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Uniform interior higher integrability for conductivity solutions
Statement
Assume the Axiom of Choice and Countable Choice. Let , let be a bounded connected smooth domain, let be open, and fix . There are and , depending only on , such that every real measurable with and every weak solution of satisfy In particular, for a weak Neumann solution with quotient flux , the right side is at most , uniformly in .
Statement references
Facts & Assumptions
Given: the domain, compactly contained set and uniform ellipticity bounds in the Statement.
The Riesz transforms have multipliers , are bounded on every , , 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)
Riesz–Thorin interpolation bounds the intermediate complex scalar operator norm by the geometric mean of its two endpoint bounds; Plancherel computes Fourier multiplier norms. (Riesz-Thorin interpolation theorem, Plancherel theorem)
Every bounded smooth domain is a Sobolev extension domain. On this fixed domain, embeds into if , and into every finite if . Subtracting the volume mean bounds the norm by the gradient norm. (Bounded C^k domains admit integer-order Sobolev extension, Sobolev embedding on bounded extension domains for , The critical Sobolev embedding into every finite , Poincare-Wirtinger on bounded connected extension domains by Rellich compactness)
On a smooth domain contained in , the uniformly elliptic weak Neumann solution satisfies . (Mean-zero weak Neumann problem for uniformly elliptic conductivities)
Young’s convolution inequality holds on Lebesgue spaces under Countable Choice. (Young's convolution inequality under Countable Choice)
The normalized locally integrable kernel is for and for , and satisfies distributionally. (Fundamental solution for the positive operator minus Laplacian, The negative Laplacian of the fundamental solution is the unit Dirac distribution)
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 ())
Proof
Given: the data in the Statement and a weak solution .
On vector fields on put , with multiplier away from zero. This is the orthogonal gradient projection, so by [F2]. The finitely many compositions in [F1] give a finite bound . Apply scalar [F2] on the product of Lebesgue measure and counting measure on to this matrix operator, whose norm there is exactly one. If , then . Since for , its Euclidean-vector norm is at most , which tends to one as . These extensions agree with the projection on common inputs by density.
Put and . Extend outside by and set , so . Choose sufficiently close to two that and, when , . The operators then have norms less than one both on and on . For every vector field in their intersection, the series 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 solving satisfies in : subtracting the two sides gives a gradient field of zero divergence, whose Fourier transform vanishes away from zero and hence vanishes in . Thus .
Choose equal to one on a neighborhood of , set and extend by zero. The product rule and the weak equation give , where is compactly supported, , and by testing the original weak equation with . Put using [F6], so , and set . The radial formula in [F6] gives and away from zero, hence and . This convolution defines a locally integrable distribution with : integrate the fundamental-solution identity against compactly supported tests and use local integrability of . Its low-frequency behavior is controlled by the zero integral of , as quantified next.
Enclose in a fixed ball of radius . On , only uses the restriction of to a fixed larger ball; that kernel is in for . The convolution inequality with gives , because the chosen makes this admissible (there is no finite upper restriction for ). The same argument with gives the local bound. Outside that ball, subtract in the integral and use to obtain . This is integrable to both the second and the th power at infinity. Thus . The convolution estimates are [F5].
Set . By [F3], the first term belongs to with norm at most ; step 4.1 gives the same bound for the second. Step 3.1 now reads . Apply step 2.1 and use on to obtain , with all constants depending only on the fixed data. For the Neumann conclusion on an arbitrary bounded smooth , choose a similarity , , with . Put and . Pullback is a bounded isomorphism of spaces, carries onto and preserves constants, hence induces a bounded isomorphism of the trace quotients by constants. Define . The energy change of variables gives , and . Apply [F4] there and use to get the claimed energy bound on . Every construction used a fixed finite cutoff and bounded operators, so the two choice assumptions enter only through [A1].
Depends on
- The Axiom of Choice
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The Hilbert and Riesz transforms are Calderon-Zygmund operators
- Calderón–Zygmund operators are bounded on Lp
- Riesz-Thorin interpolation theorem
- Plancherel theorem
- Young's convolution inequality under Countable Choice
- Fundamental solution for the positive operator minus Laplacian
- The negative Laplacian of the fundamental solution is the unit Dirac distribution
- Sobolev embedding on bounded extension domains for $p<n$
- The critical Sobolev embedding into every finite $L^q$
- Bounded C^k domains admit integer-order Sobolev extension
- Poincare-Wirtinger on bounded connected extension domains by Rellich compactness
- Mean-zero weak Neumann problem for uniformly elliptic conductivities
Used by
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Sources
- N. G. Meyers, An Lp-estimate for the gradient of solutions of second order elliptic divergence equations (standard reference, not scraped)