Computing Both Upper and Lower Eigenvalue Bounds by HDG Methods

Fuente: arXiv
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Auteurs principaux: Liang, Qigang, Xu, Xuejun, Yuan, Liuyao
Format: Preprint
Publié: 2024
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author Liang, Qigang
Xu, Xuejun
Yuan, Liuyao
author_facet Liang, Qigang
Xu, Xuejun
Yuan, Liuyao
contents In this paper, we observe an interesting phenomenon for a hybridizable discontinuous Galerkin (HDG) method for eigenvalue problems. Specifically, using the same finite element method, we may achieve both upper and lower eigenvalue bounds simultaneously, simply by the fine tuning of the stabilization parameter. Based on this observation, a high accuracy algorithm for computing eigenvalues is designed to yield higher convergence rate at a lower computational cost. Meanwhile, we demonstrate that certain type of HDG methods can only provide upper bounds. As a by-product, the asymptotic upper bound property of the Brezzi-Douglas-Marini mixed finite element is also established. Numerical results supporting our theory are given.
format Preprint
id arxiv_https___arxiv_org_abs_2409_20008
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Computing Both Upper and Lower Eigenvalue Bounds by HDG Methods
Liang, Qigang
Xu, Xuejun
Yuan, Liuyao
Numerical Analysis
In this paper, we observe an interesting phenomenon for a hybridizable discontinuous Galerkin (HDG) method for eigenvalue problems. Specifically, using the same finite element method, we may achieve both upper and lower eigenvalue bounds simultaneously, simply by the fine tuning of the stabilization parameter. Based on this observation, a high accuracy algorithm for computing eigenvalues is designed to yield higher convergence rate at a lower computational cost. Meanwhile, we demonstrate that certain type of HDG methods can only provide upper bounds. As a by-product, the asymptotic upper bound property of the Brezzi-Douglas-Marini mixed finite element is also established. Numerical results supporting our theory are given.
title Computing Both Upper and Lower Eigenvalue Bounds by HDG Methods
topic Numerical Analysis
url https://arxiv.org/abs/2409.20008