Lower eigenvalue bounds with hybrid high-order methods

Fuente: arXiv
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Main Author: Tran, Ngoc Tien
Format: Preprint
Published: 2024
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author Tran, Ngoc Tien
author_facet Tran, Ngoc Tien
contents This paper proposes hybrid high-order eigensolvers for the computation of guaranteed lower eigenvalue bounds. These bounds display higher order convergence rates and are accessible to adaptive mesh-refining algorithms. The involved constants arise from local embeddings and are available for all polynomial degrees. Applications include the linear elasticity and Steklov eigenvalue problem.
format Preprint
id arxiv_https___arxiv_org_abs_2406_06244
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Lower eigenvalue bounds with hybrid high-order methods
Tran, Ngoc Tien
Numerical Analysis
65N25, 65N30
This paper proposes hybrid high-order eigensolvers for the computation of guaranteed lower eigenvalue bounds. These bounds display higher order convergence rates and are accessible to adaptive mesh-refining algorithms. The involved constants arise from local embeddings and are available for all polynomial degrees. Applications include the linear elasticity and Steklov eigenvalue problem.
title Lower eigenvalue bounds with hybrid high-order methods
topic Numerical Analysis
65N25, 65N30
url https://arxiv.org/abs/2406.06244