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Convergence analysis for finite element discretizations of the Helmholtz equation with Dirichlet-to-Neumann boundary conditions


Melenk, J M; Sauter, S (2010). Convergence analysis for finite element discretizations of the Helmholtz equation with Dirichlet-to-Neumann boundary conditions. Mathematics of Computation, 79(272):1871-1914.

Abstract

A rigorous convergence theory for Galerkin methods for a model Helmholtz problem in $\Bbb R^d, d \in \{1,2,3\}$ is presented. General conditions on the approximation properties of the approximation space are stated that ensure quasi-optimality of the method. As an application of the general theory, a full error analysis of the classical $hp$-version of the finite element method is presented for the model problem where the dependence on the mesh width $h,$ the approximation order $p,$ and the wave number $k$ is given explicitly. In particular, it is shown that quasi-optimality is obtained under the conditions that $kh/p$ is sufficiently small and the polynomial degree $p$ is at least $O(\log k).$

Abstract

A rigorous convergence theory for Galerkin methods for a model Helmholtz problem in $\Bbb R^d, d \in \{1,2,3\}$ is presented. General conditions on the approximation properties of the approximation space are stated that ensure quasi-optimality of the method. As an application of the general theory, a full error analysis of the classical $hp$-version of the finite element method is presented for the model problem where the dependence on the mesh width $h,$ the approximation order $p,$ and the wave number $k$ is given explicitly. In particular, it is shown that quasi-optimality is obtained under the conditions that $kh/p$ is sufficiently small and the polynomial degree $p$ is at least $O(\log k).$

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:510 Mathematics
Scopus Subject Areas:Physical Sciences > Algebra and Number Theory
Physical Sciences > Computational Mathematics
Physical Sciences > Applied Mathematics
Language:English
Date:27 April 2010
Deposited On:09 Mar 2011 15:50
Last Modified:06 Dec 2023 02:38
Publisher:American Mathematical Society
ISSN:0025-5718
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1090/S0025-5718-10-02362-8