Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck passjudge pass (gpt-6-luna)
How statement and proof provenance work

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

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

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

The subcritical W0 one p embedding into L2

Statement

Assume the Axiom of Choice. Let d≥1, let Ω⊆Rd be a bounded open set, and let 1<p<∞ satisfy p>max⁡(1,2d/(d+2)). Then W01,p(Ω) is continuously and compactly embedded in L2(Ω). In particular, the inclusion is dense. No boundary regularity is required.

Facts & Assumptions

Given: The Axiom of Choice; a bounded open set Ω⊆Rd; d≥1; and 1<p<∞ with p>max⁡(1,2d/(d+2)).

[F1]

For d≥2, if 1≤r<d and 2<dr/(d−r), then W01,r(Ω) is compactly embedded in L2(Ω) for every bounded open Ω, without boundary regularity (Subcritical compactness for W01,p on arbitrary bounded open sets).

[F2]

For d≥2 and 1≤r<d, the zero-boundary Sobolev inequality is ∥v∥Lr∗≤C∥∇v∥Lr, where r∗=dr/(d−r) (The Sobolev inequality for zero-boundary Sobolev closures on open sets).

[F3]

On a finite-measure set, Hölder gives ∥g∥Ls≤∣Ω∣1/s−1/r∥g∥Lr when 1≤s<r<∞ (Holder's inequality for integrals, including the endpoint cases).

[F4]

For any open Ω, zero extension maps W01,p(Ω) isometrically into W1,p(Rd), with weak gradient the zero extension of ∇v (Zero extension of W_0^{1,p} has no boundary derivative).

[F5]

For every open Ω⊆Rd, Cc∞(Ω) is dense in L2(Ω); if Ω⊂R is bounded, then ∣Ω∣<∞ and uniform convergence on a fixed compact interval implies L2(Ω) convergence (Smooth compactly supported functions of an open set are dense in L2, Lebesgue measure is sigma-finite, and every metrically bounded subset of Rn has finite outer measure).

[F6]

For a differentiable real function on a compact interval, the fundamental theorem gives the endpoint difference as the integral of the derivative; Hölder bounds that integral by the interval length to the power 1−1/p times the derivative's Lp norm (If f:[a,b]→Rm is differentiable with integrable f′ then ∫abf′=f(b)−f(a); and a bounded derivative makes f Lipschitz, Holder's inequality for integrals, including the endpoint cases).

[F7]

Under Countable Choice and Dependent Choice, a uniformly bounded equicontinuous family in C([a,b];R) has compact closure in the supremum norm (Arzelà--Ascoli for real C(K) under Countable Choice and Dependent Choice: compact closure iff equicontinuous and pointwise bounded).

[F8]

W01,p(Ω) is the norm closure of Cc∞(Ω) in W1,p, and the Sobolev norm includes the function and weak first derivatives (Zero-boundary Sobolev space as a norm closure, Integer-order Sobolev spaces and their norms).

[F9]

A compact embedding is a continuous inclusion whose image of each bounded set has compact closure; under the stated choice assumptions this is equivalent to the sequential subsequence form used below (Compactly embedded normed spaces).

Proof

1.1A1F4F6F8givenconstruct

If Ω=∅, then W01,p(Ω)=L2(Ω)={0} and the conclusion holds. Assume Ω≠∅. First consider d=1. Choose a bounded open interval I=(a,b) with Ω‾⊂I and let L=b−a. By [F4] and the closure definition [F8], each v∈W01,p(Ω) has zero extension E0v∣I∈W01,p(I): choose φm∈Cc∞(Ω) converging to v in W1,p and extend each by zero into Cc∞(I). Countable Choice selects this approximating sequence. For every such smooth extension φm, [F6] gives ∣φm(x)−φm(y)∣≤∣x−y∣1−1/p∥φm′∥Lp(I) and ∥φm∥L∞([a,b])≤L1−1/p∥φm′∥Lp(I), because it vanishes near both endpoints. Applying the second inequality to differences shows that (φm) is uniformly Cauchy; its continuous uniform limit w represents E0v∣I since φm→E0v in Lp(I). For every ζ∈Cc∞(I), uniform convergence and φm′→E0(v′) in Lp(I) give ∫Iwζ′=−∫IE0(v′)ζ. Thus w′=E0(v′) weakly and [F4] gives ∥w′∥Lp(I)=∥v′∥Lp(Ω). Passing to the limit in the two displayed inequalities gives the same Hölder and supremum bounds for w.

1.2A1F1F3F8givenalgebra

Now let d≥2. Put s0=max⁡(1,2d/(d+2)) and s1=min⁡(p,d). The strict hypothesis gives s0<s1; set r=(s0+s1)/2. Then 1<r<p, r<d, and 2<r∗=dr/(d−r). By finite-measure Hölder [F3], W01,p(Ω)↪W01,r(Ω) continuously: the function and gradient Lr norms are bounded by their Lp norms, and a Cc∞ approximating sequence in W1,p also converges in W1,r. Therefore [F1] gives compactness of W01,p(Ω)→L2(Ω).

2.1A1F5F7step 1.1givenalgebra

For a bounded sequence (vj) in W01,p(Ω), the representatives wj from step 1.1 are uniformly bounded by L1−1/psup⁡j∥∇vj∥p and share the modulus ∣wj(x)−wj(y)∣≤∣x−y∣1−1/psup⁡j∥∇vj∥p. Arzelà–Ascoli [F7] gives a uniformly convergent subsequence on the fixed compact interval [a,b]. Its restrictions converge in L2(Ω) by [F5], proving compactness. For each v∈W01,p(Ω) the same supremum estimate gives ∥v∥2≤∣Ω∣1/2L1−1/p∥∇v∥p≤L3/2−1/p∥∇v∥p, proving continuity.

3.1F2F3F5F8F9step 1.1step 2.1step 1.2algebra∎

In the d≥2 branch, for v∈W01,p(Ω), [F2] and [F3] yield the continuous estimate ∥v∥2≤∣Ω∣1/2−1/r∗∥v∥r∗≤C∣Ω∣1/2−1/r∗+1/r−1/p∥∇v∥p, using the Sobolev inequality [F2] with exponent r. Thus the inclusion is continuous on the W01,p norm. Finally [F5] and the closure definition [F8] give Cc∞(Ω)⊂W01,p(Ω) dense in L2(Ω). The preceding arguments prove the complete d=1 and d≥2 branches; [F9] then gives the claimed compact embedding in its continuous/sequential sense.

Depends on

Used by

Dependency tree · two levels

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

Sources