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Approximation by the MINI solenoidal energy projection

Statement

Assume Countable Choice and the MINI mesh hypotheses. For z∈Vσ, define Shz∈Zh by aν(Shz,wh)=aν(z,wh)(wh∈Zh). This defines a unique linear map, the restriction to Vσ of the aν-orthogonal projection V→Zh, and ∥z−Shz∥V≤2inf⁡wh∈Zh∥z−wh∥V. If additionally z∈H2(D)d and q∈H1(D)∩L02(D), then ∥z−Shz∥V≤C0(1+ν−1)h(∥z∥H2(D)+∥q∥H1(D)), where C0 is independent of h and ν and depends on D, shape regularity and the uniform MINI inf-sup constant.

Facts & Assumptions

Given: A bounded connected Lipschitz polyhedral domain, its shape-regular MINI mesh, z∈Vσ, and viscosity ν>0.

[F1]

Zh is a finite-dimensional subspace of V and aν is symmetric; Korn and ∣ε(w)∣≤∣∇w∣ give ν∥w∥V2≤aν(w,w)≤2ν∥w∥V2. (Weak and pointwise divergence-free discrete velocities, Stokes velocity and pressure spaces and weak forms, The homogeneous Dirichlet strain identity)

[F2]

Every bounded linear functional on a real Hilbert space has a unique Riesz representative. (Riesz representation for Hilbert spaces)

[F3]

For a continuous Stokes pair in H2(D)d×(H1(D)∩L02(D)), the MINI inf-sup and mixed Galerkin results apply, with discrete velocity in Zh; the Scott--Zhang interpolant has the stated H1 and pressure approximation bounds. (Uniform Fortin stability of the mini element, Mixed Galerkin error bound retaining beta_h, Mini-element H1 velocity and L2 pressure error estimate, Boundary-preserving face-average P1 interpolation, Weak and pointwise divergence-free discrete velocities)

[A1]

Countable Choice is assumed as in the Stokes approximation and Hilbert representation inputs. (The Axiom of Countable Choice (ACω), Mini-element H1 velocity and L2 pressure error estimate)

Proof

1.1A1F1F2givenalgebra

For any z∈V, equip Zh with the inner product aν. It is positive definite by [F1]. The functional wh↦aν(z,wh) is bounded on this finite-dimensional Hilbert space, so [F2] gives a unique Shz∈Zh satisfying the displayed equation. Linearity follows from uniqueness and linearity of the right-hand side. For z∈Zh the equation gives Shz=z, so this extension to V is a projection. For any wh∈Zh, orthogonality gives aν(z−wh,z−wh)=aν(z−Shz,z−Shz)+aν(Shz−wh,Shz−wh). Using ν∥r∥V2≤aν(r,r)≤2ν∥r∥V2 yields the stated best-approximation bound.

2.1F3step 1.1algebra∎

Let F(v)=aν(z,v)+b(v,q) for v∈V. It is bounded on V, and b(z,r)=0 for every r∈Q because z∈Vσ; hence (z,q) solves the continuous Stokes problem with data (F,0). Let wh=Ihz and rh=Ihq−∣D∣−1∫DIhq. By [F3], wh∈Vh, rh∈Qh, and δu:=∥z−wh∥V≤Ch∥z∥H2, δq:=∥q−rh∥Q≤Ch∥q∥H1. The MINI mixed problem has a solution (zh,qh) with zh∈Zh. Its inf-sup constant satisfies βh−1≤C independently of h and ν, while Ma=2ν, Mb=d, and α∗=ν. The mixed error formula therefore gives Rh≤Cδu and Uh=δu+ν−1{2ν(δu+Rh)+d δq}+Rh≤C(δu+ν−1δq). Step 1.1 with wh=zh now yields ∥z−Shz∥V≤2Uh≤C0(1+ν−1)h(∥z∥H2+∥q∥H1), with C0 independent of h and ν.

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