A multigrid discretization scheme for the Steklov eigenproblem

In this paper, we discusses the finite element approximation for a Steklov eigenvalue problem. Based on the work of Armentano and Padra, we derive an a posteriori error estimate. By constructing auxiliary bubble functions and lifting operators, we prove the reliability and validity of the posterior error estimator. In addition, we verify the robustness of the posterior error estimator under the adaptive grid through numerical experiments.

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Publication Details

Journal
Journal of research in applied mathematics.
Published
2025-04-01
DOI
https://doi.org/10.35629/0743-11044252
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

A multigrid discretization scheme for the Steklov eigenproblem

Qiang Yang, Jun Lu
Journal of research in applied mathematics.
Advanced Numerical Methods in Computational Mathematics
article

A multigrid discretization scheme for the Steklov eigenproblem

Qiang Yang, Jun Lu
article en

Abstract

In this paper, we discusses the finite element approximation for a Steklov eigenvalue problem. Based on the work of Armentano and Padra, we derive an a posteriori error estimate. By constructing auxiliary bubble functions and lifting operators, we prove the reliability and validity of the posterior error estimator. In addition, we verify the robustness of the posterior error estimator under the adaptive grid through numerical experiments.

Journal of research in applied mathematics.Vol. 11(4)
Guizhou Normal University (CN)
Openalex Percentile: Top 89%
Advanced Numerical Methods in Computational Mathematics
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