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Rectangular no-slip Stokes velocity and distribution pressure

Statement

Assume full AC. Let d≥2, R>0, and let Ω=∏i=1d(ai,bi)⊂(−R,R)d be a nonempty finite open rectangle. For α=(α1,…,αd)∈N0d, write ∣α∣=∑jαj and ∂α=∂1α1⋯∂dαd. For each compact K⊂Ω, let DK(Ω)={ϕ∈Cc∞(Ω;R):supp⁡ϕ⊆K} with seminorms pK,m(ϕ)=max⁡∣α∣≤msup⁡x∈K∣∂αϕ(x)∣, m∈N0. Give D(Ω)=Cc∞(Ω;R)=⋃K compact, K⊂ΩDK(Ω) the locally convex inductive-limit topology of these fixed-support test spaces. Give vector test fields the componentwise topology. A scalar or vector distribution is a continuous real-linear functional on the corresponding test space; write its bilinear real pairing as ⟨T,ϕ⟩ or ⟨T,ψ⟩. For scalar distributions define ⟨∂jT,ϕ⟩=−⟨T,∂jϕ⟩. For a smooth vector field ψ=(ψ1,…,ψd), set div⁡ψ=∑j∂jψj and ⟨∇p,ψ⟩=−⟨p,div⁡ψ⟩. An L2 vector field f acts by ⟨f,ψ⟩=∫Ωf⋅ψ dx, and for u∈H01 define ⟨Δu,ψ⟩=−∫Ω∇u:∇ψ dx. Here, for m=1 or m=d, H01(Ω;Rm) is the closure of Cc∞(Ω;Rm) in ∥v∥H1=(∫Ω(∣v∣2+∣∇v∣2) dx)1/2, where (∇v)ij=∂jvi and A:B=∑i,jAijBij; H−1(Ω)=(H01(Ω;R))′ is the continuous real dual of the scalar space with dual norm ∥p∥H−1=sup⁡∥ϕ∥H1≤1∣⟨p,ϕ⟩∣. A constant distribution c acts by ⟨c,ϕ⟩=c∫Ωϕ dx; R⊂H−1 denotes this subspace, and H−1/R has quotient norm ∥[p]∥=inf⁡c∈R∥p−c∥H−1. Thus D′(Ω;Rd) denotes the continuous real dual of the vector test space, and the equation below is an equality on every vector test field. Define V={v∈H01(Ω;Rd):∫Ωv⋅∇ϕ dx=0 for every ϕ∈Cc∞(Ω;R)}, with the inherited H1 norm.

Let μ>0 and f∈L2(Ω;Rd). There is a unique u∈V such that μ∫Ω∇u:∇v dx=∫Ωf⋅v dx(v∈V), and ∥∇u∥2≤2R∥f∥2/μ. There is a distribution p∈H−1(Ω) such that −μΔu+∇p=f in D′(Ω;Rd); it is unique modulo constant distributions. With the quotient norm on H−1/R and the product of the inherited H1 norm on V with that quotient norm, the map f↦(u,[p]) into V×(H−1/R) is bounded and linear. The pressure is not asserted to lie in L2 or to be smooth at rectangle corners.

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 and supplies Countable Choice for the Sobolev and Hilbert suppliers.

[F2]

Projected no-slip Stokes Hilbert space: V consists of divergence-free H01 fields with the closure-based no-slip convention.

[F3]

Projected stationary weak Stokes solvability: for the stated bounded open domain, μ>0, and f∈L2, a unique variational velocity exists with the 2R/μ gradient bound.

[F4]

Rectangular continuous divergence inverse on mean-zero tests: on a finite rectangle, every compactly supported smooth scalar test of integral zero has a compactly supported smooth vector preimage under divergence, with fixed-support continuity.

[F5]

Directional Poincaré bound for zero trace: on the stated domain, ∥v∥2≤2R∥∇v∥2 for every v∈H01.

[A1]

A normalized smooth compact bump exists inside every nonempty interval; an affine rescaling of e−1/(1−s2) on ∣s∣<1, extended by zero, gives one after normalization.

Proof

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

1.1givenF1F2F3algebra

Apply [F3] to obtain the unique u∈V and the stated variational identity and gradient bound. Define the vector functional T=f+μΔu on vector tests by ⟨T,ψ⟩=∫Ωf⋅ψ dx−μ∫Ω∇u:∇ψ dx. It satisfies ∣⟨T,ψ⟩∣≤(∥f∥2+μ∥∇u∥2)∥ψ∥H1. For each fixed compact support K, ∥ψ∥H1≤CKpK,1(ψ) componentwise, so T is continuous on every DK and hence belongs to D′(Ω;Rd) with the stated inductive-limit topology. The variational identity shows that T annihilates every compactly supported smooth divergence-free vector field, since each lies in V.

1.2givenA1construct

Each interval contains a central compact subinterval. Affinely rescale b(s)=e−1/(1−s2) on ∣s∣<1, extended by zero. Every derivative is the exponential times a finite sum of rational terms with poles of finite order at ∣s∣=1, and the exponential tends to zero faster than every such power; thus the extension is smooth. Normalize its positive finite integral to fix interval bumps θi, independently of all input tests and support sets, and set θ(x)=∏i=1dθi(xi). Then θ∈Cc∞(Ω) and ∫Ωθ dx=1.

2.1givenF4step 1.2constructalgebrainduction

The existence and test-space continuity in [F4] alone assert no Sobolev estimate. Choose a particular inverse explicitly, and verify its needed properties locally. In dimension one set Rh(x)=∫a1xh(s) ds for ∫h=0. In dimension d>1, put x′=(x2,…,xd), Ω′=∏i=2d(ai,bi) and H(x′)=∫a1b1h(s,x′) ds. Define recursively (Rh)1(x1,x′)=∫a1x1(h(s,x′)−θ1(s)H(x′)) ds,(Rh)j(x1,x′)=θ1(x1)(R′H)j−1(x′)(2≤j≤d), where R′ is the same construction on Ω′ using θ2,…,θd. Smoothness and differentiation under these finite integrals follow from the smooth zero extension of the tests to a neighborhood of the closed box. Fubini gives ∫Ω′H=∫Ωh=0. The first-component derivative is h−θ1H; the sum of the other divergence terms is θ1H by induction, proving div⁡(Rh)=h. If h is supported in a fixed compact K, choose closed intervals inside each side containing its coordinate projection and supp⁡θi. Their product contains every output support: the first primitive vanishes before this interval and after it because its full first-coordinate integral is zero, and the other components have this support by induction. For pm the supremum of derivatives of order at most m, pm(H)≤(b1−a1)pm(h). Differentiating the displayed formula bounds each output derivative by a fixed bump-derivative constant times pm(h), a finite-integral length times that bound, or pm(R′H). The one-dimensional primitive has pm(Rh)≤max⁡(1,b1−a1)pm(h); induction therefore gives pm(Rh)≤CΩ,mpm(h). All operations are linear. This proves that this chosen map has the right-inverse and support-continuity properties, without extracting a quantitative Sobolev estimate from [F4].

3.1givenstep 1.1step 1.2step 2.1construct

For ϕ∈D(Ω) put ϕ0=ϕ−(∫Ωϕ dx)θ and define ⟨p,ϕ⟩=−⟨T,Rϕ0⟩. This is linear. For tests supported in fixed K, ϕ0 is supported in K∪supp⁡θ, and step 2.1 puts Rϕ0 in a common compact support with every output seminorm bounded by input seminorms. Continuity of T on that test space proves that p is continuous on every DK, hence a distribution. Its construction gives ⟨p,θ⟩=0.

4.1givenstep 1.1step 2.1step 3.1algebrainduction

Write ℓ1=b1−a1 and Jg(x1,x′)=∫a1x1g(s,x′) ds. Cauchy–Schwarz and Fubini give ∥Jg∥2≤ℓ1∥g∥2, ∂1Jg=g and ∂xjJg=J(∂xjg) for j>1, hence ∥Jg∥H1≤1+ℓ12∥g∥H1. They also give ∥H∥H1(Ω′)≤ℓ1∥h∥H1(Ω). With B12=∥θ1∥L2(a1,b1)2+∥θ1′∥L2(a1,b1)2, the product rule and Fubini give ∥θ1G∥H1(Ω)≤B1∥G∥H1(Ω′), also for vector G. Thus the first component in step 2.1 is bounded in H1 by 1+ℓ12(1+B1ℓ1)∥h∥H1; the other components together are bounded by B1ℓ1CΩ′∥h∥H1 if the inductive inverse bound is CΩ′. The one-dimensional primitive starts the induction, proving ∥Rh∥H1≤CΩ∥h∥H1 with a constant independent of the input support. Also ∥ϕ0∥H1≤(1+∣Ω∣1/2∥θ∥H1)∥ϕ∥H1, since ∣∫Ωϕ∣≤∣Ω∣1/2∥ϕ∥2. Therefore ∣⟨p,ϕ⟩∣≤CΩ(∥f∥2+μ∥∇u∥2)∥ϕ∥H1. For any H01 element choose smooth tests converging in H1; this bound makes their pressure values Cauchy with the same limit for any such sequence. The resulting extension is a bounded linear functional on H01, so p∈H−1.

5.1givenF3F4F5step 1.1step 1.2step 2.1step 3.1step 4.1algebra∎

For compactly supported smooth vector ψ, ∫Ωdiv⁡ψ dx=0. The field ψ−R(div⁡ψ) is divergence-free by step 2.1, so step 1.1 implies ⟨T,R(div⁡ψ)⟩=⟨T,ψ⟩. By the definition of distribution gradient, ⟨∇p,ψ⟩=−⟨p,div⁡ψ⟩=⟨T,ψ⟩, hence ∇p=T and −μΔu+∇p=f. If p1,p2 both work, then ∇(p1−p2)=0. Every h∈D0(Ω) is a divergence by [F4], so the real pairing convention gives ⟨p1−p2,h⟩=0. Decomposing any test as ϕ0+(∫Ωϕ dx)θ shows p1−p2 is constant. Uniqueness of the variational velocity in [F3] makes f↦u linear: any linear combination of two velocities solves the variational equation for the same combination of their forcings. With the bumps fixed, T and the normalized p are then linear in f as well. By [F5] and [F3], ∥u∥H1≤1+4R2 2R∥f∥2/μ, while step 4.1 and [F3] give ∥[p]∥≤∥p∥H−1≤CΩ(1+2R)∥f∥2. These prove the bounded linear map into the stated product.

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