A Posteriori Modelling-Discretization Error Estimate for Elliptic Problems with L ∞-Coefficients

Abstract
We consider elliptic problems with complicated, discontinuous diffusion tensor A0. One of the standard approaches to numerically treat such problems is to simplify the coefficient by some approximation, say Aε, and to use standard finite elements. In [19] a combined modelling-discretization strategy has been proposed which estimates the discretization and modelling errors by a posteriori estimates of functional type. This strategy allows to balance these two errors in a problem adapted way. However, the estimate of the modelling error is derived under the assumption that the difference A0 − Aε is bounded in the L∞-norm, which requires that the approximation of the coefficient matches the discontinuities of the original coefficient. Therefore this theory is not appropriate for applications with discontinuous coefficients along complicated, curved interfaces. Based on bounds for A0 − Aε in an L q -norm with q < ∞ we generalize the combined modelling-discretization strategy to a larger class of coefficients.
Main Authors
Format
Articles Research article
Published
2017
Series
Subjects
Publication in research information system
Publisher
Walter de Gruyter GmbH
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201712114606Käytä tätä linkitykseen.
Review status
Peer reviewed
ISSN
1609-4840
DOI
https://doi.org/10.1515/cmam-2017-0015
Language
English
Published in
Computational Methods in Applied Mathematics
Citation
  • Weymuth, M., Sauter, S., & Repin, S. (2017). A Posteriori Modelling-Discretization Error Estimate for Elliptic Problems with L ∞-Coefficients. Computational Methods in Applied Mathematics, 17(3). https://doi.org/10.1515/cmam-2017-0015
License
Open Access
Copyright© 2017 Walter de Gruyter GmbH, Berlin/Boston. This is a final draft version of an article whose final and definitive form has been published by de Gryuter. Published in this repository with the kind permission of the publisher.

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