Stable multiscale bases and local error estimation for elliptic problems

authored by
Stephan Dahlke, Wolfgang Dahmen, Reinhard Hochmuth, Reinhold Schneider
Abstract

This paper is concerned with the analysis of adaptive multiscale techniques for the solution of a wide class of elliptic operator equations covering, in principle, singular integral as well as partial differential operators. The central objective is to derive reliable and efficient a-posteriori error estimators for Galerkin schemes which are based on stable multiscale bases. It is shown that the locality of corresponding multiresolution processes combined with certain norm equivalences involving weighted sequence norms of wavelet coefficients leads to adaptive space refinement strategies which are guaranteed to converge in a wide range of cases, again including operators of negative order.

External Organisation(s)
RWTH Aachen University
Freie Universität Berlin (FU Berlin)
Technische Universität Darmstadt
Type
Article
Journal
Applied numerical mathematics
Volume
23
Pages
21-47
No. of pages
27
ISSN
0168-9274
Publication date
02.1997
Publication status
Published
Peer reviewed
Yes
ASJC Scopus subject areas
Numerical Analysis, Computational Mathematics, Applied Mathematics
Electronic version(s)
https://doi.org/10.1016/S0168-9274(96)00060-8 (Access: Unknown)
 

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