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Erschienen in: Foundations of Computational Mathematics 5/2022

29.07.2021

Quasi-optimal Nonconforming Approximation of Elliptic PDEs with Contrasted Coefficients and \(H^{1+{r}}\), \({r}>0\), Regularity

verfasst von: Alexandre Ern, Jean-Luc Guermond

Erschienen in: Foundations of Computational Mathematics | Ausgabe 5/2022

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Abstract

In this paper, we investigate the approximation of a diffusion model problem with contrasted diffusivity for various nonconforming approximation methods. The essential difficulty is that the Sobolev smoothness index of the exact solution may be just barely larger than 1. The lack of smoothness is handled by giving a weak meaning to the normal derivative of the exact solution at the mesh faces. We derive robust and quasi-optimal error estimates. Quasi-optimality means that the approximation error is bounded, up to a generic constant, by the best approximation error in the discrete trial space, and robustness means that the generic constant is independent of the diffusivity contrast. The error estimates use a mesh-dependent norm that is equivalent, at the discrete level, to the energy norm and that remains bounded as long as the exact solution has a Sobolev index strictly larger than 1. Finally, we briefly show how the analysis can be extended to the Maxwell’s equations.

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Metadaten
Titel
Quasi-optimal Nonconforming Approximation of Elliptic PDEs with Contrasted Coefficients and , , Regularity
verfasst von
Alexandre Ern
Jean-Luc Guermond
Publikationsdatum
29.07.2021
Verlag
Springer US
Erschienen in
Foundations of Computational Mathematics / Ausgabe 5/2022
Print ISSN: 1615-3375
Elektronische ISSN: 1615-3383
DOI
https://doi.org/10.1007/s10208-021-09527-7

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