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Mathematics of Computation

Published by the American Mathematical Society, the Mathematics of Computation (MCOM) is devoted to research articles of the highest quality in all areas of pure and applied mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.98.

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On the convergence of a two-level preconditioned Jacobi–Davidson method for eigenvalue problems
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by Wei Wang and Xuejun Xu HTML | PDF
Math. Comp. 88 (2019), 2295-2324 Request permission

Abstract:

In this paper, we shall give a rigorous theoretical analysis of the two-level preconditioned Jacobi–Davidson method for solving the large scale discrete elliptic eigenvalue problems, which was essentially proposed by Zhao, Hwang, and Cai in 2016. Focusing on eliminating the error components in the orthogonal complement space of the target eigenspace, we find that the method could be extended to the case of the $2m$th order elliptic operator ($m=1,2$). By choosing a suitable coarse space, we prove that the method holds a good scalability and we obtain the error reduction $\gamma =c(1-C\frac {\delta ^{2m-1}}{H^{2m-1}})$ in each iteration, where $C$ is a constant independent of the mesh size $h$ and the diameter of subdomains $H$, $\delta$ is the overlapping size among the subdomains, and $c\rightarrow 1$ decreasingly as $H\rightarrow 0$. Moreover, the method does not need any assumption between $H$ and $h$. Numerical results supporting our theory are given.
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Additional Information
  • Wei Wang
  • Affiliation: Beijing Computational Science Research Center, Beijing 100193, People’s Republic of China; and LSEC, Institute of Computational Mathematics, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, P.O. Box 2719, Beijing 100190, People’s Republic of China
  • Email: ww@csrc.ac.cn
  • Xuejun Xu
  • Affiliation: School of Mathematical Sciences, Tongji University, Shanghai 200442, People’s Republic of China; and LSEC, Institute of Computational Mathematics, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, P.O. Box 2719, Beijing 100190, People’s Republic of China
  • MR Author ID: 365400
  • Email: xxj@lsec.cc.ac.cn
  • Received by editor(s): May 8, 2018
  • Received by editor(s) in revised form: August 25, 2018, and September 5, 2018
  • Published electronically: December 20, 2018
  • Additional Notes: The work of the first author was supported by the National Natural Science Foundation of China (Grant No. U1530401).
    The work of the second author was supported by the National Natural Science Foundation of China (Grant No. 11671302).
  • © Copyright 2018 American Mathematical Society
  • Journal: Math. Comp. 88 (2019), 2295-2324
  • MSC (2010): Primary 65N30, 65N55
  • DOI: https://doi.org/10.1090/mcom/3403
  • MathSciNet review: 3957894