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Uniform convergence of local multigrid methodsfor the time-harmonic Maxwell equation∗

Published online by Cambridge University Press:  31 July 2012

Huangxin Chen ,
Ronald H.W. Hoppe  and
Xuejun Xu
Huangxin Chen
Affiliation:
LSEC, Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, P.O. Box 2719, Beijing 100190, P.R. China. [email protected]
Ronald H.W. Hoppe
Affiliation:
Department of Mathematics, University of Houston, Houston, 77204-3008 TX, USA; [email protected] Institute for Mathematics, University of Augsburg, 86159 Augsburg, Germany
Xuejun Xu
Affiliation:
LSEC, Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, P.O. Box 2719, Beijing 100190, P.R. China; [email protected]
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Abstract

For the efficient numerical solution of indefinite linear systems arising from curl conforming edge element approximations of the time-harmonic Maxwell equation, we consider local multigrid methods (LMM) on adaptively refined meshes. The edge element discretization is done by the lowest order edge elements of Nédélec’s first family. The LMM features local hybrid Hiptmair smoothers of Jacobi and Gauss–Seidel type which are performed only on basis functions associated with newly created edges/nodal points or those edges/nodal points where the support of the corresponding basis function has changed during the refinement process. The adaptive mesh refinement is based on Dörfler marking for residual-type a posteriori error estimators and the newest vertex bisection strategy. Using the abstract Schwarz theory of multilevel iterative schemes, quasi-optimal convergence of the LMM is shown, i.e., the convergence rates are independent of mesh sizes and mesh levels provided the coarsest mesh is chosen sufficiently fine. The theoretical findings are illustrated by the results of some numerical examples.

Keywords

Maxwell equationsNédélec edge elementsindefinitemultigrid methodslocal Hiptmair smoothersadaptive edge finite element methodsoptimality
Type
Research Article
Information
ESAIM: Mathematical Modelling and Numerical Analysis , Volume 47 , Issue 1 , January 2013 , pp. 125 - 147
Copyright
© EDP Sciences, SMAI, 2012

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