Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-generatedPipeline-generatedverified 2026-10-22 (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.

Uniform interior higher integrability for conductivity solutions

Statement

Assume the Axiom of Choice and Countable Choice. Let d≥2, let Ω be a bounded connected smooth domain, let U⋐Ω be open, and fix 0<m≤M<∞. There are p∈(2,4) and C<∞, depending only on d,m,M,Ω,U, such that every real measurable γ with m≤γ≤M and every weak solution u∈H1(Ω) of div⁡(γ∇u)=0 satisfy ∥∇u∥Lp(U)≤C∥∇u∥L2(Ω). In particular, for a weak Neumann solution with quotient flux F∈D˙∗, the right side is at most C∥F∥D˙∗, uniformly in γ.

Facts & Assumptions

Given: the domain, compactly contained set and uniform ellipticity bounds in the Statement.

[F1]

The Riesz transforms have multipliers −iξj/∣ξ∣, are bounded on every Lr, 1<r<∞, and their compositions agree on intersections of those spaces. (The Hilbert and Riesz transforms are Calderon-Zygmund operators, Calderón–Zygmund operators are bounded on Lp)

[F2]

Riesz–Thorin interpolation bounds the intermediate complex scalar Lr operator norm by the geometric mean of its two endpoint bounds; Plancherel computes L2 Fourier multiplier norms. (Riesz-Thorin interpolation theorem, Plancherel theorem)

[F3]

Every bounded smooth domain is a Sobolev extension domain. On this fixed domain, H1 embeds into L2d/(d−2) if d>2, and into every finite Lr if d=2. Subtracting the volume mean bounds the H1 norm by the gradient norm. (Bounded C^k domains admit integer-order Sobolev extension, Sobolev embedding on bounded extension domains for p<n, The critical Sobolev embedding into every finite Lq, Poincare-Wirtinger on bounded connected extension domains by Rellich compactness)

[F4]

On a smooth domain contained in (0,1)d, the uniformly elliptic weak Neumann solution satisfies ∥∇u∥2≤C∥F∥D˙∗. (Mean-zero weak Neumann problem for uniformly elliptic conductivities)

[F5]

Young’s convolution inequality holds on Lebesgue spaces under Countable Choice. (Young's convolution inequality under Countable Choice)

[F6]

The normalized locally integrable kernel Φ− is −∣Sd−1∣−1log⁡∣x∣ for d=2 and ∣x∣2−d/((d−2)∣Sd−1∣) for d≥3, and satisfies −ΔΦ−=δ0 distributionally. (Fundamental solution for the positive operator minus Laplacian, The negative Laplacian of the fundamental solution is the unit Dirac distribution)

[A1]

The two choice assumptions are inherited at the stated harmonic-analysis, Sobolev and weak-solution interfaces. (The Axiom of Choice, The Axiom of Countable Choice (ACω))

Proof

Given: the data in the Statement and a weak solution u.

1.1A1F1F2givenconstruct

On vector fields on Rd put P=−(RiRj)i,j, with multiplier ξξT/∣ξ∣2 away from zero. This is the orthogonal gradient projection, so ∥P∥L2(ℓ2)→L2(ℓ2)=1 by [F2]. The finitely many compositions in [F1] give a finite L4(ℓ4) bound C4≥1. Apply scalar [F2] on the product of Lebesgue measure and counting measure on {1,…,d} to this matrix operator, whose L2 norm there is exactly one. If 1/p=(1−θ)/2+θ/4, then ∥P∥Lp(ℓp)→Lp(ℓp)≤C4θ. Since ∥z∥ℓp≤∥z∥ℓ2≤d1/2−1/p∥z∥ℓp for p>2, its Euclidean-vector Lp norm is at most Dp=d1/2−1/pC4θ, which tends to one as p↓2. These extensions agree with the L2 projection on common inputs by density.

2.1step 1.1givenchoosealgebra

Put a=(m+M)/2 and k=(M−m)/(M+m)<1. Extend γ outside Ω by a and set c=(a−γ)/a, so ∥c∥∞≤k. Choose p∈(2,4) sufficiently close to two that kDp<1 and, when d>2, p<2d/(d−2). The operators Pc then have norms less than one both on L2(ℓ2) and on Lp(ℓ2). For every vector field F in their intersection, the series ∑j≥0(Pc)ja−1PF converges in BOTH spaces. The two limits agree as distributions, since convergence in either space implies convergence against compactly supported smooth tests. In particular, any v∈H1(Rd) solving div⁡(γ∇v)=div⁡F satisfies ∇v=a−1PF+Pc∇v in L2: subtracting the two sides gives a gradient field of zero divergence, whose Fourier transform vanishes away from zero and hence vanishes in L2. Thus ∥∇v∥p≤a−1Dp(1−kDp)−1∥F∥p.

3.1F6step 2.1givenconstruct

Choose χ∈Cc∞(Ω) equal to one on a neighborhood of U‾, set u0=u−uΩ and extend v=χu0 by zero. The product rule and the weak equation give div⁡(γ∇v)=div⁡(γu0∇χ)+g, where g=γ∇u⋅∇χ is compactly supported, ∥g∥2≤C∥∇u∥2, and ∫g=0 by testing the original weak equation with χ. Put Φ=−Φ− using [F6], so ΔΦ=δ0, and set W=∇Φ∗g. The radial formula in [F6] gives ∂iΦ=xi/(∣Sd−1∣∣x∣d) and ∂ijΦ=δij/(∣Sd−1∣∣x∣d)−dxixj/(∣Sd−1∣∣x∣d+2) away from zero, hence ∣∇Φ(x)∣≤C∣x∣1−d and ∣D2Φ(x)∣≤C∣x∣−d. This convolution defines a locally integrable distribution with div⁡W=g: integrate the fundamental-solution identity against compactly supported tests and use local integrability of ∣x∣1−d. Its low-frequency behavior is controlled by the zero integral of g, as quantified next.

4.1F5step 2.1step 3.1algebra

Enclose supp⁡g in a fixed ball of radius L. On ∣x∣≤2L+1, W only uses the restriction of ∇Φ to a fixed larger ball; that kernel is in Lr for 1≤r<d/(d−1). The convolution inequality with 1+1/p=1/2+1/r gives ∥W∥Lp(∣x∣≤2L+1)≤C∥g∥2, because the chosen p<2d/(d−2) makes this r admissible (there is no finite upper restriction for d=2). The same argument with r=1 gives the local L2 bound. Outside that ball, subtract ∇Φ(x)∫g=0 in the integral and use ∣D2Φ(x−y)∣≤C∣x∣−d to obtain ∣W(x)∣≤C∣x∣−d∥g∥1. This is integrable to both the second and the pth power at infinity. Thus ∥W∥2+∥W∥p≤C∥∇u∥2. The convolution estimates are [F5].

5.1F3F4step 2.1step 3.1step 4.1algebra∎

Set F=γu0∇χ+W. By [F3], the first term belongs to L2∩Lp with norm at most C∥∇u∥2; step 4.1 gives the same bound for the second. Step 3.1 now reads div⁡(γ∇v)=div⁡F. Apply step 2.1 and use ∇v=∇u on U to obtain ∥∇u∥Lp(U)≤C∥∇u∥2, with all constants depending only on the fixed data. For the Neumann conclusion on an arbitrary bounded smooth Ω, choose a similarity S(x)=a+ℓx, ℓ>0, with Ω^=S(Ω)⊂(0,1)d. Put u^=u∘S−1 and γ^=γ∘S−1. Pullback v^↦v^∘S is a bounded isomorphism of H1 spaces, carries H01 onto H01 and preserves constants, hence induces a bounded isomorphism of the trace quotients by constants. Define F^([Tr⁡v^])=ℓd−2F([Tr⁡(v^∘S)]). The energy change of variables gives ∫Ω^γ^∇u^⋅∇v^‾ dy=ℓd−2∫Ωγ∇u⋅∇(v^∘S)‾ dx=F^([Tr⁡v^]), and ∥F^∥≤CS∥F∥. Apply [F4] there and use ∥∇u^∥L2(Ω^)=ℓd/2−1∥∇u∥L2(Ω) to get the claimed energy bound on Ω. Every construction used a fixed finite cutoff and bounded operators, so the two choice assumptions enter only through [A1].

Depends on

Used by

Dependency tree · two levels

126 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