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Uniform mini-element stability through the incompressible limit

Statement

Assume Countable Choice and the model and mixed conventions of Linear isotropic elasticity: displacement form and data and Displacement-pressure formulation and mini-element pair. Let D be bounded, connected, and Lipschitz, d∈{2,3}, 0<μ0≤μ≤μ1, and f∈V′. For every λ∈[0,∞] the continuous problem has a unique solution; at λ=0 use the primal problem and set p0=0, while at λ=∞ impose div⁡u=0. If D is polygonal or polyhedral and {Th} is any conforming shape-regular affine simplicial mesh family with a common shape-regularity bound, the mini-element discrete problem has a unique solution for every h and every λ∈[0,∞], with ph,0=0. There is a constant C depending only on d,D,μ0,μ1 and the common shape-regularity bound, but independent of λ and h, such that ∥uλ∥V+∥pλ∥Q≤C∥f∥V′,∥uλ−uh,λ∥V+∥pλ−ph,λ∥Q≤Cinf⁡vh∈Vh, qh∈Qh(∥uλ−vh∥V+∥pλ−qh∥Q). At λ=∞ the constraint is div⁡u=0. The estimate makes no heterogeneous-coefficient robustness claim beyond the displayed dependence.

Facts & Assumptions

Given: Countable Choice; the real spaces V=H01(D;Rd) and Q=L02(D); μ0,μ1 and μ; f∈V′; and, for the discrete conclusions, nonempty conforming shape-regular affine simplicial meshes and the mini-element spaces.

[A1]

Countable Choice is assumed in the Hilbert-space completion, Lax–Milgram, and continuous Babuška–Brezzi branches; no full Axiom of Choice is used. (The Axiom of Countable Choice (ACω))

[F1]

The spaces, norms, strain, and sign convention are V=H01(D;Rd), Q=L02(D), ∥v∥V=∥∇v∥2, and b(v,q)=−(q,div⁡v). (Linear isotropic elasticity: displacement form and data, Displacement-pressure formulation and mini-element pair)

[F2]

Every v∈V has div⁡v∈Q. (Zero mean of the divergence of a zero-boundary field)

[F3]

The homogeneous Dirichlet identity is 2∥ε(v)∥22=∥∇v∥22+∥div⁡v∥22. (The homogeneous Dirichlet strain identity)

[F4]

The continuous inf-sup constant of b is at least Cdiv(D)−1>0. (Continuous Stokes divergence inf-sup on a Lipschitz domain)

[F5]

For the mini-element family, βh≥(CFCdiv(D))−1>0 with CF depending only on dimension and the common shape-regularity bound. (Uniform Fortin stability of the mini element)

[F6]

On real Hilbert spaces, bounded a,b, coercivity on ker⁡B, and a positive inf-sup constant give unique mixed solvability; when Q≠{0} the theorem also assumes V≠{0}. (Babuska-Brezzi solvability by kernel coercivity and inf-sup)

[F7]

For every finite λ≥0, the primal problem has a unique solution and ∥uλ∥V≤μ0−1∥f∥V′. (Dirichlet elasticity energy bound and Galerkin estimate)

[F8]

Under Countable Choice, H1(D) and L2(D) are Hilbert; H01(D) is closed, and Poincaré makes the gradient norm complete on it. (The Sobolev space H1 is a Hilbert space, L2 with the integral pairing is a Hilbert space, Zero-boundary Sobolev space as a norm closure, A bounded-domain Poincare inequality for H1-zero fields)

[F9]

The L2 Cauchy–Schwarz inequality gives ∣(g,h)L2∣≤∥g∥2∥h∥2. (Cauchy-Schwarz inequality for L2)

[F10]

For finite λ>0, p=−λdiv⁡u lies in the mean-zero pressure space Q. (The mixed pressure has the mean-zero gauge)

Proof

1.1givenF1F3F9algebra

The pointwise bounds ∣ε(v)∣F≤∣∇v∣F and ∣div⁡v∣≤d∣∇v∣F, together with [F9], give ∣aμ(u,v)∣≤2μ1∥u∥V∥v∥V and ∣b(v,q)∣≤d∥v∥V∥q∥Q. By [F3], aμ(v,v)≥2μ0∥ε(v)∥22≥μ0∥v∥V2.

1.2A1F8F9givenconstruct

The space V is a closed subspace of H1(D;Rd) and its gradient norm is equivalent to the H1 norm by [F8]; Q is the closed kernel of the bounded integral functional on L2(D). Thus both are real Hilbert spaces under [A1]. Also Q≠{0}: two disjoint positive-measure balls inside D give a nonzero difference of indicator functions with zero integral. And V≠{0}: choose a ball B(x0,r) with closure in D and set ϕ(x)=exp⁡(−1/(r2−∣x−x0∣2)) inside it and zero outside. Its derivatives vanish at the sphere, so ϕ∈Cc∞(D) is nonzero and (ϕ,0,…,0)∈V.

1.3A1F2F7F10givenalgebra

For finite λ>0, take the primal solution from [F7] and set pλ=−λdiv⁡uλ. By [F2, F10], pλ∈Q. Then aμ(uλ,v)+b(v,pλ)=aμ(uλ,v)+λ(div⁡uλ,div⁡v)=f(v), while b(uλ,q)−λ−1(pλ,q)=−(div⁡uλ,q)+(div⁡uλ,q)=0. Conversely, any mixed solution has s=div⁡u+λ−1p∈Q by [F2]; its second equation gives (s,q)=0 for every q∈Q, hence s=0 by choosing q=s. It therefore solves the unique primal equation and has the same pressure.

2.1A1F1F4F6step 1.1step 1.2

At λ=0, use the primal solution and set p0=0 by convention. At λ=∞, apply [F6] to V,Q, a=aμ, and b with G=0: [F1] and step 1.1 give bounded forms, step 1.1 gives coercivity on all of V, [F4] gives the inf-sup bound, and step 1.2 gives real Hilbert spaces with both V,Q nonzero. This yields a unique mean-zero pair (u∞,p∞).

2.2A1F5step 1.1givenalgebra

For each discrete pair, [F5] supplies a positive βh bounded below independently of h. For finite λ>0 or λ=∞, write c=λ−1≥0, with c=0 at infinity. A homogeneous discrete mixed solution (wh,rh) satisfies aμ(wh,vh)+b(vh,rh)=0 and b(wh,qh)−c(rh,qh)=0. Test with vh=wh and qh=rh and subtract the second equality from the first to get aμ(wh,wh)+c∥rh∥Q2=0. Step 1.1 forces wh=0, and then discrete inf-sup forces rh=0. The square finite-dimensional block matrix is injective, hence bijective, so the discrete system has a unique solution for every right-hand side.

2.3F4F5step 1.1algebra

The same stability estimate applies to any solution of aμ(w,v)+b(v,r)=F(v), b(w,q)−c(r,q)=G(q) when the inf-sup constant is β>0. Put U=∥w∥V, P=∥r∥Q, F0=∥F∥V′, and G0=∥G∥Q′. Testing with v=w and q=r and subtracting gives μ0U2≤F0U+G0P. The first equation and inf-sup give βP≤F0+2μ1U. With S=F0+G0 and A=1+2μ1/β, substitution, using F0G0≤S2/4, yields μ0U2≤ASU+S2/(4β). Solving this quadratic gives U≤CUS, where CU=(A+A2+μ0/β)/(2μ0); then P≤CPS with CP=β−1(1+2μ1CU). Thus U+P≤C∗S for C∗=CU+CP, and these constants do not depend on c.

3.1A1F1F2F3F9step 1.3step 2.2construct

For 0<λ≤μ0, let Ph:Q→Qh be the L2-orthogonal projection. It exists uniquely: in a basis of the finite-dimensional Qh, its defining normal equations have the positive-definite Gram matrix ((qi,qj)), and orthogonality gives ∥p−Php∥Q=inf⁡qh∈Qh∥p−qh∥Q. The second mixed equation gives ph=−λPhdiv⁡uh. Hence the first is the symmetric discrete equation ah(uh,vh)=f(vh), where ah(w,v)=aμ(w,v)+λ(Phdiv⁡w,Phdiv⁡v). It is bounded by M0=2μ1+dμ0 and coercive by μ0.

4.1A1F1F2F9step 1.3step 2.2step 3.1algebra

For any wh∈Vh, subtract the equation for ah(wh,⋅) from the continuous primal equation. For every vh∈Vh this gives ah(uh−wh,vh)=ah(u−wh,vh)+λ((I−Ph)div⁡u,(I−Ph)div⁡vh). Since p=−λdiv⁡u, λ(I−Ph)div⁡u=−(I−Ph)p; orthogonal projection gives ∥I−Ph∥≤1, while ∥div⁡vh∥2≤d∥vh∥V, so Cauchy–Schwarz bounds the remainder by d∥p−Php∥Q∥vh∥V. Testing with vh=uh−wh and using coercivity yields the displacement estimate; if uh=wh it is immediate, and otherwise divide by μ0∥uh−wh∥V and take the infimum over wh: ∥u−uh∥V≤(1+M0μ0)inf⁡wh∈Vh∥u−wh∥V+dμ0inf⁡qh∈Qh∥p−qh∥Q. Moreover, p−ph=(I−Ph)p−λPhdiv⁡(u−uh), so ∥p−ph∥Q≤inf⁡qh∈Qh∥p−qh∥Q+μ0d∥u−uh∥V. Adding these bounds gives the claimed product-space best-approximation estimate with a constant depending only on d,μ0,μ1.

4.2A1F1F2F3F9step 1.3step 2.2step 3.1algebra

Testing the continuous primal equation with u and the equivalent discrete ah equation with uh, coercivity gives ∥u∥V,∥uh∥V≤μ0−1∥f∥V′. The pressure identities and λ≤μ0 then give ∥p∥Q≤λd∥u∥V≤d∥f∥V′ and ∥ph∥Q≤λd∥uh∥V≤d∥f∥V′.

5.1A1F4F5F7F9step 2.3step 4.1step 4.2algebra

For λ=0, [F7] gives the solution bounds and the displacement estimate with constant 2μ1/μ0; p0=ph,0=0. For 0<λ≤μ0, step 4.2 gives uniform solution bounds and step 4.1 the uniform best-approximation estimate. For λ≥μ0 or λ=∞, step 2.3 with the continuous inf-sup bound [F4] and discrete bound [F5] gives uniform solution bounds. For the same upper range, c=λ−1≤μ0−1 and ∣Aλ((u,p),(v,q))∣≤2μ1∥u∥V∥v∥V+d∥v∥V∥p∥Q+d∥u∥V∥q∥Q+μ0−1∥p∥Q∥q∥Q, so its product-space operator norm is at most M=2μ1+2d+μ0−1, independently of λ.

6.1A1F4F5step 1.3step 2.1step 2.2step 2.3step 4.1step 4.2step 5.1algebra∎

Write ∥(v,q)∥V×Q=∥v∥V+∥q∥Q. Let x=(u,p) be the continuous solution, xh=(uh,ph) its Galerkin solution, and fix yh=(vh,qh)∈Vh×Qh. Galerkin orthogonality gives Aλ(xh−yh,zh)=Aλ(x−yh,zh) for every zh=(wh,rh). Thus xh−yh solves the discrete mixed system with data Fh(wh)=Aλ(x−yh,(wh,0)) and Gh(rh)=Aλ(x−yh,(0,rh)). The bound on Aλ gives ∥Fh∥+∥Gh∥≤2M∥x−yh∥V×Q. Applying the stability bound of step 2.3 with β≥min⁡(Cdiv(D)−1,β∗)>0, then the triangle inequality and the infimum over yh, gives the required estimate with a constant at most 1+2MC∗. Combining this with steps 1.3–2.1, 2.2, 4.1–4.2, and 5.1 covers every λ∈[0,∞].

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