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Weak Elliptic Maximum Principles and Holder Regularity

1 · Prerequisites

2 · Summary

This page develops the weak maximum principle for coercive divergence-form equations with bounded measurable coefficients, the De Giorgi level-set iteration that proves it, and the De Giorgi--Nash--Moser interior regularity theory built on the same Caccioppoli and level-set machinery. The principal coefficients are real, measurable, bounded and uniformly elliptic; the De Giorgi and Harnack items additionally assume symmetry with θI≤A≤Ma2I, while the maximum principle uses the coefficientwise bounds of its operator definition; the principal operator is L0u=−Di(aijDju) with its sesquilinear form a0, and lower-order terms b,c appear only in the maximum-principle items under explicit sign hypotheses. The homogeneous weak maximum principle assumes c≥0 a.e. together with the weak sign condition ∫(cζ+biDiζ)≥0 for nonnegative test functions ζ, the weak form of c−div⁡b≥0; the forcing case assumes b≡0, c≥0 and an Lq source with q>n/2, whose maximum bound adds C∥f+∥Lq to the positive boundary supremum; the local forcing estimates explicitly carry the scale factor R2−n/q. The truncated positive part is an admissible test, the truncated Caccioppoli inequality and the Sobolev level-set iteration are recorded for arbitrary levels, and the local boundedness, oscillation reduction, Holder regularity, Moser iteration, weak Harnack and Harnack theorems follow with constants depending only on n,q,θ,Ma and each estimate's stated exponent and radius ratios. The zero-set propagation and the strong maximum principle are recorded for n≥3 on connected open sets and close the page, and the superscript conventions of the trace and of the boundary supremum are those of the weak-subsolution definition.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicableOpen item page →

Weak subsolutions and supersolutions of a divergence-form equation

Definition

Assume Countable Choice and the Axiom of Choice for the Sobolev, trace and embedding interfaces below. Let n≥1, let Ω⊂Rn be open, and let L and its sesquilinear form a be as in Uniformly elliptic divergence-form operators and their sesquilinear forms with ellipticity constant θ and coefficient bounds Ma,Mb,Mc. For the order comparison below, take real coefficients and a real-valued source f∈Lloc1(Ω) (Locally integrable functions as regular distributions, The space Lp(μ) as the quotient by null functions).

A real class u∈H1(Ω;R) (The notation Hk and the reserved zero-boundary symbol) is a local weak subsolution of Lu=f on Ω if a(u,φ)≤∫Ωfφ dxfor every nonnegative φ∈Cc∞(Ω;R), and a local weak supersolution if the reverse inequality holds; it is a local weak solution if equality holds for every real φ∈Cc∞(Ω). These tests make every pairing finite for f∈Lloc1.

Global Sobolev-test version. If the source defines a continuous functional F∈H−1(Ω):=(H01(Ω))∗ (The negative Sobolev space H−1(Ω)), then a real u∈H1(Ω) is a global weak subsolution if a(u,v)≤F(v)for every nonnegative v∈H01(Ω), with the reverse inequality defining a global weak supersolution and equality defining a global weak solution. The local and global formulations agree when both apply, by continuity of the form and F and the following positive-cone density argument. Given 0≤v∈H01, choose real zj∈Cc∞(Ω) converging to v in H1 and a subsequence converging a.e.; such a subsequence follows by choosing ∥zj−v∥22≤2−3j and applying Chebyshev and countable subadditivity to {∣zj−v∣>2−j}. The positive-part chain rule gives Dzj+−Dv=1{zj>0}(Dzj−Dv)+(1{zj>0}−1{v>0})Dv. The second term tends to zero in L2 by dominated convergence, since its indicator converges where v>0 and Dv=0 a.e. where v=0; the first term and the function difference converge in L2. Thus zj+→v in H1. Each zj+ has compact support, so zero extension followed by nonnegative unit-mass mollification with sufficiently small radius gives a nonnegative Cc∞(Ω) approximant within 1/j in H1 (Positive, negative, and truncated Sobolev functions, Compactly supported Sobolev functions extend by zero in every integer order, Local smooth approximation in integer-order Sobolev spaces, Dominated convergence, Chebyshev-Markov inequality for the integral). In particular, f∈L2(Ω) suffices by Cauchy--Schwarz and H01↪L2; on a bounded C1 domain, f∈Lq(Ω) with q>n/2 for n≥3 (or q>1 for n=2) suffices because q′ lies in the Sobolev range H01↪Lq′ (The Sobolev inequality for zero-boundary Sobolev closures on open sets, The critical Sobolev embedding into every finite Lq, Holder's inequality for integrals, including the endpoint cases). If f∈Lloc2(Ω), the local inequality also extends to nonnegative H01(U) tests on any bounded open U⋐Ω, since f∣U∈L2(U).

For complex-valued coefficients or classes, only the weak-solution identity with a specified continuous complex source functional is used; no subsolution or supersolution order is defined by comparing complex numbers. In the real setting, a weak solution is both a subsolution and a supersolution exactly when the same source functional is used in both inequalities.

Signed essential extrema. For a real measurable class on a positive-measure set E, write ess sup⁡Eu:=inf⁡{t∈R:u≤t a.e. on E} in the extended reals, and ess inf⁡Eu:=−ess sup⁡E(−u). A finite essential supremum s is itself an a.e. upper bound: take the union of the null exceptional sets for the bounds s+1/j. These signed extrema differ from the essential supremum of ∣u∣ used to define the L∞ norm. For a continuous representative on an open set, its pointwise and essential extrema agree, since a strict violation of an essential bound would hold on a nonempty open set of positive measure.

Weak boundary order (for n≥2). Let in addition n≥2 and let Ω be a bounded C1 domain (Bounded C^k domains and boundary charts) with trace operator T (The Lp trace operator on a bounded C1 domain). For real u,v∈H1(Ω) and k∈R one writes u≤k on ∂Ω if (u−k)+∈H01(Ω), and u≤v on ∂Ω if (u−v)+∈H01(Ω); by The kernel of the trace is the closure of the test functions these are respectively the statements Tu≤k and Tu≤Tv a.e. on ∂Ω, as justified by A function whose trace is at most a level has positive part in the zero-boundary space ↗, and it is independent of the chosen representatives. The boundary supremum is sup⁡∂Ωu:=inf⁡{k∈R: u≤k on ∂Ω}∈R∪{+∞}, with inf⁡∅:=+∞; the set is nonempty as soon as u is essentially bounded above.

Conventions

  • Sign convention. In the real order theory, the subsolution inequality is a(u,v)≤∫Ωfv against nonnegative tests. For the operator L=−Di(aijDj)+biDi+c, the favourable pointwise sign in the maximum principle is c≥0; negating a supersolution preserves the same coefficients, so the same sign is favourable for the corresponding minimum estimate.
  • Real order versus complex identities. The maximum-principle, De Giorgi and Harnack results use real-valued u, real coefficients and real sources, so their inequalities compare real numbers. Complex local weak solutions use the compactly supported identity of Local weak solutions of a divergence-form operator; a complex global weak identity uses a specified continuous functional on H01. No order notion is assigned to a complex-valued form.
  • No boundary condition is imposed by the subsolution or supersolution notion itself, and the boundary order is only introduced on a bounded C1 domain, through the trace; it is never read off pointwise boundary values of a class.

Sources

  • Simon, Lectures on Partial Differential Equations, Lecture 13, printed pp. 147-158: the real weak form against nonnegative φ∈Cc∞, the conventions (i)-(iv) for u≤0 on ∂Ω and sup⁡∂Ωu=inf⁡{k:u≤k on ∂Ω}, and the weak maximum principle Theorem 4. Simon works with real-valued data; the present definition records the local real order convention and the separate H−1 global extension.
  • Teschl, PDE: From Classical to Modern, Chapter 10 Section 1: Theorem 10.1, Lemma 10.2 and the same boundary convention (v−u)+∈H01(U) for v≤u on ∂U.
  • Schikorra, Partial Differential Equations, Chapter 2 Sections II.1-II.2: Definitions II.1.1 and II.1.3, the sign convention for the zeroth-order term, and Theorem II.2.1.
LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passOpen item page →

Positive-part truncation calculus and admissible cut-off weak tests

Statement

Assume Countable Choice together with the Axiom of Choice, inherited through the published ACL characterisation and the chain-rule interfaces cited below. Let n≥1, let Ω⊆Rn be open, let u∈H1(Ω;R) and k∈R, and put uk:=(u−k)+ and uk−:=(u−k)− on measurable representatives. Then uk,uk−∈Hloc1(Ω;R) with Duk=1{u>k}Du,Duk−=−1{u<k}Dua.e. on Ω, and Duk=0 a.e. on {u≤k}. If ∣Ω∣<∞, then uk,uk−∈H1(Ω); more generally, either truncation belongs to H1(Ω) whenever that truncation is in L2(Ω). In particular, uk∈H1(Ω) for k≥0, and uk−∈H1(Ω) for k≤0. If n≥2, Ω is bounded and C1, and uk∈H01(Ω), then this membership is the boundary condition u≤k on ∂Ω in the sense of Weak subsolutions and supersolutions of a divergence-form equation. For every η∈Cc∞(Ω) the product η2uk lies in H01(Ω) with D(η2uk)=2ηuk Dη+η2Duka.e. on Ω, so η2uk belongs to the Sobolev test space. It is admissible in the global H−1 formulation when the source pairing is continuous; for a local inequality with f∈Lloc2, its pairing extends by density on a bounded neighborhood of the cutoff support. No pairing with a general Lloc1 source and an arbitrary H01 test is asserted. The same membership conclusions hold for k-translates of u+ and for the cut-off functions η2uk with η∈Wc1,∞(Ω).

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; an open set Ω⊆Rn with n≥1; a real class u∈H1(Ω;R); a real level k; and uk=(u−k)+, uk−=(u−k)−.

[F1]

H1(Ω;R)=W1,2(Ω;R) consists of the classes in L2(Ω;R) whose first weak derivatives exist as L2 classes; the weak-derivative formula is the signed test identity (The notation Hk and the reserved zero-boundary symbol, Integer-order Sobolev spaces and their norms).

[F2]

Assume the Axiom of Choice. For u∈W1,p(Ω;R) and F:R→R Lipschitz: F∘u∈Wloc1,p(Ω) with Di(F∘u)=F′(u)Diu almost everywhere where F is differentiable at u, the product being taken as 0 on the null level set NF; moreover F∘u∈W1,p(Ω) exactly when F(u)∈Lp(Ω) (Chain rule for globally Lipschitz scalar maps of Sobolev functions).

[F3]

Assume the Axiom of Choice. For w∈W1,p(Ω;R), w+,w−∈W1,p(Ω;R) with Diw+=1{w>0}Diw, Diw−=−1{w<0}Diw and Diw=0 almost everywhere on {w=0} (Positive, negative, and truncated Sobolev functions).

[F4]

Assume the Axiom of Choice. For η∈Cc∞(Ω) and w∈W1,p(Ω), the product ηw lies in W1,p(Ω) and Di(ηw)=ηDiw+wDiη almost everywhere (Weak Leibniz rule with a smooth factor, Bounded restriction and cutoff localisation in Sobolev spaces).

[F5]

Assume Countable Choice. If w∈H1(Ω) vanishes almost everywhere outside a compact set K0⊂Ω, then its zero extension lies in H1(Rn) and is approximated in the H1 norm by compactly supported smooth functions; choosing mollifier radii smaller than dist⁡(K0,∂Ω) and restricting the approximants exhibits w as an H1(Ω)-limit of Cc∞(Ω) functions, hence w∈H01(Ω) (Compactly supported Sobolev functions extend by zero in every integer order, Compactly supported smooth functions are dense in W^{k,p}(R^n), Zero-boundary Sobolev space as a norm closure).

[F6]

Weak boundary order: when n≥2 and Ω is a bounded C1 domain, u≤k on ∂Ω means (u−k)+∈H01(Ω) (Weak subsolutions and supersolutions of a divergence-form equation).

[F7]

Assume the Axiom of Choice. ACL product rule: if η∈Wc1,∞(Ω;R) and w∈H1(Ω;R), then ηw∈H1(Ω;R) with Di(ηw)=ηDiw+wDiη almost everywhere. Indeed η and w have ACL representatives whose sections are absolutely continuous on almost every line (The ACL characterisation of W1,p), the ordinary product rule holds along those lines, and the resulting a.e. line derivatives determine the weak derivative by the reconstruction lemma (ACL representatives recover their weak gradients by Fubini).

Proof

technique · direct; the truncations are produced by the globally Lipschitz chain rule, and the cut-off tests by the product rules and the compact-support characterisation of $H^1_0$
1.1givenF1F2

The function F(t):=(t−k)+ is Lipschitz with constant 1 and differentiable off k; the chain rule [F2] gives uk∈Hloc1(Ω) and Diuk=1{u>k}Diu locally a.e. If ∣Ω∣<∞, the bound uk≤∣u∣+∣k∣ gives uk∈L2(Ω) and hence H1(Ω); if k≥0, then 0≤uk≤u+, which gives global membership without a finite-measure assumption. In general, global membership follows whenever uk∈L2(Ω), since its weak gradient is bounded by ∣Du∣.

1.2givenF1F2

Likewise G(t):=(t−k)−=max⁡{k−t,0} is Lipschitz with constant 1 and differentiable off k; the chain rule gives uk−∈Hloc1(Ω) and Diuk−=−1{u<k}Diu locally a.e. If ∣Ω∣<∞, then uk−∈L2(Ω) and hence H1(Ω); if k≤0, then 0≤uk−≤u−. In general, global membership follows whenever uk−∈L2(Ω).

2.1step 1.1step 1.2F3

On {u≤k} the indicator 1{u>k} vanishes, so the almost-everywhere identity of step 1.1 gives Diuk=0 almost everywhere on {u≤k}, and a fortiori almost everywhere on {u<k}; at level k=0 this is exactly the positive-part calculus of [F3] for w=u, whose formula Diw+=1{w>0}Diw agrees with step 1.1. The same argument applied to step 1.2 gives Diuk−=0 almost everywhere on {u≥k}.

2.2step 1.1F6given

If n≥2 and Ω is a bounded C1 domain, the equivalence "uk∈H01(Ω) if and only if u≤k on ∂Ω" is the definition of the weak boundary order in [F6], read with uk=(u−k)+; no pointwise boundary values are involved.

2.3step 1.1F4F5

Let η∈Cc∞(Ω) and put v:=η2uk. Choose a bounded neighborhood V of supp⁡η with V‾⊂Ω. By step 1.1, uk∈H1(V); the product rule [F4] gives v∈H1(Ω) with Div=2ηukDiη+η2Diuk almost everywhere. Its support is compact in Ω, so [F5] gives v∈H01(Ω). Since η2≥0 and uk≥0, it is a nonnegative Sobolev test. If the source is in Lloc2 on V, density extends the local inequality to this test; it is also valid for the global formulation whenever the source defines a continuous functional on H01. For a general Lloc1 source, membership alone does not assert that the pairing is defined.

3.1step 2.3F5F7

Now let η∈Wc1,∞(Ω). On a bounded neighborhood V of its support, the ACL product rule [F7] applied twice gives η2uk∈H1(Ω) with Di(η2uk)=2ηukDiη+η2Diuk almost everywhere. Its compact support and nonnegativity again give η2uk∈H01(Ω); admissibility in an inequality requires the same source-pairing condition as in step 2.3.

4.1step 1.1step 1.2step 2.3step 3.1F3∎

Apply steps 1.1-3.1 to v=u+ and v=u−, both of which lie in H1(Ω;R) by [F3]. For every κ∈R, each truncation (v−κ)± lies in Hloc1(Ω) with the corresponding level-set gradient formula, and its cutoff products with η∈Cc∞(Ω) or η∈Wc1,∞(Ω) lie in H01(Ω). Global H1(Ω) membership holds when ∣Ω∣<∞ or when that truncation is in L2(Ω); in particular (v−κ)+∈H1(Ω) for κ≥0, while (v−κ)−=0 for κ≤0 because v≥0. Admissibility in a weak inequality still requires the source pairing to extend continuously to the test space, as specified in the Definition. All steps use only Countable Choice and the Axiom of Choice as declared in [F2]-[F5] and [F7].

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6.1-sol)Open item page →

A function whose trace is at most a level has positive part in the zero-boundary space

Statement

Assume Countable Choice and the Axiom of Choice, inherited through the published trace and density suppliers named below. Let n≥2, let Ω⊂Rn be a bounded C1 domain (Bounded C^k domains and boundary charts), let u∈H1(Ω;R), and let T be the trace operator of The Lp trace operator on a bounded C1 domain. Then Tu≤0 a.e. on ∂Ω implies u+∈H01(Ω), and conversely u+∈H01(Ω) implies Tu≤0 a.e.; more generally, for every k∈R, (u−k)+∈H01(Ω) if and only if Tu≤k a.e. on ∂Ω. In particular the weak boundary order of Weak subsolutions and supersolutions of a divergence-form equation is the pointwise trace order, and the two conventions give the same boundary supremum sup⁡∂Ωu=ess sup⁡∂ΩTu (with value +∞ only if the trace is not essentially bounded above).

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; a bounded C1 domain Ω⊂Rn, n≥2; a real class u∈H1(Ω;R); the trace T; and a real level k.

[F1]

T:W1,2(Ω;R)→L2(∂Ω;R) is linear and bounded, and Tv=v∣∂Ω for every v∈C(Ω‾)∩H1(Ω) (The Lp trace operator on a bounded C1 domain, The trace agrees with classical restriction for continuous Sobolev functions).

[F2]

Assume the Axiom of Choice. Smooth functions on Ω‾ (restrictions of Cc∞(Rn) functions) are dense in H1(Ω), and Cc∞(Ω) is dense in H01(Ω) by definition (Ambient smooth restrictions are dense on bounded C^k domains, Zero-boundary Sobolev space as a norm closure).

[F3]

Assume the Axiom of Choice. {w∈H1(Ω):Tw=0}=H01(Ω) (The kernel of the trace is the closure of the test functions).

[F4]

Assume the Axiom of Choice. If w,wj∈H1(Ω;R) with wj→w in H1, then wj+→w+ in H1: pointwise ∣wj+−w+∣≤∣wj−w∣ and D(wj+−w+)=1{wj>0}Dwj−1{w>0}Dw=1{wj>0}D(wj−w)+(1{wj>0}−1{w>0})Dw, whose first term tends to 0 in L2. Every subsequence has a further subsequence with wj→w a.e.: choose the further terms with ∥wj−w∥22≤2−3j, so ∣{∣wj−w∣>2−j}∣≤2−j and countable subadditivity makes the limsup null. Along this further subsequence the indicator difference tends to zero where w≠0, while Dw=0 a.e. where w=0; dominated convergence with 4∣Dw∣2 makes the second term tend to zero in L2. If the full positive-part sequence did not converge, a subsequence with errors bounded below would contradict this argument. Therefore wj+→w+ in H1 (Positive-part truncation calculus and admissible cut-off weak tests, Positive, negative, and truncated Sobolev functions).

[F5]

Weak boundary order: u≤k on ∂Ω means (u−k)+∈H01(Ω), and sup⁡∂Ωu=inf⁡{k:u≤k on ∂Ω} with inf⁡∅=+∞ (Weak subsolutions and supersolutions of a divergence-form equation).

Proof

technique · direct; approximate by functions smooth up to the boundary, where the trace is the boundary restriction and commutes with truncation, then pass to the limit
1.1givenF1F2

Fix k∈R and put w:=u−k∈H1(Ω;R) and wk:=(u−k)+. By [F2] choose wj∈C∞(Ω‾) with wj→w in H1. For each j, wj+ is continuous on Ω‾ as the maximum of the continuous functions wj and 0, and it lies in H1(Ω) by the Lipschitz chain rule, so [F1] gives Twj+=wj+∣∂Ω=(wj∣∂Ω)+=(Twj)+ (the last equality using Twj=wj∣∂Ω from [F1]); moreover Twj→Tw in L2(∂Ω), so (Twj)+→(Tw)+ in L2(∂Ω) because t↦t+ is 1-Lipschitz on R.

2.1step 1.1F1F4

By [F4], wj+→w+ in H1(Ω), so the continuity of T in [F1] gives Twj+→Tw+ in L2(∂Ω). Since step 1.1 gives Twj+=(Twj)+→(Tw)+ in the same space, uniqueness of L2 limits yields T(w+)=(Tw)+ a.e. on ∂Ω.

3.1step 2.1F3algebra

Consequently, by [F3], w+∈H01(Ω)  ⟺  Tw+=0 in L2(∂Ω)  ⟺  (Tw)+=0 a.e.   ⟺  Tw≤0 a.e. on ∂Ω; since w=u−k and w+=(u−k)+, this is the asserted equivalence (u−k)+∈H01(Ω)  ⟺  Tu≤k a.e.

4.1step 3.1F3F5∎

The boundary supremum. By [F5] and step 3.1, the admissible levels are {k∈R:u≤k on ∂Ω}={k∈R:Tu≤k a.e.}=[ess sup⁡∂ΩTu,+∞) when the trace is essentially bounded above, and the empty set when it is not; the infimum is therefore ess sup⁡∂ΩTu in the first case and +∞ in the second, which proves the boundary-supremum identification. The argument uses only the declared Countable Choice and Axiom of Choice.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passOpen item page →

Caccioppoli inequality for truncated subsolutions

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥2, let Ω⊆Rn be open, and let 0<θ≤Ma2, and let A=(aij) be measurable with aij=aji and θ∣ξ∣2≤∑i,j=1naij(x)ξiξj≤Ma2∣ξ∣2for a.e. x∈Ω and all ξ∈Rn. Write L0u:=−Di(aijDju) and a0(u,v):=∫ΩaijDju Div dx for real u,v∈H1(Ω). Let f∈Lloc2(Ω) and let u∈H1(Ω;R) satisfy the local weak subsolution inequality a0(u,φ)≤∫Ωf φ dxfor every nonnegative φ∈Cc∞(Ω). Then for every k∈R and every η∈Cc∞(Ω) with 0≤η≤1, ∫Ωη2∣D(u−k)+∣2dx≤4Ma2θ∫Ω(u−k)+2∣Dη∣2dx+2θ∫Ωη2(u−k)+f+dx, and for concentric balls Br(x0)⋐BR(x0)⋐Ω, 0<r<R, ∫Br(x0)∣D(u−k)+∣2dx≤C(n,θ,Ma)(1(R−r)2∫BR(x0)(u−k)+2dx+∫BR(x0)(u−k)+f+dx). All integrands are restricted to the superlevel set {u>k}, where (u−k)+>0; the estimate is uniform in k and in the localisation.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; an open Ω⊆Rn, n≥2; constants 0<θ≤Ma2; a measurable symmetric coefficient field A=(aij) with θ∣ξ∣2≤⟨Aξ,ξ⟩≤Ma2∣ξ∣2 a.e.; f∈Lloc2(Ω); and a real class u∈H1(Ω;R) with a0(u,φ)≤∫Ωfφ for every nonnegative φ∈Cc∞(Ω).

[F1]

Assume Countable Choice and the Axiom of Choice. For k∈R and u∈H1(Ω;R), the class uk:=(u−k)+ lies in Hloc1(Ω;R) with Duk=1{u>k}Du, and Duk=0 a.e. on {u≤k}. Global H1(Ω) membership is not asserted for arbitrary k on an infinite-measure domain. For η∈Cc∞(Ω) the product η2uk lies in H01(Ω), is nonnegative, and satisfies D(η2uk)=2ηukDη+η2Duk a.e. (Positive-part truncation calculus and admissible cut-off weak tests, Weak subsolutions and supersolutions of a divergence-form equation).

[F2]

Assume Countable Choice. Every element of H1(Ω) has weak first derivatives in L2(Ω), the weak derivative is linear, and products of L2 classes with bounded measurable coefficients are integrable on compact sets (Integer-order Sobolev spaces and their norms).

[F3]

Bumps: for 0<r<R there is η∈Cc∞(BR(x0)) with 0≤η≤1, η=1 on Br(x0) and ∣Dη∣≤CU/(R−r) for a universal constant CU; the explicit radial bump η(x)=σ((s2−∣x−x0∣2)/(s2−r2)), s=(r+R)/2, of A smooth bump between concentric Euclidean balls and Compactly supported scaled Euclidean bumps provides it, since on the support ∣x−x0∣≤s and the chain rule give ∣Dη∣≤∥σ′∥∞ 2s/(s2−r2)≤∥σ′∥∞ 4/(R−r).

[F4]

Young's inequality with conjugate exponents p=q=2 and weight: for a,b≥0 and ε>0, 2ab≤εa2+b2/ε (Young's inequality for conjugate real exponents); Cauchy–Schwarz in L2 gives ∣∫gh∣≤(∫g2)1/2(∫h2)1/2 (Holder's inequality for integrals, including the endpoint cases).

Proof

technique · direct; insert the truncated test function into the subsolution inequality, expand, and absorb the cross term by Young's inequality
1.1givenF1F2F4algebra

Fix k and η∈Cc∞(Ω) with 0≤η≤1, and put uk:=(u−k)+ and v:=η2uk. By [F1], v∈H01(Ω) is nonnegative; since f∈Lloc2 and the support is compact, density extends the local subsolution inequality to this test. Thus a0(u,v)≤∫Ωη2ukf+ dx. Expanding and using Duk=1{u>k}Du, define S2:=∫Ωη2 aijDjukDiuk dx. The correct identity is S2=a0(u,v)−2∫Ωηuk aijDjukDiη dx≤∫Ωη2ukf+dx+2∣∫Ωηuk aijDjukDiη dx∣. The matrix Cauchy--Schwarz inequality and A≤Ma2I bound the last term by 2∣Ma∣S(∫Ωuk2∣Dη∣2dx)1/2.

2.1step 1.1F4algebra

By Young's inequality 2∣Ma∣Sb≤12S2+2Ma2b2 with b=(∫Ωuk2∣Dη∣2)1/2, step 1.1 gives S2≤2∫Ωη2ukf+dx+4Ma2∫Ωuk2∣Dη∣2dx. Ellipticity gives S2≥θ∫Ωη2∣Duk∣2dx, and therefore ∫Ωη2∣Duk∣2dx≤4Ma2θ∫Ωuk2∣Dη∣2dx+2θ∫Ωη2ukf+dx. This is the first estimate.

3.1step 2.1F3∎

For the ball form let 0<r<R with BR(x0)⋐Ω and choose the bump η of [F3], so that 0≤η≤1, η=1 on Br(x0), supp⁡η⊆BR(x0) and ∣Dη∣≤CU/(R−r). Applying step 2.1 gives the second estimate, with C(n,θ,Ma):=max⁡{4Ma2CU2/θ, 2/θ}. Both estimates are uniform in k, and no choice principle beyond the declared Countable Choice and Axiom of Choice is used.

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Sobolev level-set step: energy decay with explicit level gap and radius loss

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥3, let BR⊂Rn be a ball, and let u∈H1(BR;R). Suppose there is C0≥1 such that for every 0<ρ<R and every level k ∫Bρ∣D(u−k)+∣2dx≤C0 (R−ρ)−2∫BR(u−k)+2dx, i.e. the truncated Caccioppoli estimate of Caccioppoli inequality for truncated subsolutions holds with f=0 on BR. Then there is C=C(n,C0) such that for all 0<r<R and all h<k: ∫Br(u−k)+2dx≤C (R−r)−2(k−h)−4/n(∫BR(u−h)+2dx)1+2/n, and consequently, for u≥0 and h>0, ∣{u>k}∩Br∣≤C (k−h)−2(R−r)−2h−4/n(∫BRu2 dx)1+2/n. For n=2 and each 0<δ<1, the same conclusions hold with 1+δ in place of 1+2/n, (k−h)−2δ and h−2δ in place of the powers −4/n, and the common factor (R−r)−2 replaced by R2−2δ(R−r)−2. Here the constant may also depend on δ. Indeed, the critical Sobolev inequality on BR has the scaled form ∥v∥Lκ(BR)≤SκR2/κ∥Dv∥L2(BR) for finite κ>2, and choosing κ=2/(1−δ) gives δ=1−2/κ. Thus the open range 0<δ<1 is exactly the range supplied by finite κ, and the radius factor is the one dictated by dilation (The critical Sobolev embedding into every finite Lq, The Poincare inequality for zero-boundary Sobolev closures on domains bounded in one direction).

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; n≥2; a ball BR; a real class u∈H1(BR;R); a constant C0≥1 with ∫Bρ∣D(u−k)+∣2≤C0(R−ρ)−2∫BR(u−k)+2 for every 0<ρ<R and every level k; radii 0<r<R and levels h<k.

[F1]

Assume Countable Choice. For k∈R the class uk=(u−k)+ lies in H1(BR;R), and for η∈Cc∞(BR) the product ηuk lies in H01(BR) with D(ηuk)=ηDuk+ukDη almost everywhere (Positive-part truncation calculus and admissible cut-off weak tests, Integer-order Sobolev spaces and their norms).

[F2]

Assume the Axiom of Choice. Sobolev inequality: for n≥3 there is S=S(n)<∞ with ∥v∥L2∗(BR)≤S∥Dv∥L2(BR) for every v∈H01(BR), where 2∗=2n/(n−2) (The Sobolev inequality for zero-boundary Sobolev closures on open sets, The Sobolev conjugate exponent and the scaling identity).

[F3]

Assume the Axiom of Choice. On the unit ball in R2, the critical embedding into every finite Lκ, combined with Poincaré's inequality for H01, gives ∥v∥Lκ(B1)≤Sκ∥Dv∥L2(B1) for finite κ>2. Dilation therefore gives ∥v∥Lκ(BR)≤SκR2/κ∥Dv∥L2(BR) for v∈H01(BR) (The critical Sobolev embedding into every finite Lq, The Poincare inequality for zero-boundary Sobolev closures on domains bounded in one direction).

[F4]

Chebyshev's inequality: for a nonnegative measurable v and t>0, ∣{v>t}∣≤t−2∫v2; and Hölder's inequality gives ∫Ef2≤∣E∣2/n∥f∥L2∗2 for measurable E of finite measure (Chebyshev-Markov inequality for the integral, Holder's inequality for integrals, including the endpoint cases, The space Lp(μ) as the quotient by null functions).

[F5]

The radial cutoff used in the ball-form Caccioppoli estimate has a universal gradient constant: for 0<r<ρ, take s=(r+ρ)/2 and η(x)=σ((s2−∣x∣2)/(s2−r2)). Then η∈Cc∞(Bρ), 0≤η≤1, η=1 on Br, and ∣Dη∣≤CU/(ρ−r) with CU=4∥σ′∥∞, since on the support ∣x∣≤s and s−r=(ρ−r)/2; this is the explicit cutoff calculation in Caccioppoli inequality for truncated subsolutions.

Proof

technique · direct; combine the truncated Caccioppoli estimate with the Sobolev embedding and Chebyshev's inequality, then iterate the resulting measure–energy inequality once
1.1givenF4

Put w:=(u−k)+ and v:=(u−h)+. Since h<k one has 0≤w≤v, and {w>0}={u>k}={v>k−h}⊆{v>0}. Applying Chebyshev's inequality to the nonnegative function v at level k−h>0 gives ∣{w>0}∩Br∣≤∣{v>k−h}∣≤(k−h)−2∫BRv2dx.

1.2givenF1F5algebra

Choose ρ:=(R+r)/2∈(r,R) and the bump η of [F5] with 0≤η≤1, η=1 on Br, supp⁡η⊆Bρ and ∣Dη∣≤CU/(ρ−r)=2CU/(R−r). By [F1], ηw∈H01(BR), and D(ηw)=ηDw+wDη almost everywhere, so the Caccioppoli hypothesis at radius ρ and level k, together with the elementary bound (a+b)2≤2a2+2b2, gives ∫BR∣D(ηw)∣2dx≤2∫Bρη2∣Dw∣2dx+2∫Bρw2∣Dη∣2dx≤8(C0+CU2)(R−r)2∫BRw2dx.

2.1step 1.1F2F4algebra

Assume n≥3 and let 2∗=2n/(n−2). Applying the Sobolev inequality [F2] to ηw∈H01(BR) and then Hölder's inequality [F4] on the support of ηw, which is contained in {w>0}∩Bρ up to a null set, gives ∫Brw2dx≤∫BR(ηw)2dx≤∣{w>0}∩Bρ∣2/nS2∫BR∣D(ηw)∣2dx.

3.1step 1.1step 1.2step 2.1algebra

Substituting the bound of step 1.2 into step 2.1 and then the Chebyshev bound of step 1.1, and using ∫BRw2≤∫BRv2, yields ∫Br(u−k)+2dx≤C(n,C0)(R−r)−2(k−h)−4/n(∫BR(u−h)+2dx)1+2/n, which is the first displayed estimate.

3.2step 1.1step 1.2step 2.1F3F4algebra

Assume n=2 and fix a finite exponent κ>2, put δ:=1−2/κ∈(0,1), and fix η and w as in steps 1.1-1.2. Replacing 2∗ by κ in step 2.1, using the scaled inequality [F3] and Hölder in the form ∫Ef2≤∣E∣1−2/κ∥f∥Lκ2, and inserting steps 1.1 and 1.2 gives ∫Br(u−k)+2dx≤C(κ,C0)R2−2δ(R−r)−2(k−h)−2δ(∫BR(u−h)+2dx)1+δ. As finite κ>2 varies, δ=1−2/κ ranges over exactly (0,1); the factor R2−2δ is precisely the dilation factor from [F3].

4.1step 3.1step 3.2F4algebra

For the measure clause assume u≥0 and h>0. On {u>k}∩Br one has (u−h)+>k−h>0, so Chebyshev's inequality gives ∣{u>k}∩Br∣≤(k−h)−2∫Br(u−h)+2dx, and the first estimate applied with levels 0<h bounds the integral by the displayed energy expression, since u≥0; multiplying the two bounds gives the displayed measure estimate. For n=2 the same argument carries the factor R2−2δ(R−r)−2h−2δ from step 3.2.

5.1step 3.1step 3.2step 4.1∎

Both displayed estimates follow from steps 3.1-4.1 with constants depending only on n, the Sobolev constants and C0; the hypothesis list uses the Caccioppoli estimate of Caccioppoli inequality for truncated subsolutions and the declared Countable Choice and Axiom of Choice only, so no further choice principle is used.

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The nonlinear geometric iteration: an explicit threshold forces convergence to zero

Statement

Let δ>0, C≥1, B≥1, and let (Yj)j≥0 be a sequence of nonnegative real numbers with Yj+1≤C B j Yj 1+δ(j≥0). Put λ:=(2B)−1/δ∈(0,1). If Y0≤C−1/δ(2B)−1/δ2, then Yj≤Y0 λ j(j≥0), so in particular Yj→0 and ∑j≥0Yj<+∞. Equivalently: the explicit smallness condition C Y0δ≤(2B)−1/δ on the initial datum forces geometric decay of the whole sequence with ratio λ.

Facts & Assumptions

Given: real numbers δ>0, C≥1, B≥1, and a sequence (Yj)j≥0 of nonnegative reals with Yj+1≤CBjYj1+δ for all j≥0; put λ=(2B)−1/δ.

[F1]

Real powers with positive base: λδ=1/(2B), so Bλδ=1/2; moreover 0<λ<1 because 2B≥2, and for a>0 and real u,v one has au+v=auav, (au)v=auv and a0=1 (Real powers for positive bases, with the zero-base positive-exponent convention). Also t↦t1+δ is nondecreasing on [0,+∞) because 1+δ>0.

[L1]

Proof

technique · direct induction with the ansatz $Y_j\le Y_0\lambda^j$, using that the induction requirement is largest at $j=0$
1.1givenF1algebra

The hypothesis is equivalent to C Y0δ≤λ: raising Y0≤C−1/δ(2B)−1/δ2 to the power δ>0 gives Y0δ≤C−1(2B)−1/δ=C−1λ, and conversely this inequality implies the original one by raising to the power 1/δ>0 and using the power identities of [F1]. Together with [F1] the data therefore satisfy 0<λ<1, Bλδ=1/2 and C Y0δ≤λ.

2.1step 1.1F1givenalgebra

Induction claim: Yj≤Y0λj for every j≥0. The case j=0 is Y0≤Y0. Assume the claim for some j≥0. Then the recursion, the nonnegativity of Yj and the induction hypothesis give Yj+1≤CBjYj1+δ≤CBj(Y0λj)1+δ=CBjY01+δλj(1+δ), so it suffices to show CBjY0δλjδ−1≤1, equivalently Y0λj+1≥CBjY01+δλj(1+δ). By step 1.1 and [F1], CBjY0δλjδ−1=(CY0δ/λ)(Bλδ)j=(CY0δ/λ) 2−j≤CY0δ/λ≤1. Hence Yj+1≤Y0λj+1, and induction proves the claim for all j.

3.1step 2.1L1F1algebra∎

By step 2.1, 0≤Yj≤Y0λj with 0<λ<1, so Yj→0 by [L1]. Moreover the finite geometric sum identity (1−λ)∑j=0Nλj=1−λN+1, proved by induction on N, gives ∑j=0NYj≤Y0∑j=0Nλj≤Y0/(1−λ) for every N, because λN+1≥0; the partial sums of the nonnegative series ∑j≥0Yj are therefore increasing and bounded above by Y0/(1−λ), so the series converges and ∑j≥0Yj≤Y0/(1−λ)<+∞. Only the displayed power identities and the null geometric sequence are used, so no choice principle is used.

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Weak maximum principle for coercive divergence-form equations

Statement

Assume Countable Choice and the Axiom of Choice through the Poincare and Sobolev suppliers below. Let n≥2, let Ω⊂Rn be a bounded C1 domain, and let L, a and the real coefficient functions aij,bi,c be as in Weak subsolutions and supersolutions of a divergence-form equation, with ellipticity constant θ and bounds Ma,Mb,Mc. Let f∈Lloc1(Ω;R) and u∈H1(Ω;R) be a real local weak subsolution of Lu=f. Suppose the weak sign condition ∫Ω(c ζ+biDiζ)dx≥0for every ζ∈Cc∞(Ω), ζ≥0, holds, and assume c≥0 a.e. on Ω. Then:

  1. Homogeneous case. If f=0 a.e., then ess sup⁡Ωu≤sup⁡∂Ωu+, with the boundary supremum of Weak subsolutions and supersolutions of a divergence-form equation. If in addition b≡0, c≡0, and u is a weak solution of Lu=0, then ess sup⁡Ωu=sup⁡∂Ωu.

  2. Forcing with signed lower order. If b≡0, c≥0 a.e. and f∈Lq(Ω) for some q>n/2 (q>1 when n=2), then the local inequality extends to all nonnegative H01(Ω) tests and ess sup⁡Ωu≤sup⁡∂Ωu++C∥f+∥Lq(Ω),C=C(n,q,θ,Ma,Mc,Ω), where Ω enters C only through its Poincare constant and volume.

If u is a weak supersolution of Lu=f under either set of hypotheses, apply the corresponding bound to −u for the same operator coefficients (a,b,c) and source −f. This gives ess inf⁡Ωu≥−sup⁡∂Ωu− in the homogeneous case and ess inf⁡Ωu≥−sup⁡∂Ωu−−C∥f−∥Lq(Ω) in the forcing case. The maximum-principle conclusions concern real-valued classes and real coefficients.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; a bounded C1 domain Ω⊂Rn, n≥2; real coefficients aij,bi,c∈L∞(Ω) with θ∣ξ∣2≤⟨Aξ,ξ⟩ and ∣aij∣≤Ma, ∣bi∣≤Mb, ∣c∣≤Mc a.e.; f∈Lq(Ω) with q>n/2; and a weak subsolution u∈H1(Ω;R) satisfying the weak sign condition.

[F1]

Assume the Axiom of Choice. Trace, boundary order and truncation: sup⁡∂Ωu=ess sup⁡∂ΩTu and (u−k)+∈H01(Ω) if and only if Tu≤k a.e.; moreover (u−k)+∈H1(Ω) with D(u−k)+=1{u>k}Du, and for η∈Cc∞(Ω) the class η2(u−k)+ is an admissible nonnegative test (A function whose trace is at most a level has positive part in the zero-boundary space, Positive-part truncation calculus and admissible cut-off weak tests, Weak subsolutions and supersolutions of a divergence-form equation, The Lp trace operator on a bounded C1 domain, The kernel of the trace is the closure of the test functions).

[F2]

Sobolev inputs, all in the stated dimension n≥2. The Gagliardo--Nirenberg--Sobolev inequality is stated for Cc∞(Rn) (The p=1 Gagliardo-Nirenberg-Sobolev inequality); if w∈W01,1(Ω), approximate it in W1,1 by Cc∞(Ω), extend each approximant by zero to Rn, and pass to the limit to get ∥w∥Ln/(n−1)(Ω)≤C(n)∥Dw∥L1(Ω). Holder on measurable E⊆Ω then gives ∫E∣w∣ dx≤C(n)∣E∣1/n∫Ω∣Dw∣ dx. The density and zero-extension convention is Zero-boundary Sobolev space as a norm closure, and the Sobolev norms are those of Integer-order Sobolev spaces and their norms. For n≥3 and 1≤p<n there is S=S(n,p) with ∥w∥Lp∗≤S∥Dw∥Lp for w∈W01,p(Ω), p∗=np/(n−p) (The Sobolev inequality for zero-boundary Sobolev closures on open sets); for n=2 the embedding W1,2(Ω)↪Lκ(Ω) holds on bounded extension domains for every finite κ≥1 (The critical Sobolev embedding into every finite Lq). In particular, on the bounded C1 domain Ω, for n≥3 one has H01(Ω)↪Lκ(Ω) for 2≤κ≤2∗, while for n=2 every finite κ≥2 is available, with corresponding constants Sκ. In dimension two these zero-boundary constants require only the volume: for κ>2, set p=2κ/(κ+2)∈(1,2), so p∗=κ. Finite measure makes H01(Ω)⊂W01,p(Ω) by the same smooth approximants, and the zero-boundary Sobolev inequality gives ∥w∥κ≤C(2,p)∥Dw∥p≤C(2,p)∣Ω∣1/κ∥Dw∥2. This proves the claimed dependence of the forcing constant on volume and Poincare constant alone.

[F3]

Poincare inequality on W01,2(Ω): there is CP=CP(Ω) with ∥w∥L2(Ω)≤CP∥Dw∥L2(Ω) for every w∈H01(Ω) (The Poincare inequality for zero-boundary Sobolev closures on domains bounded in one direction).

[F4]

Chebyshev and Holder: ∣{w>t}∣≤t−p∫wp for nonnegative measurable w; and for exponents 1≤r<κ one has ∥w∥Lr(E)≤∣E∣1/r−1/κ∥w∥Lκ(E) for measurable E of finite measure (Chebyshev-Markov inequality for the integral, Holder's inequality for integrals, including the endpoint cases, The space Lp(μ) as the quotient by null functions, The essential supremum of a measurable function with respect to a measure, The essential supremum is attained as the least essential bound).

[F5]

Nonlinear iteration: if Yj+1≤CB jYj 1+δ with C,B≥1, δ>0 and Y0≤C−1/δ(2B)−1/δ2, then Yj≤Y0λj with λ=(2B)−1/δ and Yj→0 (The nonlinear geometric iteration: an explicit threshold forces convergence to zero).

Proof

technique · use the weak sign condition on the first- and second-order truncation tests for the homogeneous maximum bound; for forcing, combine the energy estimate with a De Giorgi iteration whose finite Sobolev exponent is chosen to make the recurrence superlinear
1.1givenF1F3algebra

Homogeneous maximum bound. Put t:=sup⁡∂Ωu+. If t=+∞ the bound is immediate. Otherwise t≥0 and w:=(u−t)+∈H01(Ω) by [F1]. Since the equation is homogeneous, boundedness of the form and density extend its inequality from nonnegative compactly supported smooth tests to all nonnegative H01 tests. For the weak sign condition, choose real ϕj∈Cc∞(Ω) with ϕj→w in H01. Then ϕj2≥0 and ϕj2→w2 in W1,1, since Cauchy--Schwarz gives convergence of both the functions and their gradients. Thus w2∈W01,1 with D(w2)=2wDw, and boundedness of b,c makes ζ↦∫(cζ+biDiζ) continuous on W1,1; the sign condition therefore holds on w2 without asserting w2∈H01. Testing with w and using u=w+t on {w>0} gives 0≥a(u,w)=∫ΩaijDjwDiw+∫Ω(cw2+biDiw w)+t∫Ωcw. The lower-order quadratic term is ∫Ω(cw2+biDiw w)=12∫Ωcw2+12∫Ω(cw2+biDi(w2))≥0, by c≥0 and the extended weak sign condition; the boundary-shift term t∫cw is nonnegative as well. Hence θ∥Dw∥22≤0, and Poincare gives w=0. Therefore ess sup⁡Ωu≤t.

1.2givenF2F3F4algebra

Forcing energy bound. Assume b≡0, c≥0, and f∈Lq(Ω) with the stated exponent. If t:=sup⁡∂Ωu+=+∞, the claim is immediate; otherwise set v:=(u−t)+∈H01(Ω). Since q>n/2, Sobolev and Holder show that f defines a continuous functional on H01(Ω), so the local subsolution inequality extends to this test. On {v>0}, u=v+t, and testing gives θ∥Dv∥22≤∫Ωf+v≤∥f+∥q∥v∥q′. For n≥3 take κ=2∗; for n=2 take any finite κ>q′. Holder, Poincare and the available Sobolev embedding imply ∥v∥q′≤C∥Dv∥2. Thus ∥v∥H01+∥v∥2≤CE∥f+∥q, where constants depend only on the parameters in the Statement.

2.1step 1.2F2F3F4F5algebra

The forcing iteration. Write a:=∥f+∥Lq(Ω). If a=0, step 1.2 gives v=0. Otherwise fix T>0 and define kj=t+T(1−2−j), Ej:={u>kj}, Yj:=∫Ej(u−kj)2, and Bj:=∫Ω∣D(u−kj)+∣2. Let q′ be conjugate to q, and choose κ=2∗ for n≥3; for n=2 choose finite κ>2q′. Set δ:=1−2/κ>0, γ:=1/q′−1/κ>0, and β:=δ+2γ. For n≥3, δ=2/n and q>n/2 gives β=1+4/n−2/q>1; for n=2, β=1+2/q′−4/κ>1 by the choice of κ. Testing with (u−kj)+ and using c≥0, Holder on Ej, and Sobolev gives Bj1/2≤Ca∣Ej∣γ (if Bj=0, Poincare gives (u−kj)+=0). Also ∣Ej+1∣≤(T2−j−1)−2Yj and Sobolev gives Yj+1≤C∣Ej+1∣δBj+1. Consequently Yj+1≤C0a2T−2β22β(j+1)Yjβ. Set B:=22β and Zj:=Yj/T2. Choose T=C1a with C12≥C0B and C12≥CE(2B)1/(β−1)2, where Y0≤CEa2 by step 1.2. Then Zj+1≤(C0B/C12)BjZjβ≤BjZj1+(β−1) and Z0≤(2B)−1/(β−1)2. The nonlinear iteration [F5] gives Zj→0, hence Yj→0. Since (u−t−T)+≤(u−kj)+ and (u−t−T)+∈L2(Ω), this forces (u−t−T)+=0 a.e. on Ω, proving the forcing bound. The finite κ choice in dimension two uses the full open range of the critical Sobolev embedding.

3.1step 1.1F1F3algebra∎

Supersolutions and equality. If u is a weak supersolution of Lu=f, then −u is a weak subsolution of the same operator with coefficients (a,b,c) and source −f, by linearity of the form; applying step 1.1 or step 2.1 yields the stated lower-bound versions with u−=(−u)+ and f−. If u is a weak solution of Lu=0 with b=c=0, let s:=sup⁡∂Ωu. For every finite a.e. upper bound t on u, (u−t)+=0, so [F1] implies Tu≤t a.e.; taking infima gives s≤ess sup⁡Ωu. If s=+∞, this forces ess sup⁡Ωu=+∞=s. If s is finite, (u−s)+∈H01(Ω), and density extends the weak identity to this test. Since b=c=0, it gives 0=a(u,(u−s)+)=∫aijDj(u−s)+Di(u−s)+, so u≤s a.e. The reverse trace bound just proved gives s≤ess sup⁡Ωu, and hence ess sup⁡Ωu=s.

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Weak comparison and uniqueness for the Dirichlet problem

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥2, let Ω⊂Rn be a bounded C1 domain, and let L,a be as in Weak subsolutions and supersolutions of a divergence-form equation with real L∞ coefficients, ellipticity θ and bounds Ma,Mb,Mc, satisfying c≥0 a.e. and the weak sign condition of Weak maximum principle for coercive divergence-form equations. Let f∈Lloc1(Ω) and let u,v∈H1(Ω;R) be a local weak subsolution resp. weak supersolution of Lu=f with u≤v on ∂Ω, i.e. (u−v)+∈H01(Ω). Then u≤v a.e. on Ω. Consequently:

  1. if b≡0, c≥0 a.e. and f∈Lq(Ω) with q>n/2, then every weak solution of Lu=f with u≤0 on ∂Ω satisfies ess sup⁡Ωu≤C∥f+∥Lq(Ω) with the constant of Weak maximum principle for coercive divergence-form equations;
  2. if b≡0, c≥0 a.e. and f=0, then two weak solutions of Lu=0 with the same trace in H1/2(∂Ω) (Weak Dirichlet solutions for a divergence-form operator) agree a.e. on Ω; in particular the homogeneous Dirichlet problem has at most one weak solution for each admissible boundary datum.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; a bounded C1 domain Ω⊂Rn, n≥2; real coefficients satisfying c≥0 and the weak-sign hypotheses of Weak maximum principle for coercive divergence-form equations; a datum f∈Lloc1(Ω); and a local weak subsolution u and local weak supersolution v of Lu=f with (u−v)+∈H01(Ω).

[F1]

Linearity of the form: for every real nonnegative φ∈Cc∞(Ω), a(u−v,φ)=a(u,φ)−a(v,φ); the form is the one of Uniformly elliptic divergence-form operators and their sesquilinear forms.

[F2]

Weak maximum principle: under c≥0 and the weak-sign condition, a real local weak subsolution W∈H1(Ω) of LW=0 satisfies ess sup⁡ΩW≤sup⁡∂ΩW+; with b=0,c≥0 and g∈Lq(Ω), q>n/2, a local subsolution with W+∈H01 satisfies ess sup⁡ΩW≤C∥g+∥Lq (Weak maximum principle for coercive divergence-form equations).

[F3]

Boundary order and traces: sup⁡∂ΩW=ess sup⁡∂ΩTW, and W+∈H01(Ω) implies sup⁡∂ΩW+=0; moreover (u−v)+∈H01(Ω) is exactly the boundary inequality u≤v on ∂Ω (A function whose trace is at most a level has positive part in the zero-boundary space, Weak subsolutions and supersolutions of a divergence-form equation, The kernel of the trace is the closure of the test functions).

Proof

technique · direct; apply the linearity of the form to the difference and invoke the weak maximum principle
1.1givenF1F3

The difference is a local weak subsolution of the homogeneous equation. Let W:=u−v∈H1(Ω;R) and let φ∈Cc∞(Ω;R) be nonnegative. The local subsolution and supersolution inequalities give a(u,φ)≤∫Ωfφ and a(v,φ)≥∫Ωfφ, hence by [F1] a(W,φ)≤0. Moreover (u−v)+=W+∈H01(Ω) by hypothesis, so sup⁡∂ΩW+=0 by [F3].

2.1step 1.1F2F3

Conclusion of the comparison. Step 1.1 exhibits W as a weak subsolution of LW=0 whose positive part lies in H01(Ω); [F2] gives ess sup⁡ΩW≤sup⁡∂ΩW+=0, that is, u≤v a.e. on Ω.

3.1step 2.1F2F3

Consequence 1. If b≡0, c≥0 and f∈Lq(Ω) with q>n/2, and u is a weak solution with u≤0 on ∂Ω, then u is a weak subsolution of Lu=f and u+∈H01(Ω) by the boundary hypothesis; the forcing clause of [F2] gives ess sup⁡Ωu≤C∥f+∥Lq(Ω) with the constant recorded in Weak maximum principle for coercive divergence-form equations.

4.1step 2.1F3∎

Consequence 2 (uniqueness). Let u,v be weak solutions of Lu=0 with the same trace in H1/2(∂Ω). Then (u−v)+∈H01(Ω) and (v−u)+∈H01(Ω) because the traces agree (The kernel of the trace is the closure of the test functions), so step 2.1 applied to the pair (u,v) and to (v,u) gives u≤v and v≤u a.e., i.e. u=v a.e. Hence the homogeneous Dirichlet problem has at most one weak solution for each admissible boundary datum, and the comparison statement and its two consequences use only the declared choice principles.

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De Giorgi local boundedness of homogeneous subsolutions

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥2, let Ω⊆Rn be open, let 0<θ≤Ma2, let A=(aij) be measurable symmetric with θ∣ξ∣2≤∑aij(x)ξiξj≤Ma2∣ξ∣2 for a.e. x and all ξ, and let L0u=−Di(aijDju). Let u∈H1(Ω;R) satisfy u≥0 a.e. and a0(u,v)≤0for every v∈H01(Ω), v≥0 a.e., i.e. u is a nonnegative weak subsolution of L0u=0 (Weak subsolutions and supersolutions of a divergence-form equation). Then u is locally bounded, and for every ball BR(x0)⋐Ω, every 0<ρ<1 and every p>0, ess sup⁡BρR(x0)u≤C(1∣BR(x0)∣∫BR(x0)up dx)1/p,C=C(n,θ,Ma,ρ,p). For n=2 the same statement holds with the critical Sobolev embedding in place of the 2∗ embedding. The constant is scale invariant: it does not depend on R or x0.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; an open Ω⊆Rn, n≥2; constants 0<θ≤Ma2; a measurable symmetric coefficient field A with θ∣ξ∣2≤⟨Aξ,ξ⟩≤Ma2∣ξ∣2 a.e.; a nonnegative class u∈H1(Ω;R) with a0(u,v)≤0 for every nonnegative v∈H01(Ω); a ball BR(x0)⋐Ω.

[F1]

Assume Countable Choice and the Axiom of Choice. a0(w,v)=∫ΩaijDjwDiv dx is defined for w,v∈H1(Ω;R), and the subsolution inequality is the one of Weak subsolutions and supersolutions of a divergence-form equation with f=0; for η∈Cc∞(Ω) and k∈R the class η2(u−k)+ is an admissible nonnegative test (Positive-part truncation calculus and admissible cut-off weak tests).

[F2]

Assume Countable Choice and the Axiom of Choice. Truncated Caccioppoli estimate: for k∈R, f=0 and concentric balls Br⋐BR, ∫Br∣D(u−k)+∣2≤C0(R−r)−2∫BR(u−k)+2 with C0=C0(θ,Ma) (Caccioppoli inequality for truncated subsolutions).

[F3]

Assume Countable Choice and the Axiom of Choice. Level-set step: if u∈H1(BR) and ∫Bρ∣D(u−k)+∣2≤C0(R−ρ)−2∫BR(u−k)+2 holds for all 0<ρ<R and all levels k, then for n≥3, ∫Br(u−k)+2≤C(n,C0)(R−r)−2(k−h)−4/n(∫BR(u−h)+2)1+2/n. For n=2 and each 0<δ<1, the power and integral exponent use 2δ and 1+δ, and the radius factor is R2−2δ(R−r)−2; the constant may depend on δ (Sobolev level-set step: energy decay with explicit level gap and radius loss).

[F4]

Nonlinear iteration: if δ>0, C≥1, B≥1 and Yj+1≤CBjYj1+δ with Y0≤C−1/δ(2B)−1/δ2, then Yj≤Y0λj→0 with λ=(2B)−1/δ (The nonlinear geometric iteration: an explicit threshold forces convergence to zero).

[F5]

Essential supremum and Lp means: a class w satisfies w≤T a.e. if and only if ess sup⁡w≤T. For every 0<p<q, Hölder applied to ∣w∣p and 1 with exponents q/p and q/(q−p) gives ∫E∣w∣p≤∣E∣1−p/q(∫E∣w∣q)p/q (The essential supremum is attained as the least essential bound, The essential supremum of a measurable function with respect to a measure, Holder's inequality for integrals, including the endpoint cases, The space Lp(μ) as the quotient by null functions, The average of a locally integrable function over a Euclidean ball).

[F6]

Assume the Axiom of Choice. The globally Lipschitz chain rule and weak product rule justify the compositions and cutoff tests. For a convex Lipschitz truncation PN, scalar convolution followed by subtracting the value at zero gives smooth convex nondecreasing approximants; their compositions converge in Hloc1 by the chain rule and dominated convergence. Monotone convergence applies to PN(u)↑uβ as N→∞ (Chain rule for globally Lipschitz scalar maps of Sobolev functions, Weak Leibniz rule with a smooth factor, Dominated convergence, Monotone convergence for the integral).

[F7]

Weighted Young inequality: if 0<p<2, then for X,Y≥0 and every ϵ>0, XY≤ϵX2/(2−p)+Cpϵ−(2−p)/pY2/p, with Cp depending only on p (Young's inequality for conjugate real exponents).

Proof

technique · derive the $L^2$ mean-to-supremum estimate by the dyadic De Giorgi level recurrence, obtain any smaller-ball ratio by a finite cover with an explicit radius-gap constant, then use convex power truncations for $p\ge2$ and a two-scale interpolation iteration for $0<p<2$
1.1givenF1F6algebra

Convex power truncations. Fix β≥1 and N≥1, and define the convex nondecreasing Lipschitz function PN(s):={0,s≤0,sβ,0<s≤N,Nβ+βNβ−1(s−N),s>N. It satisfies PN(0)=0 and PN(u)≥0 since u≥0. Let Gϵ be a smooth convolution of PN minus its value at zero. Then Gϵ(0)=0, Gϵ′≥0, Gϵ′′≥0, and the Lipschitz constants are uniformly bounded for this fixed N. For a nonnegative ϕ∈Cc∞(Ω), the test Gϵ′(u)ϕ is nonnegative and belongs to H01 on a bounded neighborhood of its support. Since the equation is homogeneous, density extends the subsolution inequality to this test. The chain and product rules give a0(Gϵ(u),ϕ)=a0(u,Gϵ′(u)ϕ)−∫ΩGϵ′′(u) aijDjuDiu ϕ dx≤0. As ϵ↓0, the compositions converge to PN(u) in Hloc1 by [F6], so the displayed inequality passes to PN(u) against each smooth nonnegative test. Thus PN(u) is a nonnegative local weak subsolution. No subsolution property of the smooth approximants is required.

1.2givenF2F3algebra

The dyadic recurrence. Assume ∫BRu2>0 (otherwise u=0 a.e. on BR), fix BR=BR(x0)⋐Ω and T>0, and put kj:=T(1−2−j), rj:=R(1/2+2−j−1), Yj:=∫Brj(u−kj)+2dx for j≥0. Set δ:=2/n if n≥3, and δ:=1/2 if n=2 (so the latter uses the finite exponent κ=4). Applying [F3] with outer radius rj and inner radius rj+1, and using rj−rj+1=R2−j−2 and kj+1−kj=T2−j−1, gives Yj+1≤C1B0jR−nδT−2δYj1+δ,B0:=22+2δ, where C1=C1(n,θ,Ma)≥1. For n=2, the scaled radius factor in [F3] contributes rj2−2δ(rj−rj+1)−2≤CR−2δ22j; for n≥3, nδ=2 and the same displayed scale follows directly.

2.1step 1.2F4F5

The iteration closes. Write Zj:=R−nT−2Yj. Then the recurrence of step 1.2 reads Zj+1≤C1B0jZj1+δ, with δ=2/n for n≥3 and δ=1/2 for n=2, and Z0=R−nT−2∫BRu2. By [F4], if R−nT−2∫BRu2≤C1−1/δ(2B0)−1/δ2 then Zj→0; choosing T:=c0(R−n∫BRu2)1/2 with c0:=C11/(2δ)(2B0)1/(2δ2) meets this condition. Then ∫BR/2(u−T)+2≤Yj→0, so u≤T a.e. on BR/2(x0) and hence, by [F5], ess sup⁡BR/2(x0)u≤c0(R−n∫BR(x0)u2)1/2=C2(1∣BR(x0)∣∫BR(x0)u2)1/2 with C2=C2(n,θ,Ma).

3.1step 2.1algebra

Every smaller-ball ratio with a gap bound. Fix 0<σ<1 and set d:=(1−σ)R/2. A finite collection of balls Bd/2(xℓ) with centers in BσR(x0) covers BσR(x0), and each outer ball Bd(xℓ) is compactly contained in BR(x0). Applying the half-ball L2 estimate of step 2.1 to each outer ball yields ess sup⁡Bd/2(xℓ)u≤C2(1∣Bd∣∫Bd(xℓ)u2)1/2≤C2(21−σ)n/2(1∣BR∣∫BRu2)1/2. Taking the finite union gives the same bound on BσR. This quantitative gap dependence controls the radius losses in the subsequent small-exponent argument. In particular, u is essentially bounded on each strictly smaller ball.

4.1step 1.1step 3.1F6

The case p≥2. If ∫BRup=∞ the estimate is automatic. Fix p≥2 and put β:=p/2. For each N≥1, wN:=PN(u) is a nonnegative local weak subsolution by step 1.1 and lies in H1(Ω) because PN is globally Lipschitz with PN(0)=0. The zero-source inequality extends to all nonnegative H01(Ω) tests, so the local boundedness theorem applies. The arbitrary-ratio p=2 estimate of step 3.1 gives ess sup⁡BρRwN≤C2(ρ)(1∣BR∣∫BRwN2)1/2. As N→∞, wN↑uβ and wN2↑u2β, so monotone convergence [F6] and monotonicity of essential supremum give ess sup⁡BρRuβ≤C2(ρ)(1∣BR∣∫BRup)1/2. Taking the β-th root proves the estimate, with constant C2(ρ)1/β.

4.2step 3.1F5F7algebra

The case 0<p<2. Put A:=(1∣BR∣∫BRup)1/p. If A=0, then u=0 a.e. on BR; otherwise 0<A<∞. Let s∗:=(1+ρ)/2, rj:=ρR+(s∗R−ρR)(1−2−j), and Mj:=ess sup⁡Brju. By step 3.1, Mj≤C∗(1−rj/R)−n/2(1∣BR∣∫BRu2)1/2<∞. Apply the p=2 estimate of step 3.1 to u on the outer ball Brj+1 with inner ratio rj/rj+1. Its explicit gap bound gives a constant Cj≤C4bj (because rj+1−rj is a fixed multiple of 2−jR), and Holder gives Mj≤CjMj+11−p/2Ap/2. For any ϵ>0, [F7] yields Mj≤ϵMj+1+C5ϵ−(2−p)/pCj2/pA. Choose ϵ with ϵb2/p<1 and iterate. The geometric series ∑j≥0ϵjCj2/p converges, while Mj≤M∗<∞ by step 3.1 on the fixed ball Bs∗R, so ϵjMj→0. Hence M0≤C6A, proving the desired estimate on BρR. This proves every 0<p<2 directly and requires no limit as the radius approaches R.

5.1step 4.1step 4.2∎

Conclusion. Steps 4.1 and 4.2 prove the estimate for every p>0; the constants depend only on n,θ,Ma,ρ,p, and scaling shows independence of R and x0.

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De Giorgi local boundedness with a scale-correct forcing term

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥2, let Ω⊆Rn be open, let A and L0 be as in De Giorgi local boundedness of homogeneous subsolutions, and let f∈Llocq(Ω) with q>n/2. Let u∈H1(Ω;R) satisfy u≥0 a.e. and a0(u,φ)≤∫Ωf φ dxfor every nonnegative φ∈Cc∞(Ω;R). Then for every ball BR(x0)⋐Ω, every 0<ρ<1 and every p>0, ess sup⁡BρR(x0)u≤C[(1∣BR(x0)∣∫BR(x0)up dx)1/p+R 2−n/q∥f+∥Lq(BR(x0))], with C=C(n,q,θ,Ma,ρ,p) independent of R and x0. The factor R2−n/q is dictated by dilation of the equation: the forcing term has the dimension of u for every q. The strict threshold q>n/2 is an integrability hypothesis for this boundedness estimate, not a condition for dimensional consistency; the n=2 case admits any q>1 with the critical Sobolev embedding in place of the 2∗ embedding.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; an open set Ω⊆Rn, n≥2; constants 0<θ≤Ma2; measurable symmetric coefficients A with θ∣ξ∣2≤⟨A(x)ξ,ξ⟩≤Ma2∣ξ∣2; the principal operator L0u=−Di(aijDju) with form a0; a source f∈Llocq(Ω), q>n/2; a nonnegative u∈H1(Ω;R) with a0(u,φ)≤∫Ωfφ dx for all nonnegative φ∈Cc∞(Ω;R); a ball BR(x0)⋐Ω and 0<ρ<1.

[F1]

Assume Countable Choice and the Axiom of Choice. Sobolev positive-part calculus: for w∈H1(Ω;R), w+∈H1 with Dw+=1{w>0}Dw and Dw=0 a.e. on {w=0}; multiplication by a compactly supported smooth factor obeys the weak product rule. If a0(w,v)≤0 for every nonnegative v∈H01(Ω), then w+ is a weak subsolution of the principal operator, so a0(w+,v)≤0 for every nonnegative v∈H01(Ω). Here is the admissible truncation proof. For ϕ∈Cc∞(Ω), ϕ≥0, set ηϵ(t)=min⁡{1,t+/ϵ}. The chain and product rules give ψϵ=ϕηϵ(w)∈H1 with compact support in Ω, hence ψϵ∈H01(Ω); it is nonnegative, and Diψϵ=ηϵ(w)Diϕ+ϵ−1ϕ1{0<w<ϵ}Diw (the level-set endpoints contribute zero because Sobolev gradients vanish a.e. on a level set). Thus a0(w,ψϵ)=∫Ωηϵ(w)aijDjwDiϕ dx+1ϵ∫{0<w<ϵ}ϕ aijDjwDiw dx≤0. The second integral is nonnegative by symmetry, ellipticity, and ϕ≥0, so the first is nonpositive. As ϵ↓0, ηϵ(w)→1{w>0} pointwise and is bounded by 1; dominated convergence applies because A is bounded and ∣Dw∣∣Dϕ∣ is integrable on supp⁡ϕ. Using Dw+=1{w>0}Dw gives a0(w+,ϕ)≤0. To extend from smooth tests to every nonnegative v∈H01, choose zj∈Cc∞(Ω) with zj→v in H1 and pass to a subsequence with zj→v a.e. The positive-part gradient formulas give Dzj+−Dv=1{zj>0}(Dzj−Dv)+(1{zj>0}−1{v>0})Dv. The first term tends to zero in L2; the second does too by dominated convergence, since its indicator tends to zero on {v>0} and Dv=0 a.e. on {v=0}. Also zj+→v in L2 by the 1-Lipschitz property, hence zj+→v in H1. Each nonzero zj+ has compact support in Ω; zero-extend it and convolve with a nonnegative unit-mass radial mollifier, chosen with support radius smaller than dist⁡(supp⁡zj+,∂Ω) (if zj+=0, keep the zero function). The mollified functions are nonnegative and in Cc∞(Ω), and converge to zj+ in H1 by approximate-identity convergence applied to the function and its weak gradient. A diagonal choice gives nonnegative smooth tests converging to v. Boundedness of a0(w,⋅) passes the inequality to v. In particular, no product of an indicator with an arbitrary test is asserted to lie in H01. (Positive-part truncation calculus and admissible cut-off weak tests, Positive, negative, and truncated Sobolev functions, Chain rule for globally Lipschitz scalar maps of Sobolev functions, Weak Leibniz rule with a smooth factor, Compactly supported Sobolev functions extend by zero in every integer order, A radial mollifier family in Rn, A smooth bump between concentric Euclidean balls, The mollifier family generated by a unit-mass smooth bump, Interior mollification commutes with weak derivatives, Every L1 approximate identity converges to the identity in Lp for 1≤p<∞, Dominated convergence, Zero-boundary Sobolev space as a norm closure, Integer-order Sobolev spaces and their norms, The elliptic form is well defined and bounded on H1, Uniformly elliptic divergence-form operators and their sesquilinear forms, Weak subsolutions and supersolutions of a divergence-form equation).

[F2]

Assume the Axiom of Choice. Lax-Milgram and coercivity: H1(B1) is Hilbert by Hk is a Hilbert space under the derivative-sum inner product. Its subspace H01(B1) is closed and linear by its closure definition: a Cauchy sequence there converges in H1(B1), and its limit still lies in the closure of the smooth tests. Thus the restricted derivative-sum inner product makes H01(B1) Hilbert. The form a0 is a bounded sesquilinear form on the Hilbert space H01(B1) with coercivity constant α=θ/(1+CP(B1)2), and for every bounded conjugate-linear functional G on H01(B1) there is a unique h∈H01(B1) with a0(h,v)=G(v) for all v∈H01(B1), the weak Dirichlet solution; it satisfies α∥h∥H01≤∥G∥H−1 (The Lax--Milgram theorem, Coercivity of the principal Dirichlet form, The elliptic form is well defined and bounded on H1, The negative Sobolev space H−1(Ω), Weak Dirichlet solutions for a divergence-form operator, Zero-boundary Sobolev space as a norm closure).

[F3]

Assume the Axiom of Choice. Embedding of H01 into the dual exponents of Lq: for n≥3 and 1≤r<2∗=2n/(n−2) there is Cr with ∥w∥Lr(B1)≤Cr∥w∥H01(B1) for all w∈H01(B1), by Holder and the Sobolev inequality; for n=2 the same holds for every finite r by the critical embedding W01,2(B1)↪Lr(B1) (The Sobolev inequality for zero-boundary Sobolev closures on open sets, The critical Sobolev embedding into every finite Lq, Holder's inequality for integrals, including the endpoint cases, The space Lp(μ) as the quotient by null functions).

[F4]

Assume the Axiom of Choice. The weak maximum principle with a source on the bounded C1 domain B1: if v∈H1(B1;R) satisfies a0(v,φ)≤∫B1gφ dx for every nonnegative φ∈H01(B1) with g∈Lq(B1), q>n/2, then ess sup⁡B1v≤sup⁡∂B1v++C0∥g+∥Lq(B1) with C0=C0(n,q,θ,Ma,B1); in particular for v∈H01(B1) one has ess sup⁡B1v≤C0∥g+∥Lq(B1), and if g≤0 then v≤0 a.e. (Weak maximum principle for coercive divergence-form equations, The Lp trace operator on a bounded C1 domain, The kernel of the trace is the closure of the test functions, Bounded C^k domains and boundary charts).

[F5]

Assume the Axiom of Choice. Homogeneous local boundedness: if w∈H1(B1;R) satisfies w≥0 a.e. and a0(w,v)≤0 for every nonnegative v∈H01(B1), then for every 0<s<1, every 0<σ<1 and every p>0, ess sup⁡Bσsw≤C1(1∣Bs∣∫Bswp dx)1/p; this is the homogeneous theorem applied on the compactly contained ball Bs⋐B1 (De Giorgi local boundedness of homogeneous subsolutions).

Proof

technique · direct; rescale the problem to the unit ball, remove the source by subtracting a barrier built with Lax-Milgram whose size is controlled by the weak maximum principle, apply the homogeneous local boundedness estimate to the positive part of the difference, and undo the rescalings
1.1givenalgebra

Scaling the problem to the unit ball. Define v(y):=u(x0+Ry) for y∈B1, AR(y):=A(x0+Ry) and g(y):=R2f(x0+Ry), so that g∈Lq(B1) with ∥g+∥Lq(B1)=R2−n/q∥f+∥Lq(BR(x0)) and 1∣B1∣∫B1vp dy=1∣BR(x0)∣∫BR(x0)up dx by the change of variables x=x0+Ry; the coefficients AR are again measurable, symmetric and uniformly elliptic with the same constants θ,Ma. Since f∈Lq(BR) and q>n/2, Sobolev and Holder extend the local inequality by density to nonnegative H01(BR) tests. For every such test φ∈H01(B1) the pullback φR(x):=φ((x−x0)/R) lies in H01(BR(x0)) with DφR(x)=R−1Dφ(y), hence a0R(v,φ)=R2−n∫BR(x0)aijDjuDiφR dx≤R2−n∫BR(x0)fφR dx=∫B1gφ dy, where a0R is the form of AR; so v≥0 satisfies the same subsolution inequality on B1 with source g.

2.1step 1.1F1F2F3F4F5

Removing a small source by a barrier. Let U∈H1(B1;R) satisfy U≥0 a.e. and a0(U,φ)≤∫B1gφ dx for all nonnegative φ∈H01(B1) with ∥g+∥Lq(B1)≤1; then for every 0<ρ<1, every p>0 and some C2=C2(n,q,θ,Ma,ρ,p) one has ess sup⁡BρU≤C2(1∣B1∣∫B1Up dx)1/p+C2. Indeed, by [F3] the functional φ↦∫B1g+φ dx is bounded on H01(B1), so by [F2] there is a unique h∈H01(B1) with a0(h,φ)=∫B1g+φ dx for all φ∈H01(B1). Since −h is a weak subsolution with source −g+≤0 and zero boundary values, [F4] gives h≥0; it also gives ess sup⁡B1h≤C0∥g+∥Lq(B1)≤C0. The difference w:=U−h satisfies a0(w,φ)≤−∫B1g−φ dx≤0 for all nonnegative φ∈H01(B1), so w+ is a nonnegative homogeneous weak subsolution by [F1]. Since h≥0 and U≥0, w+=(U−h)+≤U. Fix s:=(1+ρ)/2, so ρ<s<1, and apply [F5] to w+ on the outer ball Bs⋐B1 with inner ratio σ=ρ/s. This gives ess sup⁡Bρw+≤C(1∣Bs∣∫Bs(w+)p)1/p≤C′(1∣B1∣∫B1Up)1/p, where the volume ratio is absorbed into C′. Hence ess sup⁡BρU≤ess sup⁡Bρw++ess sup⁡B1h≤C2(1∣B1∣∫B1Up)1/p+C2.

3.1step 1.1step 2.1F5F6algebra∎

Undoing the rescaling and the normalisation. If ∥g+∥Lq(B1)=0 then v is itself a homogeneous weak subsolution and [F5] gives the claim directly with the forcing term absent. Otherwise put FR:=∥g+∥Lq(B1)>0 and U:=v/FR, so that U≥0, a0(U,φ)≤∫B1(g/FR)φ dx for all nonnegative φ∈H01(B1) and ∥(g/FR)+∥Lq(B1)=1; step 2.1 applied to U gives ess sup⁡BρU≤C2(1∣B1∣∫B1Up)1/p+C2, and multiplying by FR, ess sup⁡Bρv≤C2(1∣B1∣∫B1vp)1/p+C2FR. Substituting the identities of step 1.1 gives ess sup⁡BρR(x0)u≤C2(1∣BR(x0)∣∫BR(x0)up dx)1/p+C2R2−n/q∥f+∥Lq(BR(x0)), which is the asserted estimate with C:=max⁡{C2,1}; the constant depends only on n,q,θ,Ma,ρ,p, and the argument uses Countable Choice and the Axiom of Choice exactly through the cited suppliers.

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De Giorgi oscillation reduction: one half-level set is small

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥2, let Ω⊆Rn be open, let A and L0 be as in De Giorgi local boundedness of homogeneous subsolutions, and let u∈H1(Ω;R) be a weak solution of L0u=0 on Ω. Write M:=ess sup⁡BR(x0)u, m:=ess inf⁡BR(x0)u and osc⁡BR(x0)u:=M−m for balls BR(x0)⋐Ω. Then the two half-level sets cannot both be large, and one of them is small enough to reduce the oscillation:

  1. (dichotomy) at least one of ∣{u>(M+m)/2}∩BR(x0)∣ and ∣{u<(M+m)/2}∩BR(x0)∣ is at most 12∣BR(x0)∣;
  2. (quantitative reduction) there are constants η=η(n,θ,Ma)∈(0,1) and C=C(n,θ,Ma) such that for every BR(x0) with B2R(x0)⋐Ω, ess osc⁡BR/2(x0)u≤η ess osc⁡BR(x0)u. Moreover the constant η may be chosen as 1−η0/2 where η0>0 depends only on n,θ,Ma; the proof uses localized truncated Caccioppoli estimates and applies the local boundedness estimate De Giorgi local boundedness of homogeneous subsolutions to a nonnegative truncation on the inner ball.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; an open Ω⊆Rn, n≥2; a measurable symmetric coefficient field A with θ∣ξ∣2≤⟨Aξ,ξ⟩≤Ma2∣ξ∣2 a.e.; a weak solution u∈H1(Ω;R) of L0u=0; and a ball B2R(x0)⋐Ω.

[F1]

Assume Countable Choice and the Axiom of Choice. Local boundedness: every nonnegative weak subsolution w of L0w=0 on an open set satisfies ess sup⁡Bρr(y)w≤C1(ρ)(1∣Br(y)∣∫Br(y)w2)1/2 for every Br(y)⋐Ω and every 0<ρ<1, with C1(ρ)=C1(n,θ,Ma,ρ) (De Giorgi local boundedness of homogeneous subsolutions).

[F2]

Truncated Caccioppoli estimate and truncation subsolution property. For a solution u of L0u=0 and any k, choose smooth nondecreasing χϵ with χϵ=0 on (−∞,0], χϵ=1 on [ϵ,∞), and χϵ≥0. Testing the local equation with φχϵ(u−k) for nonnegative φ∈Cc∞ is justified by H01 density; expansion gives 0=∫χϵ(u−k)ADu⋅Dφ+∫φχϵ′(u−k)ADu⋅Du, so the first integral is nonpositive. Letting ϵ↓0, the Sobolev chain rule and Du=0 a.e. on {u=k} give a0((u−k)+,φ)≤0. Thus (u−k)+ is a nonnegative local weak subsolution. Also, for Br⋐BR, ∫Br∣D(u−k)+∣2≤C0(R−r)−2∫BR(u−k)+2 with C0=C0(θ,Ma) (Local weak solutions of a divergence-form operator, Weak subsolutions and supersolutions of a divergence-form equation, Positive-part truncation calculus and admissible cut-off weak tests, Caccioppoli inequality for truncated subsolutions, Sobolev level-set step: energy decay with explicit level gap and radius loss).

[F3]

Assume the Axiom of Choice. Smooth functions on the closed ball are dense in H1(BR), and H1(BR) is the closure of C∞(B‾R) under the Sobolev norm; a.e. convergence and L2 convergence of the gradients may be assumed along a subsequence (Ambient smooth restrictions are dense on bounded C^k domains).

[F4]

Measure conventions: ess sup⁡ and ess inf⁡ are the least essential upper and greatest essential lower bounds, and ∣⋅∣ denotes Lebesgue measure. The signed-extrema convention is Weak subsolutions and supersolutions of a divergence-form equation; The essential supremum is attained as the least essential bound and The essential supremum of a measurable function with respect to a measure concern the corresponding absolute essential bound.

[F5]

Fatou's lemma: if nonnegative indicators have pointwise lower limit at least the indicator of a limiting set, then the measure of that set is at most the lower limit of the approximating measures (Fatou's lemma).

Proof

technique · direct; after normalisation the measure of the level sets is driven down by a telescoping De Giorgi iteration, and the local boundedness estimate turns the small measure of the top level set into a sup bound
1.1givenF1F2F4algebra

Dichotomy and normalisation. For any BR(x0)⋐Ω, local boundedness applied to u+ and (−u)+ on slightly larger interior balls gives finite M,m; these truncations are subsolutions by [F2]. The strict sets {u>(M+m)/2}∩BR and {u<(M+m)/2}∩BR are disjoint, so at least one has measure at most ∣BR∣/2, proving claim 1. For claim 2 assume now B2R(x0)⋐Ω. If L:=(M−m)/2=0, then u is constant a.e. on BR and the reduction is immediate. Otherwise define v(y):=(u(x0+Ry)−(M+m)/2)/L on B2(0). It solves the homogeneous equation with rescaled coefficients A(x0+Ry) and the same bounds θ,Ma, with essential extrema 1,−1 on B1. Oscillations scale by L, so it remains to prove ess osc⁡B1/2v≤2−η0 for a universal η0>0. The dichotomy gives the required half-level measure bound on B1.

1.2givenF3F4F5algebra

The measure estimate. Let w∈H1(BR) and t<T. Then ∣{w≤t}∩BR∣ ∣{w≥T}∩BR∣1−1/n≤CnT−t∣BR∣∫BR∣Dw∣dx. For smooth w, fix y with w(y)≥T and write x=y+rω for x with w(x)≤t. Along the segment, T−t≤w(y)−w(x)≤∫0r∣Dw(y+sω)∣ds. Integrating over the low set in polar coordinates, interchanging the radial integrals, and using r≤2R gives ∣{w≤t}∩BR∣≤Cn∣BR∣T−t∫BR∣Dw(z)∣∣z−y∣n−1dz. Integrate this in y over H:={w≥T}∩BR. For every measurable E of finite measure, splitting the kernel integral at radius ∣E∣1/n gives sup⁡z∫E∣z−y∣1−ndy≤Cn∣E∣1/n; hence the asserted inequality follows after division by ∣H∣1/n (the cases ∣H∣=0 or ∣{w≤t}∣=0 are immediate). For general w, choose wj∈C∞(B‾R) converging strongly in H1 and a subsequence converging a.e. Given 0<ϵ<(T−t)/2, apply the smooth inequality to wj at levels t+ϵ,T−ϵ. Pointwise lower limits of the indicators dominate those of {w≤t} and {w≥T}; [F5] passes the left side to the limit, while strong L2 convergence of gradients gives convergence of ∫∣Dwj∣. Letting ϵ↓0 proves the claim. For its transition-set form, apply it to z:=min⁡{(w−t)+,T−t} at levels 0,T−t. Then {z≤0}={w≤t}, {z≥T−t}={w≥T}, and Dz=1{t<w<T}Dw a.e. Thus if ∣{w≤t}∩BR∣≥γ∣BR∣, then Cauchy--Schwarz gives ∣{w≥T}∩BR∣1−1/n≤Cnγ(T−t)∣{t<w<T}∩BR∣1/2(∫BR∣D(w−t)+∣2)1/2. The Sobolev truncation chain rule also gives Dw=0 a.e. on the endpoint level sets.

2.1step 1.2F2algebra

The telescoping iteration. Work with the normalised v of step 1.1 on B1 and suppose first ∣{v>0}∩B1∣≤12∣B1∣. Set s:=(3/4)1/n, so ∣Bs∣=34∣B1∣, and put Tk:=1−2−k−1, Ek:={v>Tk}∩Bs, and Mk:=∣Ek∣. Since {v≤0}∩B1=B1∖({v>0}∩B1) has measure at least 12∣B1∣ and Tk>0, it follows that ∣{v≤Tk}∩Bs∣≥12∣B1∣−∣B1∖Bs∣=14∣B1∣=13∣Bs∣ for every k. The truncated Caccioppoli estimate of [F2], applied with outer radius 1 and inner radius s, gives ∫Bs∣D(v−Tk)+∣2≤C(n,θ,Ma)(1−Tk)2∣B1∣, since v≤1 a.e. on B1. Apply the transition-set inequality of step 1.2 on Bs with t=Tk, T=Tk+1, and γ=1/3. As Tk+1−Tk=(1−Tk)/2, the level gap cancels the Caccioppoli factor and yields Mk+11−1/n≤C(n,θ,Ma)∣B1∣1/2(Mk−Mk+1)1/2,Mk+12−2/n≤C(n,θ,Ma)(Mk−Mk+1). The constant absorbs the fixed volume ∣B1∣.

3.1step 2.1algebra

Summation. Summing the inequalities of step 2.1 over k=0,…,N−1 and using Mk+1≥MN gives NMN2−2/n≤C∑k=0N−1(Mk−Mk+1)=C(M0−MN)≤C∣B1∣, hence MN≤C(n,θ,Ma)N−n/(2n−2)∣B1∣ for every N≥1.

4.1step 3.1F1F2algebra

The top level set is finally small. By [F2], vN:=(v−TN)+ is a nonnegative subsolution of L0w=0. Apply the local boundedness estimate [F1] on outer ball Bs with inner ratio (2s)−1; since B1/2⊂Bs and ∫BsvN2≤MN(1−TN)2, this gives ess sup⁡B1/2vN≤C1(n,θ,Ma)(∣Bs∣−1MN)1/2(1−TN)≤C2N−n/(4n−4)(1−TN) by step 3.1. Choose N=N(n,θ,Ma)≥1 so large that C2N−n/(4n−4)≤12; then v≤TN+12(1−TN)=1−η0 on B1/2 with η0:=12(1−TN)>0.

5.1step 1.1step 4.1algebra∎

Conclusion of the reduction. If instead ∣{v<0}∩B1∣≤12∣B1∣, steps 2.1-4.1 apply verbatim to −v (which is again a solution of the homogeneous equation) and give v≥−1+η0 on B1/2. In the first case ess sup⁡B1/2v≤1−η0 and ess inf⁡B1/2v≥−1, in the second ess sup⁡B1/2v≤1 and ess inf⁡B1/2v≥−1+η0; in both cases ess osc⁡B1/2v≤2−η0. Undoing the affine normalisation of step 1.1 multiplies both oscillations by L and preserves the radius ratio, so ess osc⁡BR/2(x0)u≤(1−η0/2)ess osc⁡BR(x0)u, which is claim 2 with η:=1−η0/2∈(0,1) and with η0, hence η, depending only on n,θ,Ma.

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De Giorgi-Nash interior Holder regularity for divergence-form equations

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥2, let Ω⊆Rn be open, and let A, L0 be as in De Giorgi local boundedness of homogeneous subsolutions, with measurable symmetric uniformly elliptic coefficients and constants θ,Ma. Let u∈H1(Ω;R) be a weak solution of L0u=0 on Ω. Then there are α=α(n,θ,Ma)∈(0,1) and, for every α′∈(0,α), a class u∗∈Cloc0,α′(Ω) (Local Hölder and scaled C-two-alpha norms on balls, Hölder spaces Ck,α, closure and interior scaled norms, and Ck,α domains) with u∗=u a.e. on Ω, and for every ball BR0(x0)⋐Ω, [u∗]0,α′;BR0/2(x0)≤C(n,θ,Ma,α′) R0−α′(1∣BR0(x0)∣∫BR0(x0)u2 dx)1/2, and ∥u∗∥L∞(BR0/2(x0))≤CR0−n/2∥u∥L2(BR0(x0)). In particular every real weak solution of the homogeneous scalar equation with the symmetric bounded measurable uniformly elliptic principal coefficients specified above has a locally Holder continuous representative, and the representative is unique up to equality everywhere on Ω.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; an open Ω⊆Rn, n≥2; measurable symmetric uniformly elliptic coefficients A with constants θ,Ma; the principal operator L0u=−Di(aijDju) with form a0; a real weak solution u∈H1(Ω;R); and a ball BR0(x0)⋐Ω.

[F1]

One-step oscillation reduction: there is η=η(n,θ,Ma)∈(0,1) such that for each ball BR(x) with B2R(x)⋐Ω, ess osc⁡BR/2(x)u≤ηess osc⁡BR(x)u (De Giorgi oscillation reduction: one half-level set is small).

[F2]

Local boundedness for a nonnegative subsolution: for every nonnegative weak subsolution w of L0w=0 and every ball BR(x)⋐Ω, 0<ρ<1 and p>0, ess sup⁡BρR(x)w≤C(n,θ,Ma,ρ,p)(1∣BR(x)∣∫BR(x)wp)1/p (De Giorgi local boundedness of homogeneous subsolutions).

[F3]

Extend u∈L2(Ω) by zero off Ω. The extension lies in L2(Rn) and hence Lloc1(Rn) by Holder on bounded sets. The cited Lebesgue-point theorem applies to this extension; restriction back to Ω gives a full-measure Lebesgue set, dense because every nonempty open subset has positive measure (Almost every point is a Lebesgue point of a locally integrable function, Lebesgue points and the Lebesgue set of an Lloc1 class, The average of a locally integrable function over a Euclidean ball).

[F4]

The target R is complete by The reals are complete. Apply the dense-set extension theorem on each smaller ball, where the local Holder bound gives uniform continuity; the extensions agree on overlaps because they agree on the dense Lebesgue set. This gives a unique continuous extension on the ambient open set and passes the local Holder bounds to it (A uniformly continuous map from a dense subspace into a complete metric space extends uniquely to a uniformly continuous map on the whole space, Complete metric space: every Cauchy sequence converges in the space).

[F5]

For continuous functions, pointwise supremum and infimum on an open ball equal the essential supremum and infimum of the corresponding almost-everywhere class; the Holder seminorm and norm are those of Local Hölder and scaled C-two-alpha norms on balls and Hölder spaces Ck,α, closure and interior scaled norms, and Ck,α domains (The essential supremum of a measurable function with respect to a measure).

[F6]

Positive parts of a real weak solution of the homogeneous equation are weak subsolutions. For v=u or v=−u, the zero-source identity extends from Cc∞ tests to H01 by density and boundedness of the form (Zero-boundary Sobolev space as a norm closure, The elliptic form is well defined and bounded on H1). Thus test with the nonnegative H01 function ϕχϵ(v), where ϕ∈Cc∞(Ω) is nonnegative and χϵ(t)=min⁡{1,t+/ϵ}. The chain and product rules give a0(v,ϕχϵ(v))=∫χϵ(v)ADv⋅Dϕ+∫ϕχϵ′(v)ADv⋅Dv=0; the second term is nonnegative. Dominated convergence in the first term as ϵ↓0 gives a0(v+,ϕ)≤0 (Chain rule for globally Lipschitz scalar maps of Sobolev functions, Weak Leibniz rule with a smooth factor, Positive-part truncation calculus and admissible cut-off weak tests).

Proof

technique · iterate the one-step oscillation reduction on smaller interior balls, transfer its dyadic decay to Lebesgue values, extend those values continuously, and use local boundedness of the positive and negative parts for the quantitative norm estimate
1.1givenF2F6

Local boundedness of the positive and negative parts. For v=u and v=−u, [F6] shows that v+ is a nonnegative weak subsolution. Given any ball BS(x)⋐Ω, choose S′>S with BS′(x)⋐Ω and apply [F2] on BS′(x) with inner ratio S/S′ and exponent p=2. Since v+∈H1(Ω), its L2(BS′) mean is finite, so both u+ and (−u)+ are essentially bounded on BS(x). Consequently u has finite essential oscillation on every compactly contained ball.

2.1step 1.1F1algebra

Geometric oscillation decay. Fix BR(x0)⋐Ω. By [F1], applying the one-step estimate first with outer ball BR/2 and then with successive dyadic outer balls gives ess osc⁡BR/2k+1(x0)u≤ηkess osc⁡BR(x0)u for every integer k≥0. By monotonicity of essential oscillation, if 0<r≤R/4, choosing k so that R/2k+2<r≤R/2k+1 gives ess osc⁡Br(x0)u≤C0(r/R)α0ess osc⁡BR(x0)u,α0:=log⁡(1/η)log⁡2>0, with C0=4α0; for R/4<r≤R the same inequality follows from monotonicity and this choice of C0. This argument applies to any ball compactly contained in Ω, and all oscillations are finite by step 1.1.

3.1step 2.1F3algebra

Holder modulus at Lebesgue points. Fix 0<ρ<1 and x,y∈BρR(x0) that are Lebesgue points of u. Put m:=(1−ρ)R/2 and d:=∣x−y∣. If 0<d<m/4, then B2d(x)⊂B2m(x)⋐BR(x0). The decay of step 2.1 applied to B2m(x) gives ess osc⁡B2d(x)u≤C0(d/m)α0ess osc⁡BR(x0)u. For sufficiently small s>0, both Bs(x) and Bs(y) lie in B2d(x); their averages lie between its essential infimum and supremum. Passing to the Lebesgue limits gives ∣u∗(x)−u∗(y)∣≤ess osc⁡B2d(x)u. If instead d≥m/4, the bound ∣u∗(x)−u∗(y)∣≤ess osc⁡BR(x0)u suffices. In either case, ∣u∗(x)−u∗(y)∣≤Cρ(d/R)α0ess osc⁡BR(x0)u, where Cρ depends only on η,ρ.

4.1step 3.1F3F4

The continuous representative. The Lebesgue set of u is dense by [F3]. Step 3.1 makes the Lebesgue representative locally Holder on its intersection with each smaller ball BρR(x0). The extension theorem [F4] gives a unique continuous extension on Ω, still denoted u∗, which agrees with u a.e. and retains these local Holder bounds.

5.1step 3.1step 4.1F2F5algebra

Holder and supremum estimates. Let R:=R0 and apply step 3.1 on the outer ball B3R/4(x0) with inner ratio 2/3. Applying [F2] with p=2 and outer ball BR to the positive parts u+ and (−u)+ from step 1.1 gives ess sup⁡B3R/4∣u∣≤C(1∣BR∣∫BRu2)1/2. Hence ess osc⁡B3R/4u≤2C(1∣BR∣∫BRu2)1/2. Steps 3.1 and 4.1 give the corresponding increment bound with exponent α0. Set α:=min⁡{α0,1/2}∈(0,1); weakening the exponent to α preserves the estimate. For 0<α′<α, interpolate that Holder increment with the supremum bound: min⁡{CM(∣x−y∣/R)α,2M}≤C′(α′)M(∣x−y∣/R)α′, where M=(1∣BR∣∫BRu2)1/2. Thus [u∗]0,α′;BR/2≤CR−α′(1∣BR∣∫BRu2)1/2,∥u∗∥L∞(BR/2)≤CR−n/2∥u∥L2(BR). The constants depend only on n,θ,Ma,α′.

6.1F3F4∎

Uniqueness. If two continuous representatives agree with u a.e., they agree on a full-measure, hence dense, subset of Ω; continuity makes them equal everywhere. All arguments use only the declared choice principles.

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Geometric oscillation decay implies a Hölder modulus

Statement

Let n≥1, let Ω⊆Rn be open, let u:Ω→R and let θ∈(0,1) satisfy osc⁡Br(x)u≤θ osc⁡B2r(x)uwhenever B2r(x)⋐Ω, where osc⁡Bu:=sup⁡Bu−inf⁡Bu, and assume osc⁡BR(x0)u<∞ for every BR(x0)⋐Ω. Put α0:=log⁡(1/θ)log⁡2>0 and α:=min⁡{α0,1/2}∈(0,1). Then for every ball BR(x0)⋐Ω and all x,y∈BR/2(x0), ∣u(x)−u(y)∣≤4α(∣x−y∣R)αosc⁡BR(x0)u, so u is locally α-Hölder in Ω (Local Hölder and scaled C-two-alpha norms on balls) with [u]0,α;BR/2(x0)≤4αR−αosc⁡BR(x0)u; moreover for every 0<α′<α the same estimate holds with α′ and constant 4α′.

Facts & Assumptions

Given: an integer n≥1, an open set Ω⊆Rn, a function u:Ω→R with finite oscillation on every compactly contained ball, a number θ∈(0,1) with osc⁡Br(x)u≤θosc⁡B2r(x)u whenever B2r(x)⋐Ω, and α0=log⁡(1/θ)/log⁡2, α=min⁡{α0,1/2}.

[F1]

For every x and r>0, osc⁡Br(x)u=sup⁡Br(x)u−inf⁡Br(x)u∈[0,+∞], and if A⊆B⊆Ω then osc⁡Au≤osc⁡Bu, because a supremum over a smaller set is no larger and an infimum over a smaller set is no smaller.

[F2]

Since 2α0=1/θ and θ=2−α0 by the definition of the real power, for 0<a≤1 the map β↦aβ is nonincreasing, and for a,b>0 and real β one has (ab)β=aβbβ (Real powers for positive bases, with the zero-base positive-exponent convention).

[F3]

For a ball BR(x0), the seminorm [u]0,α;BR(x0) is the supremum of ∣u(x)−u(y)∣/∣x−y∣α over all x,y∈BR(x0) with x≠y (Local Hölder and scaled C-two-alpha norms on balls).

Proof

technique · direct dyadic iteration of the oscillation hypothesis
1.1givenF1

Fix a ball BR(x0)⋐Ω. The claim is immediate when x=y, so assume x≠y and put d:=∣x−y∣>0 and z:=(x+y)/2. Since x,y∈BR/2(x0), the midpoint satisfies z∈BR/2(x0) and d<R. The oscillation of u on BR(x0) is finite by hypothesis. If d≥R/2, then ∣u(x)−u(y)∣≤osc⁡BR(x0)u≤4α(d/R)αosc⁡BR(x0)u, so assume henceforth d<R/2.

1.2givenF1algebra

Let k≥0 be the largest integer with 2k+1d≤R; it exists because d<R/2, and the set of admissible exponents is bounded above. For every 0≤j≤k one has B2jd(z)⋐BR(x0): the midpoint z is within R/2 of x0, while 2jd≤R/2. Consequently the given oscillation hypothesis applies to the pair of radii 2j−1d and 2jd for every 1≤j≤k.

2.1step 1.2F1

Iterating the hypothesis, osc⁡Bd(z)u≤θkosc⁡B2kd(z)u. Indeed the case k=0 is an equality, and if the claim holds for k−1 then it holds for k by appending the one step osc⁡B2k−1d(z)u≤θosc⁡B2kd(z)u supplied by step 1.2. Since B2kd(z)⊆BR(x0), monotonicity of the oscillation gives osc⁡Bd(z)u≤θkosc⁡BR(x0)u.

2.2step 1.2F2algebra

By maximality of k, 2k+2d>R, so 2−k<4d/R. Since 2−k≤1 and α≤α0, [F2] gives θk=(2−k)α0≤(2−k)α<(4d/R)α=4α(d/R)α.

3.1step 2.1step 2.2F1F3

Since x,y∈Bd(z), combining steps 2.1 and 2.2 gives ∣u(x)−u(y)∣≤osc⁡Bd(z)u≤4α(d/R)αosc⁡BR(x0)u, which is the displayed inequality because d=∣x−y∣. Dividing by ∣x−y∣α and taking the supremum over x≠y in BR/2(x0) yields [u]0,α;BR/2(x0)≤4αR−αosc⁡BR(x0)u by [F3]; since every point of Ω has a ball BR(x0)⋐Ω about it and R/2 is available, u is locally α-Hölder on Ω.

4.1step 2.1step 2.2F2given∎

For the exponent clause, fix 0<α′<α. If d<R/4, then 4d/R<1, and α′<α≤α0 gives θk=(2−k)α0≤(2−k)α′<(4d/R)α′. If d≥R/4, then ∣u(x)−u(y)∣≤osc⁡BR(x0)u≤4α′(d/R)α′osc⁡BR(x0)u. Combining these cases proves the claimed α′ estimate with constant 4α′; no choice principle is used.

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Logarithmic Caccioppoli estimate for positive supersolutions

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥2, let Ω⊆Rn be open, let A and L0 be as in De Giorgi local boundedness of homogeneous subsolutions, and let u∈H1(Ω;R) satisfy u>0 a.e. on Ω and a0(u,v)≥0for every v∈H01(Ω), v≥0 a.e., i.e. u is a positive weak supersolution of L0u=0 (Weak subsolutions and supersolutions of a divergence-form equation). Then for every η∈Cc∞(Ω) and every ε>0, ∫Ωη2 ∣Dlog⁡(u+ε)∣2dx≤4Ma2θ∫Ω∣Dη∣2dx, and consequently, for concentric balls Br(x0)⋐BR(x0)⋐Ω, ∫Br(x0)∣Du∣2u2dx≤C(n,θ,Ma)∣BR(x0)∣(R−r)2, the second inequality being the monotone limit ε↓0 of the first. No lower bound on u is assumed away from its positivity.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; an open Ω⊆Rn, n≥2; a measurable symmetric coefficient field A with θ∣ξ∣2≤⟨Aξ,ξ⟩≤Ma2∣ξ∣2 a.e.; a class u∈H1(Ω;R) with u>0 a.e. and a0(u,v)≥0 for every nonnegative v∈H01(Ω); η∈Cc∞(Ω); ε>0.

[F1]

Assume Countable Choice. The scalar map Fε(t):=(max⁡{t,0}+ε)−1 is globally Lipschitz. Its composition with u lies in Hloc1(Ω) and, since u>0 a.e., equals (u+ε)−1 with derivative D((u+ε)−1)=−(u+ε)−2Du (Chain rule for globally Lipschitz scalar maps of Sobolev functions, Integer-order Sobolev spaces and their norms).

[F2]

Assume Countable Choice. Products with smooth compactly supported cutoffs: η2wε∈H01(Ω) with D(η2wε)=2ηwεDη+η2Dwε, because ηwε is compactly supported and lies in H01 (Weak Leibniz rule with a smooth factor, Positive-part truncation calculus and admissible cut-off weak tests).

[F3]

Matrix Cauchy-Schwarz and Young: for the positive definite field A, ∣aijξjζi∣≤(aijξjξi)1/2(aijζiζj)1/2≤Ma∣ζ∣(aijξjξi)1/2; and 2MaXY≤12θX2+2Ma2θY2 for X,Y≥0, θ>0 (Young's inequality for conjugate real exponents, Holder's inequality for integrals, including the endpoint cases).

[F4]

Bumps: for 0<r<R there is η∈Cc∞(BR(x0)) with η=1 on Br(x0) and ∣Dη∣≤CU/(R−r) for a universal CU; the explicit radial construction gives this bound (A smooth bump between concentric Euclidean balls, Compactly supported scaled Euclidean bumps).

Proof

technique · direct; insert the regularised reciprocal test function, expand, and absorb the cross term by Young's inequality with the ellipticity constant
1.1givenF1F2

The test function and the supersolution inequality. By [F1] and [F2], vε:=η2(u+ε)−1 is a nonnegative element of H01(Ω) with Divε=2η(u+ε)−1Diη−η2(u+ε)−2Diu. Testing the supersolution inequality with vε gives 0≤a0(u,vε)=2∫Ωη(u+ε)−1aijDjuDiη dx−∫Ωη2(u+ε)−2aijDjuDiu dx. Taking absolute values in the cross term yields ∫Ωη2(u+ε)−2aijDjuDiu dx≤2∫Ω∣η∣(u+ε)−1∣aijDjuDiη∣ dx, which is valid even when the allowed cutoff η changes sign.

2.1step 1.1F3algebra

Ellipticity and absorption. Write C:=(∫Ωη2(u+ε)−2aijDjuDiu dx)1/2 and B:=(∫Ω∣Dη∣2dx)1/2. By step 1.1 and [F3], C2≤2MaBC, so C≤2MaB if C>0 (and the same bound is trivial otherwise). Since also θ∫Ωη2∣Dlog⁡(u+ε)∣2dx=θ∫Ωη2(u+ε)−2∣Du∣2dx≤C2, we obtain ∫Ωη2∣Dlog⁡(u+ε)∣2dx≤4Ma2θ∫Ω∣Dη∣2dx, the first displayed estimate.

3.1step 2.1F4algebra∎

The ball form. Let 0<r<R with BR(x0)⋐Ω and choose the bump η of [F4]; then ∫Ωη2∣Dlog⁡(u+ε)∣2 dx≥∫Br(x0)∣Du∣2(u+ε)−2dx and ∫Ω∣Dη∣2dx≤CU2∣BR(x0)∣(R−r)−2, so ∫Br(x0)∣Du∣2(u+ε)−2dx≤4CU2Ma2θ−1∣BR(x0)∣(R−r)−2. Since (u+ε)−2↑u−2 as ε↓0, the monotone convergence theorem applied to the nonnegative integrands ∣Du∣2(u+ε)−2 yields ∫Br(x0)∣Du∣2u−2dx≤C(n,θ,Ma)∣BR(x0)∣(R−r)−2 with C(n,θ,Ma):=4CU2Ma2/θ; no lower bound on u is used beyond positivity, and only the declared choice principles are used.

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Moser iteration for positive supersolutions: negative-power and logarithmic comparison

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥2, let Ω⊆Rn be open, let A and L0 be as in De Giorgi local boundedness of homogeneous subsolutions, and let u∈H1(Ω;R) with u>0 a.e. be a positive weak supersolution of L0u=0. Then the negative-power chain of the Moser iteration holds: for every 0<ρ<1, every p>0 and every ball BR(x0)⋐Ω, (1∣BR(x0)∣∫BR(x0)u−pdx)−1/p≤C(n,θ,Ma,ρ,p) ess inf⁡BρR(x0)u. Moreover there is an exponent p0=p0(n,θ,Ma)>0 such that, for every BR(x0)⋐Ω, (1∣B3R/4(x0)∣∫B3R/4(x0)up0dx)1/p0≤C(n,θ,Ma)(1∣B3R/4(x0)∣∫B3R/4(x0)u−p0dx)−1/p0. The proof does not assume that u is bounded away from zero: the negative-power tests and positive moments are handled after regularisation u↦u+ε; monotone convergence passes the increasing negative moments, while dominated convergence passes the decreasing positive moments. The logarithmic estimate Logarithmic Caccioppoli estimate for positive supersolutions supplies the input for the comparison of opposite powers.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; an open set Ω⊆Rn, n≥2; measurable symmetric coefficients A with θ∣ξ∣2≤⟨A(x)ξ,ξ⟩≤Ma2∣ξ∣2; the principal operator L0u=−Di(aijDju) and its form a0; a class u∈H1(Ω;R) with u>0 a.e. and a0(u,v)≥0 for every nonnegative v∈H01(Ω); a ball BR(x0)⋐Ω and 0<ρ<1.

[F1]

Assume the Axiom of Choice. Composition, products and density: a globally Lipschitz scalar composition of an H1 class obeys the Sobolev chain rule; a compactly supported smooth factor obeys the weak product rule; and a compactly supported H1 class lies in H01 by zero extension and smooth approximation. Thus the bounded truncation of Uβ and its cutoff test in step 1.1 are admissible (Chain rule for globally Lipschitz scalar maps of Sobolev functions, Weak Leibniz rule with a smooth factor, Compactly supported Sobolev functions extend by zero in every integer order, Compactly supported smooth functions are dense in W^{k,p}(R^n), Zero-boundary Sobolev space as a norm closure, Weak subsolutions and supersolutions of a divergence-form equation, Integer-order Sobolev spaces and their norms).

[F2]

Assume the Axiom of Choice. Ellipticity and boundedness of the coefficients: θ∣ξ∣2≤aijξiξj≤Ma2∣ξ∣2 for a.e. point and every ξ (Uniformly elliptic divergence-form operators and their sesquilinear forms, The elliptic form is well defined and bounded on H1).

[F3]

Assume the Axiom of Choice. Sobolev input: there is κ>1, namely κ=n/(n−2) for n≥3 and any fixed finite κ>1 for n=2, and a constant S with ∥w∥L2κ(B1)≤S∥Dw∥L2(B1) for every w∈H01(B1) (The Sobolev inequality for zero-boundary Sobolev closures on open sets, The critical Sobolev embedding into every finite Lq). In dimension two the gradient-only form follows directly from the zero-boundary supplier: set r=2κ/(κ+1)∈(1,2), so r∗=2κ. The same smooth approximants and finite measure put w in W01,r(B1), and Holder gives ∥w∥2κ≤C(2,r)∥Dw∥r≤C(2,r)∣B1∣1/(2κ)∥Dw∥2.

[F4]

Assume the Axiom of Choice. If g∈L∞(Bρ) on a finite-measure ball, then ∥g∥Lq(Bρ)→ess sup⁡Bρ∣g∣ as q→∞ (Lp norms converge to the essential supremum for essentially bounded Lr functions, The space Lp(μ) as the quotient by null functions, The essential supremum of a measurable function with respect to a measure).

[F5]

Assume the Axiom of Choice. Logarithmic Caccioppoli estimate: for every η∈Cc∞(Ω) and every ε>0, ∫Ωη2∣Dlog⁡(u+ε)∣2dx≤4Ma2θ∫Ω∣Dη∣2dx (Logarithmic Caccioppoli estimate for positive supersolutions).

[F6]

Assume the Axiom of Choice. Poincare-Wirtinger inequality on balls, and the existence of smooth bumps between concentric balls with ∣Dη∣≤C/(s−r) (Poincare inequality on a ball, A smooth bump between concentric Euclidean balls).

[F7]

Assume the Axiom of Choice. Monotone and dominated convergence for the integral, used to pass to the limit ε↓0 in the regularised estimates (Monotone convergence for the integral, Dominated convergence, The essential supremum of a measurable function with respect to a measure, The average of a locally integrable function over a Euclidean ball).

[F8]

Dyadic differentiation and layer cake: for a locally integrable function, averages over shrinking dyadic subcubes containing x converge to its Lebesgue value at almost every x. To use the whole-space supplier on a fixed covering cube, first zero-extend its integrable restriction. At a Lebesgue point x, enclose each containing cube of side s in Bns(x); the volume ratio is fixed, so the cube average of ∣g−g(x)∣ tends to zero by Almost every point is a Lebesgue point of a locally integrable function. For j>0, ∫∣g∣j=j∫0∞tj−1∣{∣g∣>t}∣ dt, with extended nonnegative values (Lebesgue differentiation theorem on Rn, For 0 < p < infinity, the layer-cake formula computes the integral of |f|^p from the distribution function).

Proof

Here avg⁡g denotes the normalized integral of g over the ball in the surrounding estimate.

Proof technique: direct; regularise by u+ε, test with bounded truncations of negative powers to derive a positive-power Sobolev iteration for 1/(u+ε), and use the scale-invariant logarithmic Caccioppoli estimate to obtain local mean oscillation, a dyadic stopping estimate and exponential integrability of the logarithm.

1.1givenF1F2F6algebra

Scaling, bounded truncation, density and the energy estimate. Under y=(x−x0)/R, the principal divergence form and the weak supersolution inequality retain the same ellipticity bounds, while ball averages are invariant; it is enough to work on B1. Fix ε>0, put U=u+ε, and for p>0 choose β=−p−1<−1. Then U≥ε, so Uβ and its weak gradient are bounded by constants (depending on p,ε) times 1 and ∣Du∣, respectively. More explicitly, for N>εβ the globally Lipschitz bounded truncation Pε,N(t):=min⁡{(max⁡{t,0}+ε)β,N} satisfies Pε,N(u)=Uβ a.e. The cutoff product η2Pε,N(u) lies in H01(B1) by the chain and product rules and compact-support zero extension; approximate it in H01 by nonnegative smooth tests and use continuity of the form to pass the supersolution inequality to this test. Testing with η2Uβ gives (p+1)∫B1η2U−p−2⟨ADU,DU⟩ dx≤2∫B1∣η∣U−p−1∣⟨ADU,Dη⟩∣ dx. By Cauchy--Schwarz in the A-energy, ∣⟨ADU,Dη⟩∣≤⟨ADU,DU⟩1/2⟨ADη,Dη⟩1/2≤Ma∣Dη∣⟨ADU,DU⟩1/2. Absorbing the resulting energy square root yields ∫B1η2U−p−2⟨ADU,DU⟩ dx≤4Ma2(p+1)2∫B1U−p∣Dη∣2 dx. Ellipticity and D(U−p/2)=−(p/2)U−p/2−1DU then give ∫η2∣D(U−p/2)∣2≤Ma2p2(p+1)2θ∫U−p∣Dη∣2≤Ma2θ∫U−p∣Dη∣2.

1.2givenF5F6algebra

Local logarithmic oscillation. Put w=log⁡U and ℓ=1∣B7/8∣∫B7/8w. The logarithmic Caccioppoli estimate [F5], with a smooth cutoff supported in B1 and equal to one on B7/8, gives ∫B7/8∣Dw∣2 dx≤C(n,θ,Ma); Poincare [F6] therefore gives ∥w−ℓ∥L2(B7/8)≤C. Cover B3/4 by finitely many axis-parallel cubes Q0 of a fixed side sn>0 so small that their closures lie in B13/16 and every concentric ball below lies in B1. For each dyadic subcube Q of side s, let B be the concentric ball of radius ns, which contains Q. The logarithmic estimate with a smooth cutoff equal to one on B and supported in the concentric ball of radius 2ns gives ∫B∣Dw∣2≤Csn−2. The ball Poincare inequality [F6] on B, together with ∣B∣/∣Q∣=∣Bn∣, then yields 1∣Q∣∫Q∣w−wQ∣≤K, with K=K(n,θ,Ma)≥1 independent of Q, ε and Q0.

2.1step 1.1F3F4F6algebra

The reverse-exponent iteration. Let κ=n/(n−2) for n≥3 and fix κ=2 for n=2, so the L2κ Sobolev inequality is available in both cases by [F3]. Combining step 1.1 with the product rule and a cutoff equal to one on Br and supported in Bs, 0<r<s≤1, yields ∥U−1∥Lpκ(Br)≤(Cs−r)2/p∥U−1∥Lp(Bs),C=C(n,θ,Ma). For pj=pκj and rj=ρ+(1−ρ)2−j, apply this with (pj,rj+1,rj) and multiply. The logarithm of the product is bounded by a constant multiple of ∑j≥0(1+j)κ−j<∞, so ess sup⁡BρU−1≤C1∥U−1∥Lp(B1),C1=C1(n,θ,Ma,p,ρ). Taking reciprocals and inserting the volume factor gives (1∣B1∣∫B1U−p dx)−1/p≤C2ess inf⁡BρU. This is a positive-exponent iteration for U−1; in particular the reverse-exponent range is pj=pκj>0, with arbitrary starting p>0.

2.2step 1.1step 1.2F1F4F6F7F8algebra

Bounded truncations, stopping cubes and factorial moments. For each M>0 set XM:=min⁡{∣w−ℓ∣,M}. It is a bounded H1 truncation by the Lipschitz chain rule; its mean oscillation on every dyadic subcube of a covering cube Q0 is at most 2K. By [F8], dyadic averages differentiate XM almost everywhere, so the stopping cubes cover the relevant superlevel set up to a null set. For g=XM and every dyadic cube Q, avg⁡Q∣g−gQ∣≤2K: compare first with the constant min⁡{∣wQ−ℓ∣,M} using the 1-Lipschitz scalar map, then with gQ. Set A=2n+3K. In each cube Q select the maximal proper dyadic subcubes P with avg⁡P∣g−gQ∣>A. They are disjoint and their total measure is at most q∣Q∣, where q=2K/A=2−(n+2). Their immediate parents are not bad, so ∣gP−gQ∣≤avg⁡P∣g−gQ∣≤2nA. Outside their union, dyadic differentiation gives ∣g−gQ∣≤A a.e. Repeat the same selection inside each selected cube, recentering at its own mean; its mean oscillation is still at most 2K. The generation-m union has measure at most qm∣Q0∣, while outside it the accumulated mean differences and final good-set bound give ∣g−gQ0∣≤m2nA for m≥1. Consequently there are dimensional constants Cn,cn>0 such that ∣{x∈Q0:∣XM−(XM)Q0∣>t}∣∣Q0∣≤Cne−cnt/K. The layer-cake formula [F8] then yields 1∣Q0∣∫Q0∣XM−(XM)Q0∣j≤Cnj!(K/cn)j for every integer j≥1. The factorial cancels the denominator in the exponential series: its jth averaged term is at most Cn(p0K/cn)j. Choose p0:=min⁡{1,cn/(2K)}>0. The geometric bound and monotone convergence of the nonnegative series give 1∣Q0∣∫Q0ep0∣XM−(XM)Q0∣ dx≤Cn′. By step 1.2 and the fixed cube size, (XM)Q0≤1∣Q0∣∫Q0∣w−ℓ∣≤C uniformly in M, hence 1∣Q0∣∫Q0ep0XM dx≤ep0CCn′. Since XM↑∣w−ℓ∣, monotone convergence gives 1∣Q0∣∫Q0ep0∣w−ℓ∣ dx≤C3. Summing over the finite cover and normalizing yields 1∣B3/4∣∫B3/4ep0∣w−ℓ∣ dx≤C4, uniformly in ε. The bounded negative-power test in step 1.1 was placed in H01 by compact-support smooth density; here the bounded logarithm truncations ensure every oscillation estimate is finite before the monotone limit.

3.1step 1.1step 2.1step 2.2F7algebra∎

The product constant and the limit ε↓0. Since e±p0(w−ℓ)≤ep0∣w−ℓ∣, step 2.2 gives (1∣B3/4∣∫B3/4Up0 dx)(1∣B3/4∣∫B3/4U−p0 dx)≤C42, hence the second assertion with comparison constant C42/p0. For the fixed exponent p0, U−p0↑u−p0 and Up0↓up0 as ε↓0; dominated convergence for the positive moment (using (u+1)p0≤u+1 since p0≤1 on this bounded ball) and monotone convergence for the negative moment pass the product bound. Since u>0 a.e., the limiting positive moment is strictly positive, so the product bound also shows that this particular negative moment is finite. For an arbitrary exponent p>0 in the first assertion, monotone convergence passes avg⁡U−p with its extended value; interpret (+∞)−1/p=0, so the reciprocal negative-moment inequality remains valid without asserting finiteness. The same scaling as in step 1.1 restores arbitrary R,x0; all constants depend only on the listed parameters, and no positive lower bound for u is assumed.

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Weak Harnack inequality for nonnegative supersolutions

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥2, let Ω⊆Rn be open, let A and L0 be as in De Giorgi local boundedness of homogeneous subsolutions, and let F∈Llocq(Ω) with q>n/2. Let u∈H1(Ω;R) satisfy u≥0 a.e. and a0(u,φ)≥−∫ΩF φ dxfor every nonnegative φ∈Cc∞(Ω;R), i.e. u is a nonnegative weak supersolution of L0u=−F. Then for every ball BR(x0) with B2R(x0)⋐Ω and every 0<p<n/(n−2), R−n/p∥u∥Lp(BR(x0))≤C(ess inf⁡BR/2(x0)u+R 2−n/q∥F∥Lq(B2R(x0))), with C=C(n,q,θ,Ma,p) independent of R and x0. For n=2 every finite p is allowed, with the critical Sobolev embedding in place of the 2∗ embedding. The forcing term enters additively and cannot be dropped: the exponent range 0<p<n/(n−2) and the threshold q>n/2 are the ones the iteration actually produces.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; an open set Ω⊆Rn, n≥2; measurable symmetric uniformly elliptic coefficients A with constants θ,Ma; the principal operator L0u=−Di(aijDju) with form a0; a source F∈Llocq(Ω), q>n/2; a nonnegative u∈H1(Ω;R) with a0(u,φ)≥−∫ΩFφ dx for all nonnegative φ∈Cc∞(Ω;R); a ball BR(x0) with B2R(x0)⋐Ω and 0<p<n/(n−2) when n≥3, or any finite p>0 when n=2.

[F1]

Assume the Axiom of Choice. Moser chains for positive supersolutions: if w∈H1(BS;R) satisfies w>0 a.e. and a0(w,v)≥0 for every nonnegative v∈H01(BS), then for every 0<ρ<1 and every p>0, (1∣BS∣∫BSw−pdx)−1/p≤C1ess inf⁡BρSw, and for some p0=p0(n,θ,Ma)>0 one has (1∣B3S/4∣∫B3S/4wp0dx)1/p0≤C1(1∣B3S/4∣∫B3S/4w−p0dx)−1/p0; the constants depend only on their listed arguments (Moser iteration for positive supersolutions: negative-power and logarithmic comparison, The average of a locally integrable function over a Euclidean ball).

[F2]

Assume the Axiom of Choice. Logarithmic estimate: for every positive supersolution w as in [F1] on a ball, every η∈Cc∞ and every ε>0, ∫η2∣Dlog⁡(w+ε)∣2dx≤4Ma2θ∫∣Dη∣2dx (Logarithmic Caccioppoli estimate for positive supersolutions).

[F3]

Assume the Axiom of Choice. On the reference ball B2, the weak maximum principle for a zero-trace solution of L0h=g gives h≥0 when g≥0 and ess sup⁡B2h≤C∥g+∥Lq(B2) for q>n/2 (and q>1 in dimension two). The constant is fixed for this ball, and the estimate applies after scaling B2R to B2 (Weak maximum principle for coercive divergence-form equations, The Lp trace operator on a bounded C1 domain, The kernel of the trace is the closure of the test functions, Bounded C^k domains and boundary charts).

[F4]

Assume the Axiom of Choice. Lax-Milgram and coercivity on H01(B2): H1(B2) is Hilbert by Hk is a Hilbert space under the derivative-sum inner product. The closure definition makes H01(B2) a closed linear subspace; a Cauchy sequence converges in H1(B2) and its limit remains in that closure, so the inherited inner product makes it Hilbert. The form a0 is a bounded coercive form there, and every bounded conjugate-linear functional on H01(B2) is represented by a unique weak Dirichlet solution (The Lax--Milgram theorem, Coercivity of the principal Dirichlet form, The elliptic form is well defined and bounded on H1, The negative Sobolev space H−1(Ω), Weak Dirichlet solutions for a divergence-form operator, Zero-boundary Sobolev space as a norm closure, The Poincare inequality for zero-boundary Sobolev closures on domains bounded in one direction).

[F5]

Assume the Axiom of Choice. Embedding and Holder input: for n≥3 and 1≤r<2∗ there is Cr with ∥v∥Lr(B1)≤Cr∥v∥H01(B1); in dimension two the same holds for every finite r. By dilation this makes φ↦∫B2F+φ bounded on H01(B2) when q>n/2 (and q>1 for n=2), since the conjugate exponent q′ lies in the available Sobolev range. Also, if z∈H1(B2), multiplying by a smooth cutoff supported in B2 and equal to one on B3/2 gives z∈Lr(B3/2) for every 1≤r<2∗ when n≥3 and every finite r when n=2. The Sobolev norms scale as ∥v∥Lr(BR)≤CrR1+n/r−n/2∥Dv∥L2(BR) for v∈H01(BR), with the corresponding inhomogeneous local estimate after cutoff; Holder's inequality gives ∥g∥Lr(E)≤∣E∣1/r−1/s∥g∥Ls(E) for 1≤r<s≤∞ (The Sobolev inequality for zero-boundary Sobolev closures on open sets, The critical Sobolev embedding into every finite Lq, Holder's inequality for integrals, including the endpoint cases, The space Lp(μ) as the quotient by null functions).

[F6]

Assume the Axiom of Choice. For U=u+ε≥ε>0 and 0<s<1, both scalar maps t↦(max⁡{t,0}+ε)s−1 and t↦(max⁡{t,0}+ε)s/2 are globally Lipschitz. Their compositions with u lie in Hloc1; the first, multiplied by a compactly supported smooth cutoff squared, gives an H01 test by the product rule, zero extension and smooth density. The second gives V=Us/2∈Hloc1 with DV=(s/2)Us/2−1Du (Chain rule for globally Lipschitz scalar maps of Sobolev functions, Weak Leibniz rule with a smooth factor, Compactly supported Sobolev functions extend by zero in every integer order, Compactly supported smooth functions are dense in W^{k,p}(R^n), Zero-boundary Sobolev space as a norm closure, Integer-order Sobolev spaces and their norms).

[F7]

Assume the Axiom of Choice. Dominated convergence passes integrals with an integrable majorant (Dominated convergence). Scaling invariance on doubled balls: with v(y):=u(x0+Ry) and G(y):=R2F(x0+Ry), the weak supersolution inequality scales to B2, ∥G∥Lq(B2)=R2−n/q∥F∥Lq(B2R(x0)), and R−n/p∥u∥Lp(BR(x0))=∣B1∣1/p(1∣B1∣∫B1∣v∣p)1/p (Uniformly elliptic divergence-form operators and their sesquilinear forms, The average of a locally integrable function over a Euclidean ball, The Poincare inequality for zero-boundary Sobolev closures on domains bounded in one direction).

Proof

technique · direct; scale the doubled ball to $B_2$, add a Lax-Milgram barrier there to make the solution a homogeneous supersolution on the full region required by Moser's comparison, derive the positive-integrability transitions using only negative-power tests with exponent $s-1<0$, then undo the scaling
1.1givenF3F4F5F7

Removing the source by a barrier on the doubled ball. After the rescaling of [F7] it suffices to treat R=1, B2(x0)⋐Ω, and source norm ∥F∥Lq(B2). Since F∈Lq(B2) and q>n/2, the local supersolution inequality extends by density from nonnegative smooth tests to all nonnegative H01(B2) tests: the embedding in [F5] puts H01(B2) in Lq′(B2). The functional φ↦∫B2F+φ dx is therefore bounded on H01(B2), so [F4] gives a unique h∈H01(B2) with a0(h,φ)=∫B2F+φ dx for all φ∈H01(B2). Since F+≥0, [F3] gives h≥0; its radius-two estimate gives ess sup⁡B2h≤C∥F+∥Lq(B2)≤C∥F∥Lq(B2), where the fixed scaling factor 22−n/q is absorbed into C. With w:=u+h one has w≥0 and a0(w,φ)≥−∫B2Fφ+∫B2F+φ≥0 for every nonnegative φ∈H01(B2), so w is a nonnegative homogeneous weak supersolution on the full doubled ball. Also ∥u∥Lp(B1)≤∥w∥Lp(B1) and ess inf⁡B1/2w≤ess inf⁡B1/2u+ess sup⁡B2h.

1.2F1F2F5algebra

The seed exponent on a compactly contained ball. Let w≥0 be a homogeneous weak supersolution on B2 and set U:=w+ε. The outer ball B7/4 is compactly contained in B2, so the comparison clause of [F1], supplied by the logarithmic estimate [F2], gives (1∣B21/16∣∫B21/16Up0)1/p0≤C1(1∣B21/16∣∫B21/16U−p0)−1/p0 for some p0=p0(n,θ,Ma)>0. Apply the negative-power chain of [F1] with outer ball B21/16⋐B2 and ratio ρ=8/21; it bounds the reciprocal negative moment on B21/16 by C2ess inf⁡B1/2U. Decrease the seed to s0:=min⁡{p0,1/2}<1; Jensen's inequality on the normalized ball mean gives (1∣B21/16∣∫B21/16Us0)1/s0≤C3ess inf⁡B1/2U.

1.3givenF3F5F6algebra

The positive-integrability transition for input exponents below one. Fix 0<s<1 and a cutoff η∈Cc∞(BR) with η=1 on Br, 0<r<R≤2. For U=w+ε, the admissible test η2Us−1 of [F6] and the homogeneous supersolution inequality give (1−s)∫η2Us−2⟨ADw,Dw⟩≤2∫∣η∣Us−1∣⟨ADw,Dη⟩∣. Cauchy--Schwarz in the A-energy bounds the right side by 2Ma(∫η2Us−2⟨ADw,Dw⟩)1/2(∫Us∣Dη∣2)1/2. Absorbing this energy square root and using ellipticity gives ∫η2Us−2∣Dw∣2≤4Ma2(1−s)2θ∫Us∣Dη∣2. With V:=Us/2 this becomes ∫η2∣DV∣2≤Ma2s2(1−s)2θ∫V2∣Dη∣2. Applying Sobolev to ηV and the product rule therefore gives, for n≥3 and every 1<λ≤κ∗:=n/(n−2), or for n=2 and every finite λ>1, ∥U∥Lsλ(Br)≤(C(s,λ,n,θ,Ma)R−r)2/s∥U∥Ls(BR). The truncation and density in [F6] justify the test; no estimate for an untruncated positive power is assumed.

2.1step 1.2step 1.3F5algebra

Reaching every exponent in the claimed range. Work on concentric balls between B21/16 and B1, using equal positive radius gaps for the finitely many transitions below. If 0<p≤s0, Jensen on B1⊂B21/16 and step 1.2 give (1∣B1∣∫B1Up)1/p≤Cess inf⁡B1/2U. For s0<p≤κ∗s0 when n≥3, use step 1.3 once with s=s0 and λ=p/s0≤κ∗. If κ∗s0<p<κ∗, choose an integer m≥1 so large that a:=(p/(κ∗s0))1/m<κ∗. Apply step 1.3 m times with exponent multiplier a, reaching input exponent sm=s0am=p/κ∗<1, then once with multiplier κ∗. Every input exponent is below one, so all tests in step 1.3 are admissible. The constants are finite and depend only on n,θ,Ma,p. In dimension two, for any finite p>s0, a single use of step 1.3 with s=s0 and finite λ=p/s0 suffices. In every case this proves (1∣B1∣∫B1Up)1/p≤Cess inf⁡B1/2U for the stated range.

3.1step 2.1F5F7

Removing regularization in the homogeneous case. Let ε↓0 in step 2.1. The right side tends to Cess inf⁡B1/2w, while Up↓wp and is dominated by (w+1)p, integrable on B3/2 by the cutoff-local Sobolev consequence in [F5] because p<n/(n−2)<2∗ for n≥3 and p is finite for n=2 (for p<1, use (w+1)p≤1+w). Dominated convergence passes the positive-power mean and yields the homogeneous weak Harnack estimate.

4.1step 1.1step 3.1F5F7algebra∎

Conclusion with the source and the radius rescaling. For the barrier supersolution w=u+h of step 1.1, step 3.1 gives ∥w∥Lp(B1)≤Cess inf⁡B1/2w. Since u≤w and ess inf⁡B1/2w≤ess inf⁡B1/2u+ess sup⁡B2h, step 1.1 gives ∥u∥Lp(B1)≤C(ess inf⁡B1/2u+∥F∥Lq(B2)). Scaling back by [F7] gives the estimate with additive term R2−n/q∥F∥Lq(B2R); the doubled-ball hypothesis supplies the full region used in the barrier and in steps 1.2--2.1. The n=2 argument allows every finite p, and all constants are independent of R,x0.

Remarks

  • Radius convention. The quantitative interior form of the weak Harnack inequality controls the mean over BR by the essential infimum over BR/2 and requires the supersolution inequality on the doubled ball B2R, exactly as in Theorem 2 of [K1] and Theorem 2 of [K2]; the statement records this explicitly rather than silently enlarging the class of admissible balls.
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Weak-Harnack exponent range and its dimension-dependent upper endpoint

Statement

The weak Harnack inequality of Weak Harnack inequality for nonnegative supersolutions is asserted only for the sourced range 0<p<n/(n−2) when n≥3 (and for every finite p when n=2). The endpoint n/(n−2) depends only on dimension; the seed exponent p0 and constants depend on the coefficients. Starting from p0, the higher exponents below that endpoint are obtained by the positive-integrability Sobolev transitions in the weak-Harnack proof, while Hölder interpolation supplies smaller exponents. No claim is made here that every positive exponent is admissible; in particular one must not restate the weak Harnack inequality with an arbitrary p>0, and the constant for the source F∈Lq depends on n,q,θ,Ma,p as recorded.

Sources

Krummel, DeGiorgi-Nash lecture notes, Theorem 2 (printed p. 1) states the weak Harnack inequality for 0<p<n/(n−2) when n≥3, and its proof obtains higher exponents from the fixed seed by Sobolev transitions, with Hölder interpolation giving smaller exponents. Simon, Lectures on Partial Differential Equations, Lecture 17, Theorem 2 (printed pp. 199-210) states the same range. The remark records the exact range of the theorem of Weak Harnack inequality for nonnegative supersolutions and carries no proof obligation of its own.

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Harnack inequality for nonnegative weak solutions

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥2, let Ω⊆Rn be open, let A and L0 be as in De Giorgi local boundedness of homogeneous subsolutions, and let F∈Llocq(Ω) with q>n/2. Let u∈H1(Ω;R) satisfy u≥0 a.e. and be a weak solution of L0u=−F, i.e. a0(u,φ)=−∫ΩF φ dxfor every real φ∈Cc∞(Ω). Then for every ball BR(x0) with B2R(x0)⋐Ω, ess sup⁡BR/2(x0)u≤C(ess inf⁡BR/2(x0)u+R 2−n/q∥F∥Lq(B2R(x0))),C=C(n,q,θ,Ma), independent of R and x0; in the homogeneous case F=0 this is ess sup⁡BR/2u≤Cess inf⁡BR/2u, the Harnack inequality. For n=2 every finite q>1 is allowed. The two essential extrema are taken over the same ball, so no regularity of u is needed for the statement; the additive forcing term is essential and the estimate is not claimed without it.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; an open set Ω⊆Rn, n≥2; uniformly elliptic measurable symmetric coefficients A with constants θ,Ma; the principal operator L0u=−Di(aijDju) with form a0; a source F∈Llocq(Ω), q>n/2; a nonnegative u∈H1(Ω;R) with a0(u,φ)=−∫ΩFφ dx for every real φ∈Cc∞(Ω); a ball BR(x0) with B2R(x0)⋐Ω.

[F1]

Both roles of a local solution: the identity a0(u,φ)=−∫ΩFφ against real compactly supported smooth tests gives both the subsolution inequality and the supersolution inequality for the equation L0u=−F, with the appropriate inequality directions (Weak subsolutions and supersolutions of a divergence-form equation, Uniformly elliptic divergence-form operators and their sesquilinear forms).

[F2]

Assume the Axiom of Choice. Local boundedness with a scale-correct source: for every ball BS(y)⋐Ω, every 0<ρ<1 and every p>0, ess sup⁡BρS(y)w≤C1[(1∣BS(y)∣∫BS(y)wp)1/p+S2−n/q∥f+∥Lq(BS(y))] for every nonnegative weak subsolution w of a0(w,⋅)≤∫f ⋅ dx with f∈Llocq(Ω), where C1=C1(n,q,θ,Ma,ρ,p) (De Giorgi local boundedness with a scale-correct forcing term).

[F3]

Assume the Axiom of Choice. Weak Harnack inequality: for every ball BS(y) with B2S(y)⋐Ω and every 0<p<n/(n−2) when n≥3, or every finite p>0 when n=2, S−n/p∥w∥Lp(BS(y))≤C2(ess inf⁡BS/2(y)w+S2−n/q∥G∥Lq(B2S(y))) for every nonnegative weak supersolution w of L0w=−G with G∈Llocq(Ω), where C2=C2(n,q,θ,Ma,p); the range contains s0:=min⁡{p0,1/2}, where p0=p0(n,θ,Ma)>0 is produced by the Moser iteration (Weak Harnack inequality for nonnegative supersolutions, Moser iteration for positive supersolutions: negative-power and logarithmic comparison).

[F4]

Assume the Axiom of Choice. Averaging and the elementary comparison of the negative part of the source: 1∣BS(y)∣∫BS(y)wpdx=S−n∥w∥Lp(BS(y))p/∣B1∣, and ∥(−F)+∥Lq=∥F−∥Lq≤∥F∥Lq (The average of a locally integrable function over a Euclidean ball, The space Lp(μ) as the quotient by null functions, The essential supremum of a measurable function with respect to a measure).

[F5]

Assume the Axiom of Choice. The n=2 substitute: the critical embedding W01,2↪Lκ for every finite κ replaces the 2∗ embedding in both quoted theorems (The Sobolev inequality for zero-boundary Sobolev closures on open sets, The critical Sobolev embedding into every finite Lq).

Proof

technique · direct; combine the forcing local-boundedness estimate for the subsolution role of $u$ with the weak Harnack inequality for its supersolution role, both on the same ball $B_R$, and compare the two source terms
1.1givenF1F4

The forcing source in the subsolution role. By [F1] the solution u is a nonnegative weak subsolution with source −F, whose positive part is (−F)+=F−; by [F4], ∥F−∥Lq(BR(x0))≤∥F∥Lq(B2R(x0)).

2.1step 1.1F2F3F4

Chaining local boundedness with the weak Harnack inequality. Fix s0:=min⁡{p0,1/2} from [F3], which is an admissible weak-Harnack exponent in both the n≥3 and n=2 ranges, and apply local boundedness [F2] to u on BR(x0) with ρ=1/2. Its source term satisfies R2−n/q∥F−∥Lq(BR)≤R2−n/q∥F∥Lq(B2R) by [F4]. Apply weak Harnack [F3] to the supersolution u on the same ball with p=s0 and G=F; after converting the normalized mean to the stated norm, (1∣BR∣∫BRus0)1/s0≤C2′(ess inf⁡BR/2u+R2−n/q∥F∥Lq(B2R)), where C2′=C2/∣B1∣1/s0. Substituting this bound into the local estimate gives coefficient C1C2′ on the infimum and C1(C2′+1) on the source term; thus C:=C1(C2′+1) works for both and depends only on n,q,θ,Ma.

3.1step 2.1F5algebra∎

The homogeneous case and the n=2 clause. If F=0 the same two steps give ess sup⁡BR/2u≤C1C2′(ess inf⁡BR/2u), the Harnack inequality; the extremal balls agree, so no regularity is used. For n=2 the same proof applies with [F5] in place of the 2∗ embedding in both quoted theorems and with every finite p, so the range 0<p<n/(n−2) becomes unbounded. All arguments use Countable Choice and the Axiom of Choice only through the suppliers named above.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passOpen item page →

A finite interior ball chain propagates weak Harnack bounds

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥3, let Ω⊆Rn be open and connected, let A,L0 be as in De Giorgi local boundedness of homogeneous subsolutions, let F∈Llocq(Ω) with q>n/2, and let u∈H1(Ω;R) with u≥0 a.e. be a weak solution of L0u=−F (Harnack inequality for nonnegative weak solutions). Let K⋐Ω be compact and connected with positive Lebesgue measure. Then there are a number N=N(K,Ω) and balls BR1(x1),…,BRN(xN)⋐Ω with ⋃j=1NBRj/2(xj)⊇K together with a constant C=C(n,q,θ,Ma,K,Ω) such that ess sup⁡Ku≤C(ess inf⁡Ku+∑j=1NRj 2−n/q∥F∥Lq(B2Rj(xj))). The connectedness of K makes the finite cover's overlap graph connected, and the constant grows with N; the forcing sum is finite because the cover is finite.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; a connected open set Ω⊆Rn; uniformly elliptic measurable symmetric coefficients A with constants θ,Ma; a source F∈Llocq(Ω), q>n/2; a nonnegative weak solution u∈H1(Ω;R) of L0u=−F; a compact connected set K⋐Ω with positive Lebesgue measure.

[F1]

Assume the Axiom of Choice. Harnack inequality on doubled balls: for every ball BR(x) with B2R(x)⋐Ω, ess sup⁡BR/2(x)u≤C1(ess inf⁡BR/2(x)u+R2−n/q∥F∥Lq(B2R(x))) with C1=C1(n,q,θ,Ma) (Harnack inequality for nonnegative weak solutions, Weak subsolutions and supersolutions of a divergence-form equation).

[F2]

Assume the Axiom of Choice. Compactness and containment: since K is compact and Ω is open, dist⁡(K,Rn∖Ω)>0, so a finite family of balls B2Ri(xi)⋐Ω, xi∈K, can be chosen with the half-balls BRi/2(xi) covering K (Heine-Borel in Rn: with the Euclidean metric a subset of Rn is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line).

[F3]

Since K is connected, the finite cover by the relative open sets K∩BRi/2(xi) has a connected intersection graph: otherwise the unions corresponding to two components of the graph would separate K. If two such relative open sets intersect, the corresponding open balls intersect in a nonempty open set and hence in a set of positive Lebesgue measure (Separation of a topological space, connected and disconnected spaces, clopen sets, and connected subsets).

[F4]

Assume Countable Choice. The zero extension of u∈L2(Ω) lies in L2(Rn)⊂Lloc1(Rn); applying the cited Lebesgue-point theorem and restricting to Ω gives a full-measure Lebesgue set (Lebesgue points and the Lebesgue set of an Lloc1 class, Almost every point is a Lebesgue point of a locally integrable function). At a Lebesgue point x in a ball B, ess inf⁡Bu≤u(x)≤ess sup⁡Bu: if either inequality failed, the averages of ∣u(y)−u(x)∣ over sufficiently small balls centered at x would stay bounded below by a positive constant.

[F5]

For two measurable balls Bi,Bj with ∣Bi∩Bj∣>0, ess inf⁡Biu≤ess sup⁡Bju; otherwise a real number strictly between them would be both an almost-everywhere lower bound on Bi and an almost-everywhere upper bound on Bj, impossible on their positive-measure intersection (The essential supremum of a measurable function with respect to a measure).

[F6]

If Mj≤C1(Mj+1+gj) for j=1,…,N−1 and C1≥1, then M1≤C1N(MN+∑j=1N−1gj) by expanding the finite recurrence. [algebra]

Proof

technique · direct; cover $K$ by finitely many doubled balls whose half-balls have a connected overlap graph, propagate Harnack along a graph path, and use Lebesgue-point values at the endpoints to compare the essential extrema on $K$
1.1givenF2F3

The finite cover and connected overlap graph. By [F2] choose finitely many balls BRi(xi), xi∈K, with B2Ri(xi)⋐Ω whose half-balls cover K. By [F3] their intersection graph is connected. Let G:=∑i=1Ngi, where gi:=Ri2−n/q∥F∥Lq(B2Ri(xi)); this sum is finite because the cover is finite and F∈Llocq(Ω).

2.1step 1.1F1F3F4F5F6

Endpoint estimate along a graph path. Put C0:=max⁡{1,C1}, where C1 is the local Harnack constant in [F1]. Let x,y∈K be Lebesgue points of u, and choose cover half-balls BRi/2(xi) and BRj/2(xj) containing them. By [F3] there is a path i=i0,i1,…,iℓ=j in the finite intersection graph, with ℓ≤N−1. Write Ms:=ess sup⁡BRis/2(xis)u and ms:=ess inf⁡BRis/2(xis)u. For s<ℓ, the Harnack bound [F1] and the correctly oriented overlap comparison [F5] give Ms≤C0(ms+gis)≤C0(Ms+1+gis). Iterating by [F6] and applying [F1] on the last ball gives u(x)≤M0≤C0ℓ+1(u(y)+∑s=0ℓgis)≤C0N(u(y)+G), because [F4] gives u(x)≤M0 and mℓ≤u(y) at Lebesgue points.

3.1step 2.1F4algebra∎

Conclusion for essential extrema on K. The set of Lebesgue points in K has full measure in K by [F4]. For any ε>0, the positive-measure hypothesis on K and the definition of essential infimum give a Lebesgue point y∈K with u(y)<ess inf⁡Ku+ε. Applying step 2.1 with this fixed y gives u(x)≤C0N(ess inf⁡Ku+ε+G) for almost every Lebesgue point x∈K. Taking the essential supremum over K and then letting ε↓0 proves the stated inequality with C:=C0N.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passOpen item page →

Zero-set propagation for a nonnegative Holder weak solution

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥3, let Ω⊆Rn be connected and open, let A,L0 be as in De Giorgi local boundedness of homogeneous subsolutions, and let u∈H1(Ω;R) with u≥0 a.e. be a weak solution of L0u=0. Let u∗ be a continuous representative of u on Ω (such a representative exists by De Giorgi-Nash interior Holder regularity for divergence-form equations) and let x0∈Ω with u∗(x0)=0. Then u∗≡0 on Ω; equivalently the zero set {u∗=0} is both relatively open and relatively closed in Ω. The same argument shows: if u∈H1(Ω) is merely a nonnegative weak supersolution of L0u≥0 and a representative of u is continuous at a point x0 with value 0, then u=0 a.e. on a neighbourhood of x0; the global conclusion then needs a continuous representative on all of Ω.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; a connected open set Ω⊆Rn, n≥3; uniformly elliptic measurable symmetric coefficients A with constants θ,Ma; the principal operator L0u=−Di(aijDju) with form a0; a nonnegative weak solution u∈H1(Ω;R) of L0u=0; a continuous representative u∗ of u; a point x0∈Ω with u∗(x0)=0.

[F1]

Assume the Axiom of Choice. Weak Harnack inequality at p=1: for every ball BS(y) with B2S(y)⋐Ω one has S−n∥w∥L1(BS(y))≤C1(ess inf⁡BS/2(y)w+S2−n/q∥F∥Lq(B2S(y))) for every nonnegative supersolution w of L0w=−F with F∈Llocq, q>n/2, with C1=C1(n,q,θ,Ma) (Weak Harnack inequality for nonnegative supersolutions).

[F2]

Assume the Axiom of Choice. A class in H1 with ∫B∣w∣ dx=0 on an open ball B vanishes a.e. on B; and the essential infimum of a nonnegative class over a ball is the infimum of any continuous representative over that ball, so that ess inf⁡BS/2(z)u≤u∗(x0)=0 whenever x0∈BS/2(z) and u≥0 a.e. (The space Lp(μ) as the quotient by null functions, The average of a locally integrable function over a Euclidean ball, The essential supremum of a measurable function with respect to a measure, Local Hölder and scaled C-two-alpha norms on balls).

[F3]

Assume the Axiom of Choice. Continuity and connectedness: the zero set of a continuous function is relatively closed, and a nonempty subset of a connected topological space that is both relatively open and relatively closed is the whole space (Separation of a topological space, connected and disconnected spaces, clopen sets, and connected subsets, Local Hölder and scaled C-two-alpha norms on balls).

[F4]

Assume the Axiom of Choice. Supersolution and subsolution vocabulary: a weak solution of L0u=0 is in particular a nonnegative weak supersolution of L0u≥0, and L0u=0 weakly means a0(u,v)=0 for every v∈H01(Ω) (Weak subsolutions and supersolutions of a divergence-form equation, Uniformly elliptic divergence-form operators and their sesquilinear forms).

Proof

technique · direct; the weak Harnack inequality with $p=1$ turns the vanishing of $u^*$ at a point into the vanishing of $u$ on a whole ball, which makes the zero set relatively open, while continuity makes it relatively closed; connectedness then forces the zero set to be all of $\Omega$
1.1givenF1F2

The zero set is relatively open. Fix a radius S>0 with B2S(x0)⋐Ω; such an S exists because Ω is open and x0∈Ω. Apply the weak Harnack inequality [F1] to u on the ball BS(x0) with p=1 and F=0: S−n∫BS(x0)u dx≤C1ess inf⁡BS/2(x0)u. Since x0∈BS/2(x0) and u≥0 a.e. with continuous representative u∗ vanishing at x0, [F2] gives ess inf⁡BS/2(x0)u≤u∗(x0)=0; hence ∫BS(x0)u dx=0 and therefore u=0 a.e. on BS(x0) by [F2]. Since u∗ is continuous and agrees with u a.e. on the ball BS(x0), the set where u∗≠0 is open and of measure zero in BS(x0); it must be empty, so u∗=0 on all of BS(x0).

2.1step 1.1F1F2F3F4

The zero set is relatively closed and the second assertion. The set Z:={x∈Ω:u∗(x)=0} is the preimage of the closed set {0} under the continuous map u∗, hence relatively closed in Ω by [F3]. For the second assertion, suppose only that u∈H1(Ω) is a nonnegative weak supersolution of L0u≥0 and that a representative is continuous at x0 with value 0; then the same computation with F=0 and the continuity of the representative at the single point x0 gives ∫BS(x0)u dx=0 for some S>0, hence u=0 a.e. on BS(x0), which is the local conclusion; the global conclusion needs a representative continuous on all of Ω so that [F3] applies to the whole zero set.

3.1step 2.1F3∎

Conclusion by connectedness. The set Z is nonempty (it contains x0), relatively open by step 1.1 and relatively closed by step 2.1; since Ω is connected, [F3] gives Z=Ω, that is u∗≡0 on Ω, which is the assertion. All arguments use Countable Choice and the Axiom of Choice only through the suppliers named above.

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Strong maximum principle for weak elliptic solutions

Statement

Assume Countable Choice and the Axiom of Choice. Let n≥3, let Ω⊆Rn be connected and open, let A,L0 be as in De Giorgi local boundedness of homogeneous subsolutions, and let u∈H1(Ω;R) with u≥0 a.e. be a weak solution of L0u=0 on Ω. Then either u=0 a.e. on Ω, or u>0 a.e. on Ω; moreover the Holder representative u∗ of De Giorgi-Nash interior Holder regularity for divergence-form equations satisfies: if u∗ vanishes at one point of Ω, then u∗≡0 on Ω, and otherwise u∗>0 on all of Ω. In particular a nonnegative weak solution that is not identically zero is strictly positive after the representative is fixed, and no interior zero is possible.

Facts & Assumptions

Given: Countable Choice and the Axiom of Choice; a connected open set Ω⊆Rn, n≥3; uniformly elliptic measurable symmetric coefficients A with constants θ,Ma; the principal operator L0u=−Di(aijDju); a nonnegative weak solution u∈H1(Ω;R) of L0u=0; a Holder representative u∗ of u on Ω.

[F1]

Assume the Axiom of Choice. Zero-set propagation: if u≥0 a.e. is a weak solution of L0u=0 on a connected open set and u∗ is a continuous representative with u∗(x0)=0 for some x0∈Ω, then u∗≡0 on Ω (Zero-set propagation for a nonnegative Holder weak solution, Separation of a topological space, connected and disconnected spaces, clopen sets, and connected subsets).

[F2]

Assume the Axiom of Choice. The representative exists, is continuous, and agrees with u almost everywhere, so u∗≥0 everywhere because u≥0 a.e. and u∗ is continuous; conversely if u∗>0 on Ω then u>0 a.e. (De Giorgi-Nash interior Holder regularity for divergence-form equations, Local Hölder and scaled C-two-alpha norms on balls, The space Lp(μ) as the quotient by null functions).

[F3]

Assume the Axiom of Choice. Weak solution vocabulary: L0u=0 weakly means a0(u,v)=0 for every v∈H01(Ω), and in particular u is both a weak subsolution and a weak supersolution (Weak subsolutions and supersolutions of a divergence-form equation, Uniformly elliptic divergence-form operators and their sesquilinear forms).

Proof

technique · direct dichotomy; either the continuous representative vanishes somewhere, in which case the zero-set propagation lemma makes it identically zero, or it has no zero, in which case continuity and nonnegativity make it strictly positive
1.1givenF1F2

The case of a zero. If there is x0∈Ω with u∗(x0)=0, then [F1] gives u∗≡0 on the connected set Ω; since u=u∗ a.e., u=0 a.e. on Ω.

2.1step 1.1F2F3∎

The case of no zero. If u∗ vanishes nowhere on Ω, then u∗≠0 everywhere; by [F2] u∗≥0 everywhere, so u∗>0 on all of Ω, and hence u>0 a.e. on Ω. Thus either u=0 a.e. or u>0 a.e.; in the first case u∗≡0 (as the continuous representative of the zero class) and in the second u∗>0 everywhere. In particular no point of Ω can be an interior zero of u∗ unless u∗ vanishes identically. All arguments use Countable Choice and the Axiom of Choice only through the suppliers named above.

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Scalar De Giorgi theory does not transfer verbatim to systems

Statement

The De Giorgi--Nash--Moser estimates on this page concern a single real-valued unknown. In De Giorgi-Nash interior Holder regularity for divergence-form equations, u∈H1(Ω;R) solves the scalar equation −div⁡(A∇u)=0, where A is a measurable symmetric uniformly elliptic spatial matrix. These are the hypotheses in [V] §1, Theorem 1. A component of a coupled elliptic system need not satisfy this scalar equation, so the theorem cannot be applied to that component merely because the system has an ellipticity condition. In particular, a system condition such as Legendre--Hadamard ellipticity does not by itself check the scalar hypotheses of this page. Any application to components must separately verify those hypotheses, as one can for a decoupled collection of scalar equations. Regularity theory for coupled systems is outside this page's scope.

Sources

Velichkov, Elliptic PDEs: Teorema di De Giorgi, Section 1 and Theorem 1 (printed p. 1 of the complete 7-page note, read in full), states and proves the interior regularity theorem for a scalar real-valued solution u of −div⁡(A∇u)=0 with a symmetric uniformly elliptic matrix A; the statement has no vector-valued or system analogue. This item records only the resulting limitation of De Giorgi-Nash interior Holder regularity for divergence-form equations and asserts no system counterexample and no system regularity theorem.

5 · Examples, counterexamples and false statements

None yet.

Sources