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Exact-geometry isogeometric Poisson Galerkin estimate

Statement

Assume Countable Choice. Let D⊂Rd, d∈{2,3}, be bounded, connected, and Lipschitz, and let V=H01(D;R) with norm ∥v∥V=∥∇v∥L2(D). Let A:D→Rd×d be measurable and symmetric, with constants 0<α≤β<∞ such that ζ⋅A(x)ζ≥α∣ζ∣2and∥A(x)∥op≤βfor a.e. x∈D, ζ∈Rd. For f∈V′, define a(u,v)=∫DA∇u⋅∇v and F(v)=f(v). Let Vh⊂V be any finite conforming isogeometric subspace on the exact admissible patch geometry. Then the weak problem and its Galerkin restriction have unique solutions u and uh, and ∥u−uh∥V≤βαinf⁡vh∈Vh∥u−vh∥V. This is an exact-form estimate; it makes no assertion about approximate geometry, quadrature, polynomial-degree-independent constants, or a rate without a separate numerator approximation theorem.

Facts & Assumptions

Given: Countable Choice; the bounded Lipschitz domain and scalar Sobolev space above; measurable symmetric coefficient A with the stated bounds; f∈V′; and finite conforming isogeometric Vh⊂V.

[A1]

The Axiom of Countable Choice (ACω) is used through the Hilbert-space and Céa suppliers in [F3]--[F4]; no stronger choice principle is required by this application.

[F1]

Conforming isogeometric Galerkin spaces and h/p/k refinement: the exact-geometry global trial space is finite dimensional, and its homogeneous-Dirichlet version is by definition a subspace of H01(D).

[F2]

Matching NURBS patch traces give global H1 conformity proves global H1 membership from matching full-face traces for the piecewise smooth fields used to construct multipatch spaces.

[F3]

The Sobolev space H1 is a Hilbert space and Zero-boundary Sobolev space as a norm closure: H01(D) is closed in the H1 Hilbert space under Countable Choice. The bounded-domain Poincaré inequality A bounded-domain Poincare inequality for H1-zero fields makes ∥∇⋅∥2 an equivalent Hilbert norm.

[F4]

Céa quasi-optimality for coercive conforming Galerkin problems under Countable Choice: for a Hilbert space, a bounded form constant M, coercivity constant α0>0, bounded data, and a finite-dimensional subspace, the continuous and discrete solutions are unique and the error is at most (M/α0) times best approximation.

Proof

1.1givenalgebra

The operator bound on A and Cauchy--Schwarz give ∣a(v,w)∣≤β∥v∥V∥w∥V. The lower coefficient bound gives a(v,v)≥α∥v∥V2. Hence a is bounded with M=β and coercive with α0=α.

2.1A1F1F2F3F4givenstep 1.1∎

By [F3], V with the gradient norm is a real Hilbert space. Its data functional F is bounded by the definition of V′, and Vh is finite dimensional and conforming by [F1] (with [F2] verifying the interface condition when needed). Thus all hypotheses of [F4] hold with M=β and α0=α. Applying [F4] gives both solutions and its estimate is exactly the displayed inequality. Its hypotheses concern the exact form only, so the conclusion carries no geometry or quadrature defect term and no approximation rate beyond the best-approximation infimum.

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