General degree divergence-free finite element methods for the Stokes problem on smooth domains

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Durst, Rebecca, Neilan, Michael
Natura: Preprint
Pubblicazione: 2024
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866914764749275136
author Durst, Rebecca
Neilan, Michael
author_facet Durst, Rebecca
Neilan, Michael
contents In this paper, we construct and analyze divergence-free finite element methods for the Stokes problem on smooth domains. The discrete spaces are based on the Scott-Vogelius finite element pair of arbitrary polynomial degree greater than two. By combining the Piola transform with the classical isoparametric framework, and with a judicious choice of degrees of freedom, we prove that the method converges with optimal order in the energy norm. We also show that the discrete velocity error converges with optimal order in the $L^2$-norm. Numerical experiments are presented, which support the theoretical results.
format Preprint
id arxiv_https___arxiv_org_abs_2404_14226
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle General degree divergence-free finite element methods for the Stokes problem on smooth domains
Durst, Rebecca
Neilan, Michael
Numerical Analysis
In this paper, we construct and analyze divergence-free finite element methods for the Stokes problem on smooth domains. The discrete spaces are based on the Scott-Vogelius finite element pair of arbitrary polynomial degree greater than two. By combining the Piola transform with the classical isoparametric framework, and with a judicious choice of degrees of freedom, we prove that the method converges with optimal order in the energy norm. We also show that the discrete velocity error converges with optimal order in the $L^2$-norm. Numerical experiments are presented, which support the theoretical results.
title General degree divergence-free finite element methods for the Stokes problem on smooth domains
topic Numerical Analysis
url https://arxiv.org/abs/2404.14226