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Equivalence of local- and global-best approximations, a simple stable local commuting projector, and optimal hp approximation estimates in H(div)

Ern, A and Gudi, T and Smears, I and Vohralík, M (2022) Equivalence of local- and global-best approximations, a simple stable local commuting projector, and optimal hp approximation estimates in H(div). In: IMA Journal of Numerical Analysis, 42 (2). pp. 1023-1049.

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Official URL: https://doi.org/10.1093/imanum/draa103

Abstract

Given an arbitrary function in \boldsymbolH(øperatornamediv), we show that the error attained by the global-best approximation by \boldsymbolH(øperatornamediv)-conforming piecewise polynomial Raviart-Thomas-Nédélec elements under additional constraints on the divergence and normal flux on the boundary is, up to a generic constant, equivalent to the sum of independent local-best approximation errors over individual mesh elements, without constraints on the divergence or normal fluxes. The generic constant only depends on the shape-regularity of the underlying simplicial mesh, the space dimension, and the polynomial degree of the approximations. The analysis also gives rise to a stable, local, commuting projector in \boldsymbolH(øperatornamediv), delivering an approximation error that is equivalent to the local-best approximation. We next present a variant of the equivalence result, where robustness of the constant with respect to the polynomial degree is attained for unbalanced approximations. These two results together further enable us to derive rates of convergence of global-best approximations that are fully optimal in both the mesh size h and the polynomial degree p, for vector fields that only feature elementwise the minimal necessary Sobolev regularity. We finally show how to apply our findings to derive optimal a priorihp-error estimates for mixed and least-squares finite element methods applied to a model diffusion problem. © 2021 The Author(s) 2021. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.

Item Type: Journal Article
Publication: IMA Journal of Numerical Analysis
Publisher: Oxford University Press
Additional Information: The copyright for this article belongs to the Authors.
Keywords: Errors; Finite element method; Mesh generation; Polynomial approximation; Sobolev spaces, A priori error estimate; Best approximations; Commuting projector; H (div) sobolev space; Least-squares- methods; Localisation; Minimal regularity; Mixed finite element methods; Nedelec space; Optimal error bound; Piecewise polynomials; Priori error estimate; Raviart-Thomas; Raviart-thomas-nedelec space, Least squares approximations
Department/Centre: Division of Physical & Mathematical Sciences > Mathematics
Date Deposited: 27 May 2022 05:49
Last Modified: 27 May 2022 05:49
URI: https://eprints.iisc.ac.in/id/eprint/72739

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