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Integrated pressure recovery and MINI pressure-primitive convergence

Statement

Assume the Axiom of Choice. Let D⊂Rd be nonempty, bounded, connected and Lipschitz, with d∈{2,3}, let 0<T<∞ and ν>0. Use V=H01(D;Rd), Q=L02(D), Vσ=ker⁡(div⁡:V→Q), Hσ=Vσ‾ L2(D), the bilinear form aν(v,w)=2ν∫Dε(v):ε(w), the pressure form b(v,q)=−(q,div⁡v)L2, and the real skew convective form c from Stokes velocity and pressure spaces and weak forms, The skew convective form for incompressible flow and Solenoidal energy weak velocity for incompressible Navier–Stokes. Let CP be a Poincare constant, Cdiv a bounded divergence-right-inverse constant, and choose Cc large enough that ∣c(a;b,v)∣≤Cc∥a∥V∥b∥V∥v∥V,∥c(a;a,⋅)∥V∗≤Cc∥a∥L21/2∥a∥V3/2. For f∈L2(0,T;L2(D)d) and u0∈Hσ, let u be a solenoidal energy weak velocity. Put U=∥u∥L∞L2, E=∥u∥L2V and F=∥f∥L2L2. There is a unique P∈L∞(0,T;Q)∩Cw([0,T];Q) with P(0)=0 such that, for every t∈[0,T] and v∈V, (u(t)−u0,v)L2+∫0t(aν(u(s),v)+c(u(s);u(s),v)) ds+b(v,P(t))=∫0t(f(s),v)L2 ds. Here Cw means continuity when tested against every fixed element of the Hilbert space Q. Moreover, ∥P∥L∞Q≤Cdiv(CP(U+∥u0∥L2)+CPTF+2νTE+CcT1/4U1/2E3/2). Define the Q-valued time distribution p=∂tP by ⟨p,η⟩=−∫0TP(t)η′(t) dt(η∈Cc∞(0,T)). The bound ∥⟨p,η⟩∥Q≤∥P∥L∞Q∥η′∥L1 makes this a continuous linear map from scalar test functions to Q. Then p is the unique mean-zero distributional pressure for u, and for every φ∈C1([0,T];V) vanishing near T, −∫0T(u,φ′)L2 dt+∫0T(aν(u,φ)+c(u;u,φ)) dt−∫0Tb(φ′,P) dt=∫0T(f,φ)L2 dt+(u0,φ(0))L2. This pressure is a distribution; the assertion does not place p in L4/3(0,T;Q).

For the discrete assertions, further assume that D is polyhedral. Let Tj be matching shape-regular MINI meshes with hj→0, and let 0=t0j<⋯<tNjj=T have maximum step τmax⁡,j→0. On each mesh take uh,j0=PZju0 and any actual scheme solution (uh,jn,ph,jn). Write u‾h,j(t)=uh,jn and p‾h,j(t)=ph,jn on (tn−1j,tnj]. For any subsequence for which u‾h,j converges to u as in MINI backward Euler converges subsequentially to a solenoidal energy weak velocity, define Ph,j0=0, Ph,jm=∑n=1mτnjph,jn, and let Ph,j be the continuous piecewise-affine interpolant of these nodal values. If max⁡n∥uh,jn∥L2≤Uj and ∥u‾h,j∥L2V≤Ej, then the uniform MINI inf-sup lower bound β>0 gives sup⁡t∈[0,T]∥Ph,j(t)∥L2≤β−1(2CPUj+CPTF+2νTEj+CcT1/4Uj1/2Ej3/2). Along a further subsequence, Ph,j⇀P in L2(0,T;Q). The piecewise-constant pressures converge to p as Q-valued time distributions: for every q∈Q and η∈Cc∞(0,T), ∫0T(p‾h,j(t),q)L2η(t) dt⟶(⟨p,η⟩,q)L2. No relation between mesh size and maximum time step is imposed. These conclusions give pressure primitives and time-distribution convergence, not an instantaneous pressure regularity estimate.

Finally, let utfull denote the distributional derivative of u as a V∗-valued distribution, using the embedding L2(D)d↪V∗. For this u, the pressure-bearing L4/3(0,T;Q) clause holds if and only if utfull is represented by an L4/3(0,T;V∗) Bochner function. This criterion concerns the actual full derivative, not an extension of its restriction to Vσ.

Facts & Assumptions

Given: The Axiom of Choice, the domain, viscosity and time interval in the Statement, a solenoidal energy weak velocity u, data f,u0, and, for the discrete clauses, the stated mesh/time families and mixed MINI solutions.

[A1]

The Axiom of Choice supplies Countable Choice and the dependent-choice interfaces used by the scalar absolutely-continuous, Bochner and Hilbert subsequence results below. (The Axiom of Choice, AC supplies the countable and dependent choices used in Banach integration, The Axiom of Countable Choice (ACω))

[F1]

The solenoidal energy velocity has a representative weakly continuous in Hσ, with u(0)=u0, u∈L∞(0,T;Hσ)∩L2(0,T;Vσ), and it satisfies the scalar time-tested equation on every fixed v∈Vσ. (Solenoidal energy weak velocity for incompressible Navier–Stokes)

[F2]

V=H01(D;Rd) has norm ∥v∥V=∥∇v∥2, Q=L02(D), b(v,q)=−(q,div⁡v) and aν(v,w)=2ν(ε(v),ε(w)). Every v∈V has div⁡v∈Q and ∥v∥2≤CP∥v∥V. (Stokes velocity and pressure spaces and weak forms, Zero mean of the divergence of a zero-boundary field, The Poincare inequality for zero-boundary Sobolev closures on domains bounded in one direction)

[F3]

The real skew form is trilinear and its two bounds in the Statement hold. In d=3 the L6 estimate uses the zero-boundary Sobolev inequality at exponent p=2. In d=2 it uses that inequality at exponent p=3/2, whose Sobolev conjugate is 6, followed by finite-measure Holder to bound the L3/2 gradient norm by the L2 gradient norm. Thus the same V↪L6 bound is available in both dimensions; no d=2,p=2 critical-exponent formula is used. (The skew convective form for incompressible flow, Continuity, energy cancellation, and Sobolev bounds for skew convection, The Sobolev inequality for zero-boundary Sobolev closures on open sets, Holder's inequality for integrals, including the endpoint cases)

[F4]

There is a bounded linear B:Q→V with div⁡Bq=q and ∥Bq∥V≤Cdiv∥q∥2; this applies to the stated bounded connected Lipschitz domain in dimensions two and three. (Divergence right inverse on bounded connected Lipschitz domains)

[F5]

Strongly measurable functions with integrable norm have Bochner integrals; the norm of an integral is at most the integral of the norm, bounded linear maps commute with integration, and scalar Fubini applies to the integrable functions used below. (Bochner-integrable function, Strongly measurable Banach-valued function, Bochner integrability criterion, Bochner integral norm inequality, Bounded linear maps commute with Bochner integration, Fubini's theorem for L^1 functions on a sigma-finite product)

[F6]

Scalar weak equations with an L1 derivative have absolutely-continuous representatives and obey the fundamental theorem; locally integrable functions that define the zero distribution vanish almost everywhere. Distributional derivatives use the negative test-derivative convention. (One-dimensional W1,p functions have unique absolutely continuous representatives, Fundamental theorem of calculus for absolutely continuous functions, Locally integrable functions embed in distributions, Distributional derivative, A countable union of measure-zero sets has measure zero, by countable choice)

[F7]

L2(D) is a separable real Hilbert space. Its closed mean-zero subspace Q and the closed subspace Hσ are Hilbert; a closed-subspace orthogonal projection exists, and Riesz represents bounded real-linear functionals on Q. The Hilbert space Q and L2(0,T;Q) are separable, and bounded sequences in the latter have weakly convergent subsequences under Countable Choice. (L2 with the integral pairing is a Hilbert space, Rational box-step functions form a countable dense subset of Lp(Rn) for 1≤p<∞, Separability: the existence of an at most countable dense subset, Orthogonal decomposition by a closed subspace, Riesz representation for Hilbert spaces, Bounded sequences in a separable Hilbert space have weakly convergent subsequences)

[F8]

The mixed MINI scheme holds on all Vh tests; its energy theorem gives uniform velocity and gradient bounds and a jump-square bound. The MINI Fortin map preserves the pressure pairing, is uniformly V-stable, approximates each fixed V vector in V, and the discrete L2 projector onto Zh is best-approximating. (The mixed mini-element backward Euler Navier–Stokes scheme, Backward Euler MINI step existence and discrete energy bound, Uniform Fortin stability of the mini element, The mini-element Fortin map approximates in L2, Discrete Helmholtz projection and pressure Schur identities)

[F9]

On the subsequence in the Statement, the piecewise-constant velocities converge strongly in L2(0,T;L2) and weakly in L2(0,T;V) to u. The cell averages of f converge strongly in L2(0,T;L2). (MINI backward Euler converges subsequentially to a solenoidal energy weak velocity, Time translations and mollification in Bochner Lp)

[F10]

An L4/3(0,T;V∗) residual that annihilates Vσ outside one common null set has a unique representing pressure in L4/3(0,T;Q). (Mean-zero pressure recovery from a solenoidal residual)

Proof

technique · direct
1.1A1F1givenchoose

The weakly continuous representative of u obeys ∥u(t)∥2≤U for every t∈[0,T]. Indeed, if ∥u(t0)∥2>U, take w=u(t0)/∥u(t0)∥2∈Hσ. Weak continuity makes (u(t),w) continuous and greater than U on a relative neighborhood of t0 with positive time measure, contradicting the essential bound U.

1.2A1F1F2F3F5givenconstruct

Define g(t)∈V∗ by g(t)(v)=(f(t),v)2−aν(u(t),v)−c(u(t);u(t),v). The first two terms are strongly measurable bounded linear images of Bochner functions; the last is a continuous quadratic map V→V∗ by the trilinear bound in [F3], hence is strongly measurable. Poincare and [F3] give ∥g(t)∥V∗≤CP∥f(t)∥2+2ν∥u(t)∥V+Cc∥u(t)∥21/2∥u(t)∥V3/2. Holder makes g∈L4/3(0,T;V∗)⊂L1(0,T;V∗) and yields ∥g∥L1V∗≤CPTF+2νTE+CcT1/4U1/2E3/2.

1.3F2F3F5F8givenalgebra

For a mixed MINI solution define u^h by affine interpolation of the velocity nodes and let bars denote right-constant reconstructions. On each time cell, ∂tPh=p‾h and ∂tu^h=Dτuhn. Integrating the discrete equation over complete or partial cells gives, for every t and vh∈Vh, (u^h(t)−uh0,vh)2+∫0t(aν(u‾h,vh)+c(u‾h;u‾h,vh)) ds+b(vh,Ph(t))=∫0t(fh,vh)2 ds. Because Ph(t)∈Qh, the uniform inf-sup estimate applies. Convexity gives ∥u^h(t)∥2≤Uh; [F2], Holder, and [F3] bound the mass, force, viscosity and convection terms by 2CPUh, CPTF, 2νTEh, and CcT1/4Uh1/2Eh3/2 times ∥vh∥V. This proves the displayed uniform primitive bound.

1.4A1F8givenchoose

Let uh,j0=PZju0. For any ϵ>0, choose v∈Vσ with ∥u0−v∥2<ϵ; the Fortin map satisfies Πjv∈Zj and ∥Πjv−v∥2→0. Best approximation of the orthogonal projector gives ∥uh,j0−u0∥2≤∥Πjv−u0∥2≤∥Πjv−v∥2+ϵ. Letting j→∞ and then ϵ↓0 proves uh,j0→u0 strongly.

2.1F5step 1.2construct

Set G(t)=∫0tg(s) ds. By [F5], G is norm-continuous in V∗, G(0)=0, and sup⁡t∥G(t)∥V∗≤∥g∥L1V∗.

2.2A1F7F8step 1.3construct

The energy theorem [F8] gives ∑n∥uh,jn−uh,jn−1∥22≤C uniformly. Therefore ∥u^h,j−u‾h,j∥L2L22=13∑nτnj∥uh,jn−uh,jn−1∥22≤Cτmax⁡,j⟶0. The pressure bound in step 1.3 is uniform in j, so (Ph,j) is bounded in the separable Hilbert space L2(0,T;Q). By [A1] and [F7], a further subsequence converges weakly to some P∗∈L2(0,T;Q). If K is the uniform L∞Q bound and Aϵ={t:∥P∗(t)∥2>K+ϵ} had positive measure, testing weak convergence against 1AϵP∗ gives ∫Aϵ∥P∗(t)∥22 dt=lim⁡j∫Aϵ(Ph,j(t),P∗(t))2 dt≤K∫Aϵ∥P∗(t)∥2 dt. The left side is at least (K+ϵ)∫Aϵ∥P∗(t)∥2 dt, a contradiction. Hence every Aϵ is null and P∗∈L∞Q with bound K.

2.3A1F1F5F6F7step 1.2construct

Conversely suppose the actual utfull is represented in L4/3(0,T;V∗) and set r=g−utfull. For each z∈Vσ, the scalar weak equation [F1] gives r(t)(z)=0 as a time distribution. The space V is separable: with its equivalent full H1 norm it embeds isometrically into a finite product of scalar L2(D) spaces by listing each velocity component and its first derivatives; restricting rational-box step functions makes that product separable. The subspace Vσ=ker⁡div⁡ is closed, hence separable (a countable base for the ambient metric space restricts to a countable base on Vσ, and Countable Choice selects one point from each nonempty base member). For a countable dense family (zk) in Vσ, each scalar r(⋅)(zk)∈L1(0,T) is zero almost everywhere by [F6]; outside the countable union of these null sets, continuity of r(t)∈V∗ makes it vanish on all of Vσ.

3.1F1F2F7step 2.1construct

For every t, define the full-test residual R(t)∈V∗ by R(t)(v)=G(t)(v)−(u(t)−u0,v)2. This functional is bounded with ∥R(t)∥V∗≤CP(U+∥u0∥2)+∥g∥L1V∗. For each fixed v∈V, the scalar map t↦R(t)(v) is continuous: orthogonally project v onto the closed subspace Hσ; since u(t)∈Hσ, its pairing with v equals its pairing with that projection and is continuous by [F1].

3.2F3F8F9step 2.2algebra

For the convergence of convection, use the separate Sobolev routes in [F3]: H01↪L6 by the p=2 Sobolev exponent in dimension three, and by the p=3/2 inequality plus finite-measure Holder in dimension two. Interpolation gives ∥w∥L2L3≤∥w∥L2L21/2∥w∥L2L61/2 and ∥w∥L2L4≤∥w∥L2L21/4∥w∥L2L63/4. The energy bounds give uniform L2L6 norms, while strong L2L2 convergence in [F9] therefore implies strong L2L3 and L2L4 convergence. For fixed v∈V, the gradient term in the skew form pairs weakly convergent gradients with u‾h,j⊗v converging strongly in L2L2; its other term pairs ∇v with u‾h,j⊗u‾h,j converging strongly in L1L2, since ∥u‾h,j⊗u‾h,j−u⊗u∥L1L2≤(∥u‾h,j∥L2L4+∥u∥L2L4)∥u‾h,j−u∥L2L4→0. Replacing v by Πjv changes the integral by at most C∥Πjv−v∥V∥u‾h,j∥L2V2, which tends to zero. No divergence-free property of the test v is used.

4.1F1F5F6step 1.2step 3.1

Fix z∈Vσ. The scalar weak equation [F1] says that (u(t),z)2 has distributional derivative g(t)(z) and initial trace (u0,z)2. Since g(z)∈L1, [F6] gives an absolutely-continuous representative equal to (u0,z)2+G(t)(z). Weak continuity in [F1] identifies that representative with (u(t),z)2 for every t. Hence R(t)(z)=0 for every z∈Vσ and every t, and R(0)=0.

5.1F4F5F7step 3.1step 4.1construct

For each t, the map q↦−R(t)(Bq) is a bounded real-linear functional on Q of norm at most Cdiv∥R(t)∥V∗. Riesz representation [F7] therefore defines a unique P(t)∈Q by (P(t),q)2=−R(t)(Bq) for all q∈Q. The uniform bound from step 3.1 gives the stated L∞Q estimate. For fixed q, t↦(P(t),q)2=−R(t)(Bq) is continuous, so P∈Cw([0,T];Q) and P(0)=0. Choose a countable orthonormal basis of the separable Hilbert space Q. Each finite-coordinate projection of P is strongly measurable because its coordinates are continuous; the projections converge in norm to P(t) at every t. Thus P is strongly measurable and belongs to L∞(0,T;Q).

6.1F2F4step 4.1step 5.1algebra

For v∈V, let q=div⁡v∈Q by [F2]. Then v−Bq∈Vσ, so step 4.1 gives R(t)(v)=R(t)(Bq)=−(P(t),q)2=b(v,P(t)). Substitution of the definition of R proves the integrated identity for every t and v. If P1,P2 both satisfy it, set v=Bq for arbitrary q∈Q to obtain (P1(t)−P2(t),q)2=0 for every q, hence P1(t)=P2(t).

7.1F2F5step 6.1construct

The formula ⟨p,η⟩=−∫0TP(t)η′(t) dt defines a continuous Q-valued distribution because its norm is bounded by ∥P∥L∞Q∥η′∥L1. Differentiating step 6.1 against scalar tests gives ut+aν(u,⋅)+c(u;u,⋅)+b(⋅,p)=f in V∗-valued distributions. If another Q-valued distribution has this property, test the difference against Bq for each q∈Q; since div⁡Bq=q, the Q inner product of the difference with every q vanishes, so the difference is zero.

7.2F5F7F8F9step 6.1step 1.3step 1.4step 2.2step 3.2

Fix v∈V and η∈Cc∞(0,T). Test the integrated identity of step 1.3 with Πjv and integrate in t against η. Scalar Fubini rewrites each primitive integral using the bounded weight s↦∫sTη(t) dt. Strong convergence of u^h,j from [F9] and step 2.2, strong convergence of initial projections from step 1.4, weak L2V convergence from [F9], convergence of force averages from [F9], Fortin convergence Πjv→v in V, the convection convergence in step 3.2, and weak convergence Ph,j⇀P∗ pass every term to the limit. In the pressure term, weak convergence of Ph,j is paired with the strongly convergent tests η div⁡Πjv→η div⁡v in L2(0,T;Q). The result is the continuous integrated identity of step 6.1 with P∗ in place of P, as a scalar time distribution.

8.1F1F2F5F6step 6.1step 7.1algebra

For fixed v∈V, step 6.1 says (u(t),v)2+b(v,P(t))=(u0,v)2+∫0tg(s)(v) ds. The right side is absolutely continuous. Multiply this scalar identity by a C1 time function vanishing near T and integrate by parts; for a finite sum of tests φ(t)=∑k=1mηk(t)vk this gives the stated initial-trace formula. Such finite sums are dense in C1([0,T];V) for tests vanishing near T: since φ vanishes on a terminal interval, so does φ′. On successively finer partitions, piecewise-linear interpolation of this uniformly continuous derivative has finite-dimensional range, converges uniformly to φ′, and remains zero on a terminal interval. Write an interpolant as ∑k=1mχk(t)vk with fixed vk∈V and continuous piecewise-linear scalar functions χk. Then φm(t)=−∑k=1m(∫tTχk(s) ds)vk is a finite sum with C1 scalar coefficients, vanishes near T, and converges to φ in C1. Every term in the weak-form identity is continuous in that norm by [F1]–[F5], so the identity extends to every stated φ.

8.2F4F5F6F7step 6.1step 7.1step 7.2algebra

Subtract step 6.1 from the limit identity in step 7.2 and set v=Bq for each q∈Q. Then (P∗−P,q)2=0 as a scalar time distribution. Since P∗−P∈L2(0,T;Q) and Q has a countable dense subset, [F6] and the countable-union result make P∗=P almost everywhere. For η∈Cc∞(0,T), the identity ∂tPh,j=p‾h,j gives ∫0T(p‾h,j,q)2η dt=−∫0T(Ph,j,q)2η′ dt⟶−∫0T(P,q)2η′ dt=(⟨p,η⟩,q)2. This is the claimed weak convergence as Q-valued time distributions.

8.3F2F5step 1.2step 7.1

To prove the forward direction of the instantaneous-pressure criterion, suppose p∈L4/3(0,T;Q). The full equation in step 7.1 gives utfull=g−b(⋅,p) as a V∗-valued distribution. Since ∣div⁡v∣≤d ∣∇v∣, the map q↦b(⋅,q) is bounded from Q to V∗; [F5] therefore makes b(⋅,p) Bochner L4/3V∗. As g∈L4/3V∗ by step 1.2, the actual full derivative has that same regularity.

9.1F2F4F10step 7.1step 2.3∎

The continuous residual-recovery lemma [F10] applies to r∈L4/3(0,T;V∗) and gives ps∈L4/3(0,T;Q) with r(t)(v)=b(v,ps(t)) for all v∈V almost everywhere. Thus ps is a full pressure distribution for u. Uniqueness in step 7.1 identifies ps with p, proving the reverse direction. Therefore the exact necessary-and-sufficient condition is the stated regularity of the actual full derivative.

Remarks

The source's pressure-free weak formulation and the primitive conclusions above do not establish the stronger PE06 instantaneous pressure regularity or instantaneous smooth pressure-error rate. The derivative criterion isolates the actual missing continuous input; an extension of ut known only on Vσ is not that input.

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