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LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck pendingverified 2026-10-23 (gpt-6.1-sol)
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Directional Poincaré bound for zero trace

Statement

Assume full AC. Let d≥2, R>0, and let Ω⊂(−R,R)d be bounded and open. For every v∈H01(Ω;Rd), ∥v∥L2(Ω)≤2R∥∂1v∥L2(Ω)≤2R∥∇v∥L2(Ω). Here H01 is the closure of compactly supported smooth fields in the Sobolev norm.

Facts & Assumptions

Given: The hypotheses stated in the formulation, including the explicitly adopted choice principle where indicated.

[F1]

The Axiom of Choice: full AC is the explicit background assumption retained by the local zero-trace Stokes-space definition.

[F2]

Projected no-slip Stokes Hilbert space: for nonempty Ω, H01 is the Sobolev-norm closure of Cc∞ fields on Ω.

[F3]

Integer-order Sobolev spaces and their norms: scalar W1,2 is defined for every open set, including the empty set, where it is the zero space and every displayed norm is zero.

Proof

Given: Full AC, R>0, Ω⊂(−R,R)d, and v∈H01(Ω;Rd).

1.1givenF2F3constructalgebra

If Ω=∅, [F3] makes each scalar Sobolev space the zero space, so its finite vector product and the closure of the sole compactly supported smooth field are {0}. Thus the closure convention in the Statement gives H01(∅;Rd)={0}, and all three displayed norms vanish. Henceforth assume Ω≠∅, so [F2] applies. For v∈Cc∞(Ω;Rd), extend v by zero to the cube. For each component and fixed x′=(x2,…,xd), the fundamental theorem of calculus gives v(x1,x′)=∫−Rx1∂1v(t,x′)dt. Cauchy–Schwarz bounds its squared norm by 2R∫−RR∣∂1v(t,x′)∣2dt.

2.1givenstep 1.1F2algebra

Integrating the preceding bound over x1∈(−R,R) and x′ yields ∥v∥22≤(2R)2∥∂1v∥22. The pointwise matrix norm inequality ∣∂1v∣≤∣∇v∣ gives the second inequality.

3.1givenF1F2step 2.1algebra∎

By the closure in [F2], choose compactly supported smooth vn→v in H1. Then both vn→v in L2 and ∂1vn→∂1v in L2, so the inequalities pass to the limit.

Depends on

Dependency tree · 2 levels

Sources