(x,y)=G~(x,y) for all x≠y. This holds for every pole, proving uniqueness.

1.2F1givenchoose

Fix y∈Ω. Continuity of Hy at y gives r0>0 and M=∣Hy(y)∣+1 such that ∣Hy(x)∣≤M whenever ∣x−y∣<r0; shrink r0 if needed so B‾2(y,r0)⊂Ω.

1.3F2F5F6F8F12F13F14algebrachoose

Suppose n≥3, put m=n−2≥1 and C=1/((n−2)ωn−1)>0. For 0<r<1, induction on k∈N for the property 0<rk+1≤r starts with equality at k=0; if it holds at k, then rk+2=rk+1r>0 and rk+1−rk+2=rk+1(1−r)≥0 by [F13, F14], so it holds at k+1. Thus [F12] gives rm≤r. By [F8], r2−n=r−m=1/rm≥1/r. Given L>0, [F5] with η=C/L gives N≥1 with 1/N<C/L; [F6] then gives N>L/C. Thus 0<r<min⁡{1,1/N} implies Φ(r)=Cr−m≥C/r>CN>L. This proves Φ(r)→+∞ as r↓0 for every n≥3.

1.4F2F5F6F7algebrachoose

Suppose n=2 and put C=1/(2π)>0. For any L>0, surjectivity in [F7] gives s0>0 with log⁡s0>L/C. Apply [F5] to 1/s0 and then [F6] to obtain an integer N>s0. Whenever 0<r<1/N, [F6] gives 1/r>N>s0, so [F7] yields Φ(r)=Clog⁡(1/r)>Clog⁡s0>L. Hence Φ(r)→+∞ as r↓0 in dimension two as well.

2.1F1step 1.2step 1.3step 1.4algebrachoose

By steps 1.3 and 1.4, choose 0<ry<r0 so that Φ(x−y)>M whenever 0<∣x−y∣≤ry. Then GΩ(x,y)=Φ(x−y)−Hy(x)>0 on that punctured closed ball. This is the local strict positivity near the pole.

3.1F4F11step 2.1givencases

Let x∈Ω with ∣x−y∣>ry and choose 0<ε<min⁡{ry,∣x−y∣}. The set D=Ω∖B‾2(y,ε) is bounded, open, and contains x. A point outside ∂Ω∪S2(y,ε) has a neighborhood either contained in D or disjoint from D, so ∂D⊆∂Ω∪S2(y,ε). By [F11], GΩ(⋅,y) is harmonic on D and continuous on D‾. Its boundary values are zero on ∂Ω and positive on S2(y,ε) by step 2.1. The weak minimum principle [F4] therefore gives GΩ(x,y)≥0. Points with 0<∣x−y∣≤ry already have strict positivity by step 2.1, so GΩ(⋅,y)≥0 throughout Ω∖{y}.

4.1F9F10F11F15F16F17step 2.1step 3.1assume-contracontradictiondischarge-contradictionalgebra

By [F9], Ω∖{y} is a connected open set. The Green function is harmonic there by [F11], so its negative is harmonic by [F15]–[F17]. Step 3.1 gives GΩ≥0 there. Assume it vanishes at some x≠y [assume-contra]. Then −GΩ(⋅,y) attains its global maximum 0 at that interior point. By [F10] it is constant on the punctured domain, contradicting the strict positivity near y from step 2.1. Therefore GΩ(x,y)>0 whenever x≠y [contradiction, discharge-contradiction].

5.1A1F1F2F5step 1.3step 1.4cases∎

The argument treats n=2 and all n≥3 separately, excludes n=1 and dimension zero by the hypothesis, and makes no boundary smoothness or existence claim. Countable Choice is retained exactly because the preceding Green and kernel conventions assume it; the maximum principles and puncture argument add no choice principle, and the pointwise thresholds use only the Archimedean property. There is no iff assertion.

Source notes

Teschl §5.4 Theorem 5.21, printed p.124, establishes uniqueness for the classical Dirichlet problem. Lemma 5.23, printed pp.126–127, assumes a bounded connected domain, proves Green positivity by using the blow-up at the pole and a strong minimum principle, and notes that connectedness is required for positivity. The proof here derives the power/log blow-up and punctured-domain connectedness explicitly; it uses weak minimum on the bounded punctured domains and the strong maximum principle on Ω∖{y}.

Schmidt §2.8 remarks (2)–(3), printed pp.44–45, derives uniqueness from uniqueness of the harmonic corrector and the weak maximum principle, then derives nonpositivity under ΔF=δ0. Here Φ=−F, so that sign comparison supports nonnegativity only; strict positivity is proved above.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Symmetry of the Dirichlet Green function

Statement

Assume Countable Choice, written ACω, and let n≥2. Let Ω⊂Rn be a bounded C1 domain carrying a Dirichlet Green function GΩ for −Δ. Suppose its designated harmonic correctors satisfy Hy∈C2(Ω‾) for every y∈Ω. Then GΩ(x,y)=GΩ(y,x)(x,y∈Ω, x≠y).

Facts & Assumptions

Given: Assume ACω, n≥2, a bounded C1 domain Ω, the Green function defined by Dirichlet Green function for minus Laplacian, and the stated C2(Ω‾) regularity of every corrector.

[A1]

Countable Choice is the only choice assumption. The Green-kernel, surface-measure, and second Green identity conventions below assume it; all radius choices in the proof are pointwise. No full Axiom of Choice is used. (The Axiom of Countable Choice (ACω))

[F1]

For each pole p, GΩ(z,p)=Φ(z−p)−Hp(z) is harmonic away from p, extends continuously to the boundary away from the pole, and has zero boundary trace. (Dirichlet Green function for minus Laplacian)

[F14]

A harmonic function is C2 with Δ=0. (The Laplacian of a C2 function and of a C2 vector field)

[F15]

The normalized kernel is smooth away from its pole. (The Laplace fundamental solution is harmonic off its pole)

[F2]

For n≥3, Φ(z)=∣z∣2−n/((n−2)ωn−1); for n=2, Φ(z)=−(2π)−1log⁡∣z∣, where ωn−1=∣Sn−1∣. (Fundamental solution for the positive operator minus Laplacian)

[F3]

On a bounded C1 domain and real C2-closure functions, the second Green identity is ∫D(vΔu−uΔv) dx=∫∂D(v∂νu−u∂νv) dS, with every normal outward from D. (Second Green identity)

[F4]

The sphere chart measure scales by rn−1 and ∣Sn−1∣=n∣B1∣. (Agreement with the existing polar sphere measure)

[F5]

A bounded C1 domain is a nonempty bounded open set with locally C1 graph boundary; connectedness is not required, and C2(D‾) uses continuous extensions of derivatives through order two. (Bounded C1 domains and their outward normals)

[F6]

The sphere S2(a,r) is the level set F−1(r2) of F(z)=⟨z−a,z−a⟩; the coordinate partials ∂iF(z)=2(zi−ai) are continuous, so the continuous-partials theorem gives DF(z)h=2⟨z−a,h⟩, and at z∈S2(a,r) one has DF(z)(z−a)=2r2≠0; thus r2 is a regular value, and positive-radius spheres are regular level sets and hence locally C1 graphs by the regular-level graph theorem. (Euclidean spheres and closed balls as subspaces of Rn, A regular level set is locally a Ck graph of dimension m−n, Regular and critical points, regular and critical values, and level sets, Submersions and immersions between Euclidean open sets, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, For a natural n≥1 the function x↦xn is differentiable everywhere with derivative ι(n) x n−1; for n=0 it is the constant 1, with derivative 0; for a natural n≥1 the function x↦x−n is differentiable at every x≠0 with derivative −ι(n) x−n−1; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: (f+g)′(c)=f′(c)+g′(c), (αf)′(c)=αf′(c), (fg)′(c)=f′(c)g(c)+f(c)g′(c), and (f/g)′(c)=(f′(c)g(c)−f(c)g′(c))/g(c)2 when g(c)≠0, The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn)

[F7]

The classical normal derivative is the gradient dotted with the outward unit normal. (Classical normal derivative)

[F8]

Directional derivatives are derivatives of the line map t↦f(a+tw). (Directional derivatives and partial derivatives of a map U⊆Rm→Rn)

[F9]

For s>0, (sα)′=αsα−1; for s>0, log⁡′(s)=1/s. (Continuity and derivatives of positive-base real powers, The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t)

[F10]
[F11]

V2(1)=π, using Γ(2)=1 from the Gamma functional equation; hence ω1=∣S1∣=2π. (The closed form for the volume of the unit n-ball, The real Gamma functional equation Γ(s+1)=sΓ(s))

[F12]

For an integrable surface function, the modulus of its integral is at most the integral of its modulus; the nonnegative integral is monotone and homogeneous. (The modulus of an integral is bounded by the integral of the modulus, Monotonicity and nonnegative homogeneity of the nonnegative integral)

[F13]

On a compact embedded C1 hypersurface the chart formula defines surface integration and area. (Surface integration on compact C1 hypersurfaces)

Proof

technique · direct
1.1givenF5F6choosealgebra

Fix distinct x,y∈Ω. Openness gives radii rx,ry>0 with B‾2(x,rx),B‾2(y,ry)⊂Ω. For 0<ε<min⁡{rx/4,ry/4,∣x−y∣/5} put Dε=Ω∖(B‾2(x,ε)∪B‾2(y,ε)). The balls are disjoint and lie strictly inside Ω. The point x+2εe1 lies in Dε, so it is nonempty; it is bounded and open. Its boundary is the disjoint union of ∂Ω and the two spheres. The outer boundary remains locally a C1 graph; each sphere is a regular level set and the positive separations prevent any boundary intersections. Thus Dε is a bounded C1 domain under [F5] even if it is disconnected. On either spherical boundary, with θ=(z−a)/ε for its centre a, the outward normal of Dε is −θ.

2.1A1F1F3F5F14F15step 1.1algebra

On Dε set u(z)=GΩ(z,x) and v(z)=GΩ(z,y). By [F1] and [F14], both are harmonic there. Their C2(Ω‾) correctors and the smooth-kernel fact [F15] show u,v∈C2(Dε‾). Apply [F3]. The volume integral is zero; on ∂Ω both functions vanish, so the outer boundary integral is zero. Therefore 0=Ix(ε)+Iy(ε), where Ia(ε):=∫S2(a,ε)(v∂νu−u∂νv) dS and each normal is outward from Dε.

2.2A1F2F4F7F8F9F11F13F16step 1.1algebra

By [F2] and [F9], for s>0 the radial derivative is Φn′(s)=−1/(ωn−1sn−1) when n≥3. For n=2 the same formula follows from [F9] and [F11]. The direction of the hole normal is −θ by step 1.1, and [F7]–[F8] identify the normal derivative with differentiation in that direction. Thus on a hole sphere, ∂νΦ(z−a)=−Φn′(ε)=1/(ωn−1εn−1). By [F4] and [F13], its sphere area is ωn−1εn−1; the singular normal derivative consequently has integral 1. The compact-sphere hypothesis for [F13] follows from [F16]. The corrector and its first derivatives are bounded near each pole by their continuity.

3.1F1F2F4F7F8F9F10F12F13F14step 2.1step 2.2algebra

On S2(x,ε), [F1] and [F14] make v and ∇v continuous across x, so v(z)→v(x) uniformly there and ∂νv is bounded. The singular profile and local boundedness of Hx give ∣u(z)∣≤Cε2−n for n≥3, and ∣u(z)∣≤C(1+∣log⁡ε∣) for n=2. By [F12] and the sphere-area formula in [F4], ∣∫S2(x,ε)u∂νv dS∣≤sup⁡∣∂νv∣sup⁡∣u∣ ωn−1εn−1, which is O(ε) for n≥3 and O(ε(1+∣log⁡ε∣)) for n=2. Also [F7]–[F8] and step 2.2 give ∂νu=1/(ωn−1εn−1)−∂νHx. Since v and DHx are bounded near x, [F12] and [F4] bound the corrector contribution by O(εn−1). The remaining term is the surface average of v: its difference from v(x) is at most sup⁡S2(x,ε)∣v−v(x)∣, which tends to zero by continuity and the area formula [F4]. Finally, for 0<ε<1, [F10] with t=1/ε gives ε∣log⁡ε∣=log⁡(t)/t→0. Therefore Ix(ε)→v(x)=GΩ(x,y).

4.1F1F2F4F7F8F9F10F12F13F14step 2.1step 2.2step 3.1algebra

At y, the same estimates as in step 3.1 with the pole roles reversed give ∫S2(y,ε)v∂νu dS→0 and ∫S2(y,ε)u∂νv dS→u(y). Hence Iy(ε)→−u(y)=−GΩ(y,x).

5.1A1F1F2F4F10step 2.1step 3.1step 4.1casesalgebra∎

Taking limits in the identity from step 2.1 using the two limits in steps 3.1 and 4.1 gives GΩ(x,y)−GΩ(y,x)=0. The estimates cover the logarithmic case n=2 and the power cases n≥3; the theorem excludes n=1 and the coincident poles because its Green function is defined only for distinct poles. Countable Choice is inherited through [A1] and the cited kernel and surface-measure conventions; radius choices are pointwise, and no full Axiom of Choice is used. There is no iff claim.

Source notes

Teschl §5.4, Lemma 5.23, printed pp.126–127, applies the second Green identity on a twice-punctured domain and takes the two sphere limits separately. Its kernel indexing is transposed relative to this pair, so the proof here uses u(z)=GΩ(z,x) and v(z)=GΩ(z,y) directly from the local Green definition and does not assume symmetry. Schmidt §2.8, symmetry remark (4), printed p.45, gives the two-pole calculation under C1 regularity off the poles. Schmidt uses ΔF=δ0 and a nonpositive Green function; the convention here is Φ=−F and GΩ=−GSchmidt. The signs above are independently checked from the local positive-minus-Laplacian kernel and the outward normals of the punctured domain.

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Poisson kernel from a Dirichlet Green function

Definition

Assume the Axiom of Countable Choice, written ACω, and let n≥2. Let Ω⊂Rn be a bounded C1 domain carrying a Dirichlet Green function GΩ for −Δ. For every pole p∈Ω, assume its designated corrector satisfies Hp∈C2(Ω‾), as required by the Green-symmetry hypothesis.

For x∈Ω and y∈∂Ω, define the boundary-slot normal derivative by ∂νyGΩ(x,y):=Dz(Φ(z−x)−Hx(z))∣z=y⋅νΩ(y), and define the Poisson kernel by PΩ(x,y):=−∂νyGΩ(x,y). Here Φ is the positive-minus-Laplacian fundamental solution fixed in Dirichlet Green function for minus Laplacian, and νΩ is the published outward unit normal. The derivative in the boundary variable is the trace from interior points, not a derivative of a function initially defined on ∂Ω.

Facts & Assumptions

Given: ACω, n≥2, the bounded C1 domain Ω, its Dirichlet Green function, and the correctors Hp∈C2(Ω‾) for every p∈Ω.

[A1]

The Axiom of Countable Choice is written ACω (The Axiom of Countable Choice (ACω)). The Green definition, bounded-C1/surface convention, and Green-symmetry theorem carry this same assumption (Dirichlet Green function for minus Laplacian, Bounded C1 domains and their outward normals, Symmetry of the Dirichlet Green function). Here its substantive role is exactly the symmetry step 3.1, which identifies the slots; the collar geometry and normal-trace calculation require no further choice.

[F1]

For each pole x, GΩ(z,x)=Φ(z−x)−Hx(z) for interior z≠x (Dirichlet Green function for minus Laplacian).

[F2]

The Green-symmetry hypothesis requires Hx∈C2(Ω‾) for every pole x (Symmetry of the Dirichlet Green function).

[F3]

The normalized kernel Φ is smooth away from its pole (The Laplace fundamental solution is harmonic off its pole).

[F4]

Under the stated hypotheses, GΩ(x,z)=GΩ(z,x) for all distinct interior points (Symmetry of the Dirichlet Green function).

[F5]

A bounded C1 domain is a bounded open set with locally C1 graph boundary and its published outward unit normal (Bounded C1 domains and their outward normals).

[F6]

A positive-radius Euclidean sphere is the level set F−1(r2) of F(z)=⟨z−x,z−x⟩: the coordinate partials ∂iF(z)=2(zi−xi) are continuous, so the total derivative is DF(z)h=2⟨z−x,h⟩, and DF(z)(z−x)=2r2≠0 at every z∈S2(x,r); hence r2 is a regular value of F. (Euclidean spheres and closed balls as subspaces of Rn, Regular and critical points, regular and critical values, and level sets, Submersions and immersions between Euclidean open sets, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, For a natural n≥1 the function x↦xn is differentiable everywhere with derivative ι(n) x n−1; for n=0 it is the constant 1, with derivative 0; for a natural n≥1 the function x↦x−n is differentiable at every x≠0 with derivative −ι(n) x−n−1; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: (f+g)′(c)=f′(c)+g′(c), (αf)′(c)=αf′(c), (fg)′(c)=f′(c)g(c)+f(c)g′(c), and (f/g)′(c)=(f′(c)g(c)−f(c)g′(c))/g(c)2 when g(c)≠0, The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn).

[F7]

Regular level sets are locally C1 graphs (A regular level set is locally a Ck graph of dimension m−n).

[F8]

For a C1 function up to a bounded C1 boundary, the classical normal derivative is its boundary gradient dotted with the outward unit normal (Classical normal derivative).

Verification

1.1givenF5F6F7choosealgebra

Fix x∈Ω. Openness gives r>0 with B‾2(x,2r)⊂Ω. Set Dr=Ω∖B‾2(x,r). It is bounded and open, its boundary is the disjoint union of ∂Ω and S2(x,r), and the latter is a regular level set, hence locally a C1 graph by [F6]–[F7]. The outer boundary retains the C1 charts from [F5]. The point x+32re1 belongs to Dr, so Dr is nonempty; connectedness is not required in the bounded C1 convention. Therefore Dr is a bounded C1 domain.

2.1F1F2F3step 1.1algebra

On D‾r, the formula [F1] expresses GΩ(z,x) as Φ(z−x)−Hx(z). The closure of Dr stays away from x; [F2] and the off-pole smoothness in [F3] therefore give a C2 extension of this function to D‾r. In particular, its first derivative has a continuous boundary trace on the outer component ∂Ω.

3.1A1F1F2F3F4step 2.1algebra

For every interior z∈Dr, [F4] identifies GΩ(x,z) with GΩ(z,x). Thus the first-variable derivative of the right-hand expression in [F1] gives the unique continuous trace of the derivative in the second variable of GΩ(x,z) as z approaches y∈∂Ω. The assumption [A1] is inherited from the Green definition and the bounded-C1/surface convention; its only substantive use here is [F4], through the Green-symmetry theorem, to identify the slots. The collar regularity is pointwise and choice-free. No full Axiom of Choice is used.

4.1

Restricting GΩ(⋅,x) to Dr meets the hypotheses of the published classical normal derivative in [F8]. On the outer boundary its outward normal is νΩ, since the excised sphere lies strictly inside Ω. The formula in the Definition is therefore exactly the classical outward normal derivative trace, and it is independent of the chosen sufficiently small r. The minus sign fixes the positive-kernel convention. No Sobolev trace or conormal derivative is asserted. [F5, F8, step 1.1, step 2.1, step 3.1, algebra] □

Source notes

Teschl §5.4, equation (5.35), printed p. 125, defines the Poisson kernel as the negative outward normal derivative of the Green function in its second variable. Equation (5.34) expresses that Green function as the fundamental solution minus a harmonic corrector; the stated C2(Ω‾) regularity makes the boundary trace used here classical. Schmidt §2.8, printed pp. 45–46, gives the Green-symmetry hypothesis and representation formula. Schmidt uses the opposite Laplacian/Green sign convention; translating to −Δ and the positive Green function yields the same negative-outward-derivative convention. These citations support the definition; the interior-slot trace is identified from the explicitly stated local symmetry hypothesis.

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Green representation for classical Poisson data

Statement

Assume Countable Choice, let n≥2, and let Ω⊂Rn be a bounded C1 domain carrying a Dirichlet Green function GΩ for −Δ whose designated correctors satisfy Hy∈C2(Ω‾) for every pole y; let PΩ(x,y)=−∂νyGΩ(x,y) be the Poisson kernel. Then for every real u∈C2(Ω‾) and every x∈Ω, u(x)=∫ΩGΩ(x,y)(−Δu(y))dy+∫∂ΩPΩ(x,y)u(y) dS(y). Both integrals are absolutely finite. Moreover PΩ≥0 on Ω×∂Ω, and ∫∂ΩPΩ(x,y) dS(y)=1(x∈Ω).

Facts & Assumptions

Given: ACω, n≥2, the bounded C1 domain Ω, its Dirichlet Green function with correctors Hy∈C2(Ω‾), the real datum u∈C2(Ω‾), and a point x∈Ω.

[A1]

Countable Choice, written ACω, says every sequence of nonempty sets has a choice function (The Axiom of Countable Choice (ACω)). The Green, Poisson-kernel, surface and Green-identity conventions used below all carry this assumption, and no full Axiom of Choice is invoked.

[F1]

The Green function satisfies GΩ(z,y)=Φ(z−y)−Hy(z) for z≠y, is harmonic in z away from its pole, extends continuously to Ω‾∖{y} with zero boundary trace, and its existence is conditional on the correctors (Dirichlet Green function for minus Laplacian).

[F2]

Under the stated hypothesis Hy∈C2(Ω‾) for every pole, the Green function is symmetric: GΩ(z,y)=GΩ(y,z) for all distinct z,y∈Ω (Symmetry of the Dirichlet Green function).

[F3]

The kernel is Φ(w)=∣w∣2−n/((n−2)ωn−1) for n≥3 and Φ(w)=−(2π)−1log⁡∣w∣ for n=2, off its pole; it is smooth and harmonic off the pole, and its value at the pole may be assigned arbitrarily (Fundamental solution for the positive operator minus Laplacian, The Laplace fundamental solution is harmonic off its pole).

[F4]

On every bounded nonempty open set D⊂Rn, a real v∈C2(D)∩C(D‾) with Δv≤0 has its minimum on ∂D (Weak minimum principle for the laplacian). Connectedness is not required.

[F5]

The Poisson kernel is defined by PΩ(x,y)=−∂νyGΩ(x,y), where the boundary-slot normal derivative is the trace of Dz(Φ(z−x)−Hx(z))⋅νΩ(y) as z→y from inside (Poisson kernel from a Dirichlet Green function).

[F6]

For a bounded C1 domain with real U,V∈C2(Ω‾), ∫Ω(VΔU−UΔV) dz=∫∂Ω(V∂νU−U∂νV) dS, all normals outward, including normals on holes (Second Green identity).

[F7]

A bounded C1 domain is a nonempty bounded open set whose boundary is locally, after a rigid change of coordinates, the graph z=h(y) of a C1 function with the domain locally exactly the subgraph z<h(y); the outward unit normal is the transported (−Dh,1)/1+∣Dh∣2, and F∈C2(Ω‾) means F and its derivatives through order two extend continuously to the closure (Bounded C1 domains and their outward normals).

[F8]

A positive-radius Euclidean sphere S(x,ε) is a compact regular level set of F(z)=⟨z−x,z−x⟩: the coordinate partials ∂iF(z)=2(zi−xi) are continuous, the total derivative is DF(z)h=2⟨z−x,h⟩, and DF(z)(z−x)=2ε2≠0 at every z∈S(x,ε), so ε2 is a regular value and the sphere is locally a C1 graph by the regular-level graph theorem (Euclidean spheres and closed balls as subspaces of Rn, A regular level set is locally a Ck graph of dimension m−n, Regular and critical points, regular and critical values, and level sets, Submersions and immersions between Euclidean open sets, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, For a natural n≥1 the function x↦xn is differentiable everywhere with derivative ι(n) x n−1; for n=0 it is the constant 1, with derivative 0; for a natural n≥1 the function x↦x−n is differentiable at every x≠0 with derivative −ι(n) x−n−1; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: (f+g)′(c)=f′(c)+g′(c), (αf)′(c)=αf′(c), (fg)′(c)=f′(c)g(c)+f(c)g′(c), and (f/g)′(c)=(f′(c)g(c)−f(c)g′(c))/g(c)2 when g(c)≠0, The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn).

[F9]

Chart surface measure on Sn−1 equals the polar measure and satisfies ∣Sn−1∣=n∣B1∣=ωn−1; the chart surface measure of S(x,ε) is ωn−1εn−1 (Agreement with the existing polar sphere measure).

[F10]

On a compact embedded C1 hypersurface the surface integral is defined by chart integration, constants have finite integral equal to the constant times the surface measure, and signed integrands with finite absolute integral are integrated through positive and negative parts (Surface integration on compact C1 hypersurfaces).

[F11]

For u∈C1(Ω‾) the classical normal derivative is ∂νu(z)=Du(z)⋅ν(z) on ∂Ω, with Du the continuous interior gradient extension (Classical normal derivative); directional derivatives are Dvf(a)=ddt∣t=0f(a+tv) (Directional derivatives and partial derivatives of a map U⊆Rm→Rn).

[F12]

The chain rule and the partial-derivative formula compute derivatives of compositions; the derivative of ∣⋅∣ and of the two kernel profiles are obtained from these and the real-power and logarithm derivative rules (The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a), A total derivative computes every directional derivative, and its matrix is the Jacobian, Continuity and derivatives of positive-base real powers, The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents).

[F13]

The normalized kernel is locally integrable on Rn: its absolute integral over every Euclidean ball is finite (Local integrability of the Laplace fundamental kernel, A locally integrable function on Rn); ε∣log⁡ε∣→0 as ε↓0 (The logarithm grows more slowly than every positive real power).

[F15]

A continuous function on a closed interval that is differentiable inside has f(b)−f(a)=f′(c)(b−a) for some interior c (The mean value theorem, as the case g(x)=x of Cauchy's: for f continuous on [a,b] with a<b and differentiable on (a,b) there is c∈(a,b) with f(b)−f(a)=f′(c)(b−a)).

[F16]

Dominated convergence applies to measurable functions converging almost everywhere under one integrable dominating function (Dominated convergence); under ACω singletons in Rn are Lebesgue null (Every at most countable subset of Rn is Lebesgue null; in particular λ1(Q)=0).

[F17]

Continuous maps pull back Borel sets to Borel sets; products, sums and absolute values of measurable functions are measurable; and every Borel subset of Rn is Lebesgue measurable (A continuous map has Borel preimages of Borel sets, Arithmetic and lattice operations preserve measurability whenever they are defined, Assuming countable choice, every Borel subset of Rn is Lebesgue measurable).

[F18]

The Laplacian is Δf=div⁡∇f=∑i∂i∂if (The Laplacian of a C2 function and of a C2 vector field).

[F19]

B(x,ε)={z:∣z−x∣<ε} for ε>0 (Open ball, closed ball and sphere in a metric space).

Proof

technique · direct
1.1givenF7F8F19algebra

Fix x∈Ω and choose ε0>0 with B(x,ε0)⊂Ω; for 0<ε<ε0 put Dε:=Ω∖B‾(x,ε). Since B‾(x,ε)⊂B(x,ε0)⊂Ω, the set Dε is open, bounded, contained in Ω, and nonempty (any point at distance (ε+ε0)/2 from x lies in it), and its boundary is the disjoint union of ∂Ω and S(x,ε): every point of S(x,ε) lies in the open set Ω, so near such a point Dε coincides with a ball minus the closed Euclidean ball, whose boundary is the regular level set S(x,ε) of [F8], and near a point of ∂Ω it coincides with Ω because the removed ball is at positive distance from that point. Hence Dε is a bounded C1 domain in the sense of [F7], with outward normal νΩ on ∂Ω and outward normal σ(y):=−(y−x)/∣y−x∣ on S(x,ε), since moving from y∈S(x,ε) in direction σ enters the excluded ball while moving in direction −σ leaves it.

1.2givenF3F9F12F14algebra

Estimating on the small sphere: differentiating the two profiles of [F3] gives DΦ(w)=−wωn−1∣w∣n for w≠0, in both the power and the logarithmic case, because the radial profile q with Φ(w)=q(∣w∣) has q′(s)=−1ωn−1sn−1 for s>0, and ∇∣⋅∣(w)=w/∣w∣ [F12]; consequently DΦ(w)⋅σ(w)=1ωn−1∣w∣n−1 for w≠0. On S(x,ε) this gives DΦ(y−x)⋅σ(y)=1ωn−1εn−1, while Φ(y−x) has modulus ε2−n(n−2)ωn−1 for n≥3 and ∣log⁡ε∣2π for n=2 [F3]; and ∣DHx(y)∣≤bx for y∈Ω‾ with bx:=∥DHx∥C(Ω‾)<∞ by [F14]. The sphere has surface measure ωn−1εn−1 by [F9], and ∥Du∥C(Ω‾)<∞ by [F14].

1.3givenF1F3F10F13F14F17

Absolute finiteness and measurability. The volume integrand y↦GΩ(x,y)Δu(y) is defined for y≠x and bounded in modulus by (∣Φ(y−x)∣+∥Hx∥C(Ω‾))∥Δu∥C(Ω‾), and Φ(⋅−x) is locally integrable on the bounded set Ω by [F13]; hence an integrable dominating function exists, and the integrand is Borel by [F1, F17] and Δu∈C(Ω‾). The boundary integrand u(y)PΩ(x,y) is bounded in modulus by ∥u∥∞(sup⁡∂Ω∣DΦ(⋅−x)∣+bx), a finite bound because ∂Ω is compact and at positive distance from x [F3, F14]; the boundary has finite surface measure [F10], so the boundary integral is absolutely finite as well.

2.1givenF1F2F3F4F5F7F11F12F14step 1.1algebra

Nonnegativity of the Poisson kernel. First fix x∈Ω. By [F2], for y≠x we have GΩ(x,y)=Φ(y−x)−Hx(y). The corrector Hx is bounded on Ω‾ by [F14], whereas Φ(y−x) tends to +∞ as y→x by [F3]. Thus, for every sufficiently small ε>0 as in step 1.1, GΩ(x,⋅)>0 on the inner sphere S(x,ε) and is zero on ∂Ω by [F1]. It is harmonic on Dε and continuous on Dε‾ by [F1]–[F3]. The weak minimum principle [F4], applicable to the bounded nonempty open set Dε without a connectedness hypothesis, gives GΩ(x,y)≥0 for every y∈Dε. Given any y∈Ω∖{x}, choose such an ε<∣y−x∣; hence GΩ(x,y)≥0 throughout Ω∖{x}. Now fix y0∈∂Ω and, for small t>0, put yt:=y0−tνΩ(y0). By the local subgraph property in [F7], yt∈Ω for all sufficiently small t>0, and yt≠x for those t; define g(t):=GΩ(x,yt) for such t and g(0):=GΩ(x,y0)=0. Symmetry and the corrector regularity give a C2 expression for GΩ(x,y) near y0 by [F2, F3, F7]; the chain rule with the classical normal derivative [F5, F11, F12] gives g′(0+)=PΩ(x,y0). Since g(t)≥0, its one-sided difference quotients g(t)/t are nonnegative, and so PΩ(x,y0)≥0.

2.2givenA1F1F2F3F5F6F7F14F18step 1.1algebra

Apply the second Green identity [F6] on the bounded C1 domain Dε of step 1.1 to the real functions U:=u and V:=GΩ(x,⋅), the latter being C2 on Dε‾ by [F2, F3, F7] and harmonic on Dε by [F1, F3, F18]. Both volume integrals are finite because Dε⊂Ω and both functions are bounded on Dε‾ [F14], so ∫DεGΩ(x,y)Δu(y) dy=∫∂DεGΩ(x,y)∂νu(y) dS(y)−∫∂Dεu(y)∂νGΩ(x,⋅)(y) dS(y). On ∂Ω the trace GΩ(x,⋅)=0 by [F1], and the outward normal of Dε there is νΩ by step 1.1, so the first boundary term vanishes and the second equals −∫∂Ωu(y) ∂νΩ(y)GΩ(x,y) dS(y)=∫∂Ωu(y)PΩ(x,y) dS(y) by [F5]. On S(x,ε) the outward normal is σ by step 1.1, so the two boundary terms are ∫S(x,ε)GΩ(x,y)∂σu(y) dS(y) and −∫S(x,ε)u(y)∂σGΩ(x,⋅)(y) dS(y).

2.3givenA1F9F13F14F15step 1.1step 1.2algebra

Limits on the small sphere. First term: by steps 1.1 and 1.2, ∣GΩ(x,y)∣≤∣Φ(y−x)∣+∥Hx∥C(Ω‾) and ∣∂σu(y)∣≤∥Du∥C(Ω‾) on S(x,ε), so the triangle inequality for integrals [F14] and the surface measure ωn−1εn−1 of [F9] bound this term by ∥Du∥C(Ω‾)(ε2−n(n−2)ωn−1+∥Hx∥C(Ω‾))ωn−1εn−1=∥Du∥C(Ω‾)(εn−2+∥Hx∥C(Ω‾)ωn−1εn−1) for n≥3, and by ∥Du∥C(Ω‾)(∣log⁡ε∣2π+∥Hx∥C(Ω‾))2πε for n=2; both tend to 0 as ε↓0, using ε∣log⁡ε∣→0 from [F13]. Second term: by steps 1.1 and 1.2, ∂σGΩ(x,⋅)(y)=DΦ(y−x)⋅σ(y)−DHx(y)⋅σ(y)=1ωn−1εn−1−DHx(y)⋅σ(y) on S(x,ε), so ∫S(x,ε)∂σGΩ(x,⋅) dS=1+Rε with ∣Rε∣≤bxωn−1εn−1→0; hence −u(x)∫S(x,ε)∂σGΩ(x,⋅) dS→−u(x). For the remaining piece, the mean value theorem [F15] applied along segments from x to y∈S(x,ε) gives ∣u(y)−u(x)∣≤∥Du∥C(Ω‾) ε, so ∣∫S(x,ε)(u(y)−u(x))∂σGΩ(x,⋅)(y) dS(y)∣≤∥Du∥C(Ω‾) ε(1ωn−1εn−1+bx)ωn−1εn−1⟶0.

2.4givenA1F13F14F16step 1.1step 1.3

The volume term converges. For each y∈Ω∖{x} one has y∈Dε as soon as 0<ε<∣y−x∣, so 1Dε(y)GΩ(x,y)Δu(y)→GΩ(x,y)Δu(y) pointwise on Ω∖{x}, a set of full measure by [F16]; the dominating function M(y):=(∣Φ(y−x)∣+∥Hx∥C(Ω‾))∥Δu∥C(Ω‾) is integrable by [F13, F14] and bounds every term. Step 1.3 supplies measurability, so [F16] gives ∫DεGΩ(x,y)Δu(y) dy→∫ΩGΩ(x,y)Δu(y) dy; the integral on the right is absolutely finite by step 1.3 and [F14].

3.1givenstep 1.3step 2.2step 2.3step 2.4algebra

Passing to the limit. Take a sequence εk↓0 with 0<εk<ε0 and use the identity of step 2.2 for each k. Step 2.4 gives the limit of the left side, the boundary integral over ∂Ω is independent of k, the first sphere term tends to 0 and the second to −u(x) by step 2.3. Therefore ∫ΩGΩ(x,y)Δu(y) dy=∫∂Ωu(y)PΩ(x,y) dS(y)−u(x). Rearranging and using Δu=−(−Δu) yields the displayed representation formula, with both integrals absolutely finite by step 1.3. Since x∈Ω was arbitrary, the formula holds for every x∈Ω.

4.1givenA1F1F3F5F6F9F18step 2.1step 3.1cases∎

Substituting the constant function u≡1, which lies in C2(Ω‾) with Δu=0 by [F18], the formula of step 3.1 collapses to 1=∫∂ΩPΩ(x,y) dS(y), which is the asserted normalization; combined with step 2.1 this proves PΩ≥0 and unit boundary mass. The theorem makes no existence claim for Green functions, only uses the one supplied; the dimension n=1 is excluded by [F3] and no case of [F1] is left out. Countable Choice is inherited from the Green, Poisson-kernel, surface and Green-identity conventions cited in [F1], [F5], [F6] and [F9]; the excision, chain rule, mean value and limiting arguments above invoke no further choice. Complex-valued u are handled by applying the real result to Re u and Im u; the statement is formulated for real u.

Source notes

Teschl §5.4, equations (5.35)–(5.37) and Lemma 5.22, printed pp.125–127, states u(x)=−∫UG Δu+∫∂UKu dS with K=−∂G/∂ν and treats the formal derivation as heuristic until the lemma, which assumes u∈C2(U) and applies the Gauss–Green theorem with u,v∈C2(U); the present statement uses the stricter classical hypothesis u∈C2(Ω‾), which is exactly the case in which the traces and normal derivatives used in steps 2.1, 2.2 and 2.3 exist. Schmidt §2.8, printed pp.45–46, proves the representation theorem by the same punctured-domain argument under its own regularity hypotheses; Schmidt normalizes ΔF=δ0 and uses a nonpositive Green function, so the translation is Φ=−F and GΩ=−GSchmidt, under which the two weight signs agree. The O(ε) and ε∣log⁡ε∣ bounds of step 2.3, the sign of the hole normal, the positivity argument of step 2.1 and the unit-mass conclusion of step 4.1 are proved here rather than quoted.

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Zero-Dirichlet Green representation for Poisson data

Statement

Assume Countable Choice and the hypotheses and sign convention of Green representation for classical Poisson data: n≥2, a bounded C1 domain Ω carrying a Dirichlet Green function for −Δ whose correctors satisfy Hy∈C2(Ω‾), and PΩ=−∂νyGΩ. If u∈C2(Ω‾) is real with u=0 on ∂Ω and f:=−Δu, then u(x)=∫ΩGΩ(x,y)f(y) dy(x∈Ω), the integral being absolutely finite. No regularity beyond u∈C2(Ω‾) is assumed, and no existence of Green functions is claimed.

Facts & Assumptions

Given: ACω, n≥2, the bounded C1 domain Ω, its Dirichlet Green function GΩ with correctors Hy∈C2(Ω‾), and the real function u∈C2(Ω‾) with u∣∂Ω=0 and f=−Δu.

[A1]

Countable Choice, written ACω, says every sequence of nonempty sets has a choice function (The Axiom of Countable Choice (ACω)).

[F1]

Under the stated hypotheses the Green representation formula holds for every x∈Ω, u(x)=∫ΩGΩ(x,y)(−Δu(y))dy+∫∂ΩPΩ(x,y)u(y) dS(y), and both integrals are absolutely finite (Green representation for classical Poisson data).

[F2]

The Green function is GΩ(x,y)=Φ(x−y)−Hy(x) for x≠y, with the kernel normalized by −ΔΦ=δ0, and the Poisson kernel is PΩ=−∂νyGΩ (Dirichlet Green function for minus Laplacian).

[F3]

Surface integration on a compact embedded C1 hypersurface is chart integration; signed integrands with finite absolute integral are integrated through their positive and negative parts, so an integrand that vanishes identically integrates to zero (Surface integration on compact C1 hypersurfaces).

[F4]

The Laplacian is Δu=∑i∂i∂iu, and f=−Δu means Δu=−f pointwise (The Laplacian of a C2 function and of a C2 vector field).

Proof

technique · direct
1.1givenA1F1F2F4

Fix x∈Ω. The datum u is real and C2 up to the boundary, the correctors satisfy the regularity hypothesis, and f=−Δu; so the representation formula [F1] applies at x, and its second integral is the surface integral over the compact hypersurface ∂Ω of the product y↦PΩ(x,y)u(y). The hypothesis u∣∂Ω=0 means that the continuous trace of u vanishes at every boundary point.

1.2givenA1F3

For every y∈∂Ω we have u(y)=0 by hypothesis, hence PΩ(x,y)u(y)=0. The boundary integrand is therefore the identically zero function on ∂Ω, and its surface integral vanishes; this uses only the chart definition and the signed-integral convention of [F3], with no appeal to the size of PΩ.

2.1step 1.1step 1.2F1F4algebra

Substituting f=−Δu and the vanishing boundary integral of step 1.2 into the formula of step 1.1 gives u(x)=∫ΩGΩ(x,y)f(y) dy for the fixed x, and the absolute finiteness asserted there is exactly the absolute finiteness of this integral.

3.1givenA1F1F3step 2.1cases∎

Since x∈Ω was arbitrary, the identity holds for every x∈Ω. If f=0, then Δu=0 and u=0 on ∂Ω, and the formula returns u(x)=∫ΩGΩ(x,y)⋅0 dy=0 for every x, consistent with the statement; the zero and empty cases are covered by this same substitution. Countable Choice is inherited from the representation theorem and its Green, kernel and surface conventions; no new choice is used in steps 1.1–2.1. For complex-valued u the real result applies to the real and imaginary parts, whose boundary traces also vanish; the statement is formulated for real u.

Source notes

Hunter §§2.5–2.7, printed pp.32–42, constructs the Green function for the Laplacian and states the representation u=∫Gf for zero boundary data as the classical motivation for the Green function, after the Green identities of §2.5. Teschl §§5.3–5.4, printed pp.117–129, defines the Green function by the harmonic correction and derives the representation formula for classical data. Neither reference is used here as a proof of the specialization: the corollary is the substitution f=−Δu into the already proved representation theorem, with the boundary term disposed of by the zero trace. The regularity hypotheses are those of Green representation for classical Poisson data and are not weakened; in particular no weak-boundary or L2-trace statement is made.

CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30Open item page →

Uniqueness of classical Dirichlet and compatible Neumann solutions

Statement

Assume Countable Choice, let n≥2, and let Ω⊂Rn be a bounded connected C1 domain. Let u1,u2∈C2(Ω‾) be real.

  1. If −Δu1=−Δu2 in Ω and u1=u2 on ∂Ω, then u1=u2 on Ω‾. Thus a fixed source and a fixed Dirichlet trace determine at most one solution in C2(Ω‾); when a Dirichlet Green function with the regularity of Green representation for classical Poisson data exists, that representation gives the same conclusion.
  2. If −Δu1=−Δu2 in Ω and ∂νu1=∂νu2 on ∂Ω for the outward normal ν, then u1−u2 is constant on Ω‾; conversely, adding any real constant to a solution preserves both data. Thus a fixed source and a fixed outward Neumann trace determine the solutions up to an additive constant.
  3. If u∈C2(Ω‾) solves −Δu=f in Ω and ∂νu=g on ∂Ω, then necessarily ∫Ωf=−∫∂Ωg dS.

Existence is not asserted: clause 3 is a necessary compatibility equation for the Neumann problem, and no uniqueness statement here produces a solution.

Facts & Assumptions

Given: ACω, n≥2, the bounded connected C1 domain Ω, and real C2(Ω‾) functions on which the Laplacian and outward normal derivative are taken.

[A1]

Countable Choice, written ACω, says every sequence of nonempty sets has a choice function (The Axiom of Countable Choice (ACω)). It is inherited from the Green, surface, Green-identity and divergence conventions used below.

[F1]

For u,v∈C2(Ω)∩C(Ω‾) with Δu=Δv in Ω and u=v on ∂Ω, the two functions agree on Ω‾; the theorem needs only bounded nonempty open Ω (Uniqueness for the classical dirichlet problem).

[F2]

For real u∈C2(Ω‾) and v∈C1(Ω‾), ∫Ω(vΔu+Du⋅Dv) dx=∫∂Ωv∂νu dS, with all integrals finite (First Green identity).

[F3]

For a bounded C1 domain and F∈C1(Ω‾;Rn), ∫Ωdiv⁡F dx=∫∂ΩF⋅ν dS, both integrals finite (Divergence on a bounded C1 Euclidean domain); the classical normal derivative is ∂νu=Du⋅ν with the continuous interior trace of Du (Classical normal derivative), and surface integrals are chart integrals on the compact hypersurface ∂Ω (Surface integration on compact C1 hypersurfaces).

[F4]

The Laplacian is Δu=div⁡∇u=∑i∂i∂iu, and Δu=0 defines harmonicity (The Laplacian of a C2 function and of a C2 vector field); total derivatives are linear, so the Laplacian and the gradient are linear on C2 functions (Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives).

[F5]

Let U⊆Rm be nonempty, open and connected and let f:U→Rq be totally differentiable at every point. Then Df=0 on U if and only if f is constant on U (A differentiable map on a connected open Euclidean set has zero derivative exactly when it is constant).

[F6]

A measurable f≥0 has ∫f=0 exactly when f=0 almost everywhere (A nonnegative measurable function has integral 0 exactly when it vanishes almost everywhere); every ball of positive radius has positive finite Lebesgue measure (Euclidean balls have positive finite Lebesgue measure), and the nonnegative integral is monotone (Monotonicity and nonnegative homogeneity of the nonnegative integral).

[F7]

A bounded C1 domain carries its Ck(Ω‾) convention: a C2(Ω‾) function is in particular C1(Ω‾), and C2(Ω‾) functions restrict to C2(Ω) functions that are continuous on Ω‾ (Bounded C1 domains and their outward normals).

[F8]

Under the hypotheses of Green representation for classical Poisson data and with w∈C2(Ω‾) real, harmonic and vanishing on ∂Ω, the representation reduces to w(x)=∫ΩGΩ(x,y)⋅0 dy=0 for every x∈Ω, where GΩ is the Dirichlet Green function with correctors Hy∈C2(Ω‾) (Zero-Dirichlet Green representation for Poisson data, Dirichlet Green function for minus Laplacian).

Proof

technique · direct
1.1givenA1F3F4F7algebra

Put w:=u1−u2. By [F4, F7], w is a real C2(Ω‾) function and Δw=Δu1−Δu2=0, so w is harmonic; also w∈C2(Ω)∩C(Ω‾). If u1=u2 on ∂Ω then w=0 on ∂Ω, and if ∂νu1=∂νu2 on ∂Ω then, since ∂νw=Du1⋅ν−Du2⋅ν by [F3, F4], also ∂νw=0 there. For every real constant c, [F4] gives Δ(u1+c)=Δu1 and ∂ν(u1+c)=∂νu1, so a constant shift changes neither datum.

1.2givenA1F3F4algebra

Suppose u∈C2(Ω‾) is real, −Δu=f and ∂νu=g on ∂Ω. By [F7] the field ∇u lies in C1(Ω‾;Rn), so the divergence theorem [F3] applies to it: ∫ΩΔu dx=∫Ωdiv⁡∇u dx=∫∂Ω∇u⋅ν dS=∫∂Ωg dS, the last step by [F3] and the definition of g. Since Δu=−f pointwise, this is −∫Ωf=∫∂Ωg, that is, ∫Ωf=−∫∂Ωg dS, the compatibility equation of clause 3.

2.1givenF1F7F8step 1.1

Dirichlet uniqueness. Assume u1=u2 on ∂Ω, so that Δu1=Δu2=Δ and w has zero boundary trace by step 1.1. First route: the published uniqueness theorem [F1] applies to u1,u2, which lie in C2(Ω)∩C(Ω‾) by [F7] and have equal Laplacians and equal boundary values; hence u1=u2 on Ω‾. Second route: if in addition a Dirichlet Green function with the regularity of [F8] exists, then all hypotheses of the zero-Dirichlet representation are met by w, which is real, C2(Ω‾), harmonic and has zero trace; the representation gives w(x)=∫ΩGΩ(x,y)⋅0 dy=0 for every x∈Ω, hence u1=u2 on Ω and, by continuity [F7], on Ω‾. Either route gives clause 1.

2.2givenF2F5F6F7step 1.1

Neumann data determine exactly the affine family. Assume ∂νu1=∂νu2 on ∂Ω. By step 1.1 the difference w is real, harmonic and satisfies ∂νw=0 on ∂Ω, and w∈C2(Ω‾)⊂C1(Ω‾) by [F7]; so the first Green identity [F2] applies with both slots equal to w: ∫Ω(wΔw+∣Dw∣2)dx=∫∂Ωw∂νw dS. The right side is 0 because ∂νw=0, and Δw=0, so ∫Ω∣Dw∣2 dx=0. The integrand ∣Dw∣2 is nonnegative with finite integral, so it vanishes almost everywhere by [F6]; if ∣Dw(y0)∣>0 at some y0∈Ω, continuity of Dw would give a ball B(y0,r)⊂Ω and a constant c>0 with ∣Dw∣2≥c on that ball, whence ∫Ω∣Dw∣2≥c λ(B(y0,r))>0 by monotonicity and the positive ball measure of [F6], a contradiction. Hence Dw=0 on the nonempty open connected set Ω, and [F5] makes w constant on Ω; by continuity [F7] that constant is the value on Ω‾. Conversely, step 1.1 shows that u1+c has the same source and the same outward Neumann trace for every real c, so the solution set is exactly the affine family u1+R whenever one solution exists.

3.1givenA1F1F2F3F8step 1.2step 2.1step 2.2cases∎

The three clauses are independent statements: clause 1 uses only the Dirichlet data, clause 2 only the Neumann data, and clause 3 is the necessary equation of step 1.2. No existence is asserted, and no sufficiency of the compatibility equation is claimed; in particular the second clause says that the solution set is either empty or a full affine line in C2(Ω‾). The empty-support and zero-data cases are included: if f=0 and the traced data are zero, then u≡0 is a solution and clauses 1–2 apply with no exception, while clause 3 reads 0=0. Countable Choice is inherited from the Green, surface, Green-identity and divergence conventions of [F1], [F2], [F3] and [F8]; the pointwise differentiation, energy and limiting arguments add no further choice. For complex-valued u1,u2 the argument applies to Re u and Im u separately, since the Laplacian and the normal derivative are real-linear and the Green identity used is stated for real functions; the statement is formulated for real data. Dimension n=1 is excluded by [F1] and [F3].

Source notes

Hunter §2.5 Theorem 2.24, printed p.32, proves the classical Dirichlet uniqueness by the maximum principle, and the surrounding Green-identity material supplies the energy argument for Neumann data. Teschl §5.4 Theorem 5.21, printed p.124, proves Dirichlet uniqueness, and equation (5.43), printed p.128, records the Neumann compatibility identity ∫Ωf=−∫∂Ωg dS for the sign convention −Δu=f used here. Neither source is used as a proof of the statements below: clause 1 is proved both by the published uniqueness theorem and, when a Green function exists, by the representation of this pair; clause 2 is the energy argument of the first Green identity together with connectedness; and clause 3 is the divergence theorem applied to ∇u. The corollary deliberately asserts no Neumann existence, so compatibility is presented as necessary only.

RemarkRemark: Literature-sourcedProof: Not applicablejudge pass (gpt-6-sol)audited 2026-09-30Open item page →

The Green identities used here are Euclidean

The integration pair is the Euclidean one. Every boundary flux computed on this page uses the Euclidean surface measure, the divergence identity Divergence on a bounded C1 Euclidean domain for a bounded C1 domain with the outward normal, its piecewise-boundary relative Divergence for finite piecewise C1 presentations, and the two-function identity Second Green identity. No step of any item on this page integrates a differential form, and no step uses a Stokes theorem for oriented manifolds.

Where the pair is actually used. The distributional computation The negative Laplacian of the fundamental solution is the unit Dirac distribution and the Green representation formula Green representation for classical Poisson data excise the pole from the domain and then apply the second Green identity on the resulting bounded C1 domain; the singular flux of the kernel across the excised sphere is computed directly from the radial profile and the chart surface integral of Surface integration on compact C1 hypersurfaces. The Neumann compatibility identity and the boundary terms of the corollaries use the divergence theorem in the same way.

Outward normals on excised balls are reversed. On the outer boundary the normal is the outward unit normal of Ω; on an excised sphere S(x,ε) the outward normal of the remaining domain Ω∖B‾(x,ε) points into the hole, that is, σ(y)=−(y−x)/∣y−x∣. Both cited items display this reversal, and the sign of every singular boundary term is read off from it. Nothing here depends on the orientation convention of a manifold boundary.

The later manifold Stokes theorem is context only. A general Stokes theorem for oriented manifolds is built later in this run, on a page that this pair does not require and that does not require this pair. It supplies no proof step, no hypothesis and no sign convention to any item here, and no statement proved here is claimed as a manifold statement. The orientation language of the Euclidean surface measure is self-contained at this point.

Choice. Every item that invokes the Euclidean integration pair states ACω and inherits it through the measure, polar-surface, divergence and Green-identity conventions listed above; The Axiom of Countable Choice (ACω) is the only choice principle used on this page. No full Axiom of Choice and no incompatible-axiom branch occurs.

Source notes

Hunter, Notes on Partial Differential Equations (2014), §§1.11–1.12, printed pp.16–18, proves the divergence theorem by graph integration, and §2.5, printed p.32, derives the Green identities from it; the surface measure used there is the Euclidean chart measure. Teschl, Partial Differential Equations: From Classical to Modern (2025 archived author manuscript), §5.4 equations (5.31)–(5.36), printed pp.125–126, records the same Euclidean surface and Green identities in the sign convention −ΔΦ=δ0 used here. Neither reference is used as a proof of the statements above: this remark only fixes which earlier local results carry every flux computation on the page, and records that the manifold comparison is not one of them.

5 · Examples, counterexamples and false statements

None yet.

Sources