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Numerical approximation of poisson problems in long domains

Chipot, Michel; Hackbusch, Wolfgang; Sauter, Stefan; Veit, Alexander (2022). Numerical approximation of poisson problems in long domains. Vietnam Journal of Mathematics, 50(2):375-393.

Abstract

In this paper, we consider the Poisson equation on a “long” domain which is the Cartesian product of a one-dimensional long interval with a (d − 1)-dimensional domain. The right-hand side is assumed to have a rank-1 tensor structure. We will present and compare methods to construct approximations of the solution which have tensor structure and the computational effort is governed by only solving elliptic problems on lower-dimensional domains. A zero-th order tensor approximation is derived by using tools from asymptotic analysis (method 1). The resulting approximation is an elementary tensor and, hence has a fixed error which turns out to be very close to the best possible approximation of zero-th order. This approximation can be used as a starting guess for the derivation of higher-order tensor approximations by a greedy-type method (method 2). Numerical experiments show that this method is converging towards the exact solution. Method 3 is based on the derivation of a tensor approximation via exponential sums applied to discretized differential operators and their inverses. It can be proved that this method converges exponentially with respect to the tensor rank. We present numerical experiments which compare the performance and sensitivity of these three methods.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:340 Law
610 Medicine & health
510 Mathematics
Scopus Subject Areas:Physical Sciences > General Mathematics
Uncontrolled Keywords:General Mathematics
Language:English
Date:1 April 2022
Deposited On:25 Aug 2021 12:50
Last Modified:25 Dec 2024 02:40
Publisher:Springer
ISSN:2305-221X
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1007/s10013-021-00512-9
Project Information:
  • Funder: Max Planck Institute for Mathematics in the Sciences
  • Grant ID:
  • Project Title:
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  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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