Adaptive finite element approximations of the first eigenpair associated with $p$-Laplacian

Fuente: arXiv
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Autores principales: Li, Guanglian, Li, Jing, Merten, Julie, Xu, Yifeng, Zhu, Shengfeng
Formato: Preprint
Publicado: 2024
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author Li, Guanglian
Li, Jing
Merten, Julie
Xu, Yifeng
Zhu, Shengfeng
author_facet Li, Guanglian
Li, Jing
Merten, Julie
Xu, Yifeng
Zhu, Shengfeng
contents In this paper, we propose an adaptive finite element method for computing the first eigenpair of the $p$-Laplacian problem. We prove that starting from a fine initial mesh our proposed adaptive algorithm produces a sequence of discrete first eigenvalues that converges to the first eigenvalue of the continuous problem and the distance between discrete eigenfunctions and the normalized eigenfunction set corresponding to the first eigenvalue in $W^{1,p}$-norm also tends to zero. Extensive numerical examples are provided to show the effectiveness and efficiency.
format Preprint
id arxiv_https___arxiv_org_abs_2402_06889
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Adaptive finite element approximations of the first eigenpair associated with $p$-Laplacian
Li, Guanglian
Li, Jing
Merten, Julie
Xu, Yifeng
Zhu, Shengfeng
Numerical Analysis
65N12, 65N25, 65N30, 65N50, 35P30
In this paper, we propose an adaptive finite element method for computing the first eigenpair of the $p$-Laplacian problem. We prove that starting from a fine initial mesh our proposed adaptive algorithm produces a sequence of discrete first eigenvalues that converges to the first eigenvalue of the continuous problem and the distance between discrete eigenfunctions and the normalized eigenfunction set corresponding to the first eigenvalue in $W^{1,p}$-norm also tends to zero. Extensive numerical examples are provided to show the effectiveness and efficiency.
title Adaptive finite element approximations of the first eigenpair associated with $p$-Laplacian
topic Numerical Analysis
65N12, 65N25, 65N30, 65N50, 35P30
url https://arxiv.org/abs/2402.06889