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TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck pendingverified 2026-10-23 (gpt-6.1-sol)
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Projected stationary weak Stokes solvability

Statement

Assume full AC. Let d≥2, let R>0, let Ω⊂(−R,R)d be nonempty bounded open, let μ>0, and let f∈L2(Ω;Rd). There is a unique u∈V such that μ∫Ω∇u:∇v=∫Ωf⋅v(v∈V), where V is the distributionally divergence-free subspace of H01 defined above. It satisfies ∥∇u∥2≤2R∥f∥2/μ. This is a projected variational velocity result; it asserts no pressure, L2 pressure regularity, or classical boundary regularity.

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 assumed; applying its choice function to a sequence of nonempty sets gives a selector for that sequence, hence Countable Choice.

[F2]

Projected no-slip Stokes Hilbert space: V is the real Hilbert space of distributionally divergence-free H01 vector fields.

[F3]

Directional Poincaré bound for zero trace: ∥v∥2≤2R∥∇v∥2 for the specified domain.

[F4]

Riesz representation for Hilbert spaces: under its Countable Choice hypothesis, every bounded real linear functional on a real Hilbert space has a unique representing vector.

Proof

Given: Full AC, μ>0, f∈L2, and V on Ω⊂(−R,R)d.

1.1givenF2F3F1

By [F2], V is complete in its H1 norm. The estimate in [F3] shows ∥v∥2≤2R∥∇v∥2, so the gradient norm is equivalent to the H1 norm on V and is complete. Thus (v,w)V=∫Ω∇v:∇w is a real Hilbert inner product.

2.1givenF1F4step 1.1algebra

The functional F(v)=∫f⋅v is linear and satisfies ∣F(v)∣≤∥f∥2∥v∥2≤2R∥f∥2∥v∥V. To verify the Countable Choice hypothesis of [F4], take any sequence (Xn)n∈N of nonempty sets. Its range F={Xn:n∈N} is a family of nonempty sets, so full AC [F1] gives a choice function g on F; then n↦g(Xn) is a selector for the sequence. Riesz [F4] therefore applies to the real Hilbert space from step 1.1 and bounded functional F, giving a unique z∈V with (z,v)V=F(v); set u=z/μ.

3.1givenF3step 2.1algebra∎

Taking v=u in the variational identity gives μ∥∇u∥22=∫f⋅u≤2R∥f∥2∥∇u∥2. If the gradient norm is zero, the desired bound is immediate; otherwise divide by μ∥∇u∥2. If u1,u2 both solve, their difference tested against itself has zero gradient norm, hence is zero by Poincaré.

Depends on

Dependency tree · 2 levels

Sources