Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-6.1-sol)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Local W2,p regularity of weak solutions of the Poisson equation

Statement

Assume Countable Choice. Let n≥2, 1<p<∞, let B⊆Rn be a ball and let u∈W1,2(B) satisfy −Δu=f in the distributional sense on B with f∈Lp(B). Then u∈Wloc2,p(B), and for every open B′⋐B there is C=C(n,p,B′,B)<∞ with ∥u∥W2,p(B′)≤C(∥f∥Lp(B)+∥u∥L2(B)). No boundary regularity is asserted, and no decay of u at infinity is assumed; the estimate is local in the interior only.

Facts & Assumptions

Given: ACω, n≥2, 1<p<∞, a ball B, a function u∈W1,2(B) with −Δu=f in D′(B) and f∈Lp(B), and an open B′⋐B.

[A1]

The only choice assumption is Countable Choice ACω; it enters through the choice-qualified Newtonian-potential, Riesz-transform, Fourier and Sobolev interfaces. No full Axiom of Choice is used. (The Axiom of Countable Choice (ACω))

[F1]

For f∈Lc1(Rn) the Newtonian potential Nf is locally integrable and −ΔTNf=Tf in D′(Rn); it is smooth and harmonic off the support of f. For compactly supported f∈Lp the local Young bound ∥Nf∥Lp(BR)≤∥Φ∥L1(BR+ρ)∥f∥Lp holds when supp⁡f⊆Bρ, and similarly for the first derivatives with ∇Φ∈Lloc1. (Newtonian potential of compactly supported data, Newtonian potentials solve the distributional Poisson equation, Young's convolution inequality under Countable Choice, Fundamental solution for the positive operator minus Laplacian)

[F3]

The Riesz transforms have L2 norm at most 1, satisfy ∑jRj2=−id, and extend boundedly to Lp with norm at most Cn,p; their composition RiRj has symbol −ξiξj/∣ξ∣2. The Fourier transform satisfies F(∂αg)=(2πiξ)αFg and is injective on tempered distributions; two locally integrable functions equal as distributions are equal almost everywhere; distributional differentiation is continuous for the distribution topology. (Riesz transforms on Euclidean space, Riesz transforms are L2 contractions and square to minus the identity in sum, The Riesz transforms are bounded on Lp, Fourier differentiation and multiplication identities on tempered distributions, Fourier transform is a topological automorphism of tempered distributions, Locally integrable functions embed in distributions, Distributional differentiation is continuous and commutes)

[F4]

A locally integrable weakly harmonic function on an open set is C∞ there, and for every compact K contained in the open set and every multi-index β with ∣β∣≤2 one has sup⁡K∣Dβh∣≤C(K,Ω)∥h∥L1(Ω). (Locally integrable weakly harmonic functions are smooth, Interior derivative estimates for harmonic functions)

[F5]

Smooth cutoffs between concentric balls exist: for B′⋐B′′⋐B there is η∈Cc∞(B) with 0≤η≤1 and η=1 on a neighbourhood of B′′‾. Meyers–Serrin supplies smooth Wk,p approximation, without claiming compact support on an arbitrary open set. For compactly supported Lp data, apply its k=0 case on Rn and multiply by a fixed smooth cutoff equal to one on the support; the approximants then have one common compact support. (A smooth bump between concentric Euclidean balls, Meyers–Serrin density on an arbitrary open set, Integer-order Sobolev spaces and their norms)

Proof

technique · direct
1.1F1F5givenA1

Localization. Choose a ball B′′ with B′⋐B′′⋐B and, by [F5], a cutoff η∈Cc∞(B) with η=1 on a neighbourhood of B′′‾; put g:=ηf, extended by zero to Rn, so that g∈Lcp(Rn) and g=f on B′′. Let w:=N(g) be the Newtonian potential of g.

2.1F1F3F5step 1.1algebra

Hessian bound for smooth data without dividing by the frequency variable. Let g∈Cc∞ and w=Ng. The classical-potential supplier Hölder data give a classical Newtonian solution gives w∈C2 and −Δw=g. Fix χ∈Cc∞(B2) equal to one on B1, and put χT(x)=χ(x/T). For large T containing the support of g, Δ(χTw)=−g+2∇χT⋅∇w+wΔχT. On T≤∣x∣≤2T, the kernel formulas and differentiation away from the support give ∣w(x)∣≤CgT2−n for n≥3, ∣w(x)∣≤Cg(1+log⁡T) for n=2, and ∣∇w(x)∣≤CgT1−n in both cases. Thus the commutator has Lp norm at most CgT−n+n/p(1+1n=2log⁡T), which tends to zero for p>1. The whole-space estimate Global W2,p estimate for the Laplacian on Euclidean space applies to the compactly supported C2 function χTw (its classical derivatives are weak derivatives by integration by parts). On any fixed ball BM, χTw=w for T>M, so ∥D2w∥Lp(BM)≤Cn,p(∥g∥p+o(1)). First let T→∞, then M→∞; Monotone convergence for the integral applied to the increasing ball indicators times the nonnegative Hessian integrands gives ∥D2w∥Lp(Rn)≤Cn,p∥g∥p. This includes p=2 and avoids any two-dimensional Fourier inversion at zero.

3.1step 1.1step 2.1F1F3F5algebra

Second derivatives of w: the Lp case. For general g∈Lcp, choose gk∈Cc∞ with gk→g in Lp (possible by [F5] after multiplying by a cutoff). By [F1] the potentials Ngk converge to Ng in Lloc1, and by the Lp bound of step 2.1 the fields DijNgk are Cauchy in Lp(Rn) (apply step 2.1 to gk−gℓ). Completeness of scalar Lp follows from Riesz-Fischer completeness of Lp for 1≤p≤∞ for real components and Complex Lp completeness and almost-everywhere subsequences for complex data under Countable Choice. Since distributional differentiation is continuous [F3], the limit is DijNg∈Lp, so w=Ng∈Wloc2,p(Rn) with, if supp⁡g⊆Bρ(0), for every ball BR(0), ∥w∥W2,p(BR)≤C(n,p,R,ρ)∥g∥Lp (the zero- and first-order terms are controlled by the Young bounds of [F1] and the second-order terms by step 2.1).

4.1step 1.1step 3.1F1F4algebra

The remainder is harmonic. Since η=1 on B′′ we have g=f there, so −Δ(u−w)=f−g=0 in D′(B′′) by [F1]; hence h:=u−w is a weakly harmonic function on B′′ and therefore C∞ there by [F4]. The interior derivative estimates give ∥h∥W2,p(B′)≤C(n,B′,B′′)∥h∥L1(B′′), and ∥h∥L1(B′′)≤∣B∣1/2∥u∥L2(B)+∥w∥L1(B′′)≤C(B,n,p)(∥u∥L2(B)+∥f∥Lp(B)) by the local Young bound [F1], Hölder on the bounded supports, and ∥u∥L1(B′′)≤∣B∣1/2∥u∥L2(B).

5.1step 3.1step 4.1F1F5given∎

Conclusion. On B′ one has u=w+h with w∈W2,p(B′) by step 3.1 and h∈W2,p(B′) by step 4.1, so u∈W2,p(B′) and ∥u∥W2,p(B′)≤∥w∥W2,p(B′)+∥h∥W2,p(B′)≤C(n,p,B′,B)(∥f∥Lp(B)+∥u∥L2(B)), using ∥g∥Lp≤∥η∥∞∥f∥Lp(B). No boundary condition on u was used, and the constants depend only on n,p and the balls.

Remarks

  • The proof isolates the two inputs: the growing-cutoff whole-space estimate bounds the Hessian of the potential on Lp data, while the harmonic remainder is controlled by the interior estimates for harmonic functions. The harmonic remainder is estimated in local L1; no Lp to L2 embedding for the potential is assumed.

Depends on

Used by

Dependency tree · two levels

181 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources