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Rectangular no-slip Stokes velocity and distribution pressure
Statement
Assume full AC. Let , , and let be a nonempty finite open rectangle. For , write and . For each compact , let with seminorms , . Give 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 or . For scalar distributions define . For a smooth vector field , set and . An vector field acts by , and for define . Here, for or , is the closure of in , where and ; is the continuous real dual of the scalar space with dual norm . A constant distribution acts by ; denotes this subspace, and has quotient norm . Thus denotes the continuous real dual of the vector test space, and the equation below is an equality on every vector test field. Define , with the inherited norm.
Let and . There is a unique such that and . There is a distribution such that in ; it is unique modulo constant distributions. With the quotient norm on and the product of the inherited norm on with that quotient norm, the map into is bounded and linear. The pressure is not asserted to lie in or to be smooth at rectangle corners.
Statement references
Facts & Assumptions
Given: The hypotheses stated in the formulation, including the explicitly adopted choice principle where indicated.
The Axiom of Choice: full AC is assumed and supplies Countable Choice for the Sobolev and Hilbert suppliers.
Projected no-slip Stokes Hilbert space: consists of divergence-free fields with the closure-based no-slip convention.
Projected stationary weak Stokes solvability: for the stated bounded open domain, , and , a unique variational velocity exists with the gradient bound.
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.
Directional Poincaré bound for zero trace: on the stated domain, for every .
A normalized smooth compact bump exists inside every nonempty interval; an affine rescaling of on , extended by zero, gives one after normalization.
Proof
Given: Full AC, a finite rectangle , , and .
Apply [F3] to obtain the unique and the stated variational identity and gradient bound. Define the vector functional on vector tests by It satisfies . For each fixed compact support , componentwise, so is continuous on every and hence belongs to with the stated inductive-limit topology. The variational identity shows that annihilates every compactly supported smooth divergence-free vector field, since each lies in .
Each interval contains a central compact subinterval. Affinely rescale on , extended by zero. Every derivative is the exponential times a finite sum of rational terms with poles of finite order at , 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 , independently of all input tests and support sets, and set . Then and .
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 for . In dimension , put , and . Define recursively where is the same construction on using . 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 . The first-component derivative is ; the sum of the other divergence terms is by induction, proving . If is supported in a fixed compact , choose closed intervals inside each side containing its coordinate projection and . 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 the supremum of derivatives of order at most , . Differentiating the displayed formula bounds each output derivative by a fixed bump-derivative constant times , a finite-integral length times that bound, or . The one-dimensional primitive has ; induction therefore gives . 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].
For put and define . This is linear. For tests supported in fixed , is supported in , and step 2.1 puts in a common compact support with every output seminorm bounded by input seminorms. Continuity of on that test space proves that is continuous on every , hence a distribution. Its construction gives .
Write and . Cauchy–Schwarz and Fubini give , and for , hence . They also give . With , the product rule and Fubini give , also for vector . Thus the first component in step 2.1 is bounded in by ; the other components together are bounded by if the inductive inverse bound is . The one-dimensional primitive starts the induction, proving with a constant independent of the input support. Also , since . Therefore . For any element choose smooth tests converging in ; this bound makes their pressure values Cauchy with the same limit for any such sequence. The resulting extension is a bounded linear functional on , so .
For compactly supported smooth vector , . The field is divergence-free by step 2.1, so step 1.1 implies . By the definition of distribution gradient, , hence and . If both work, then . Every is a divergence by [F4], so the real pairing convention gives . Decomposing any test as shows is constant. Uniqueness of the variational velocity in [F3] makes linear: any linear combination of two velocities solves the variational equation for the same combination of their forcings. With the bumps fixed, and the normalized are then linear in as well. By [F5] and [F3], , while step 4.1 and [F3] give . These prove the bounded linear map into the stated product.