Issue |
ESAIM: M2AN
Volume 56, Number 6, November-December 2022
|
|
---|---|---|
Page(s) | 2081 - 2103 | |
DOI | https://doi.org/10.1051/m2an/2022074 | |
Published online | 03 November 2022 |
A C0 interior penalty method for mth-Laplace equation
1
School of Mathematical Sciences and Fujian Provincial Key Laboratory on Mathematical Modeling and High Performance Scientific Computing, Xiamen University, Fujian 361005, P.R. China
2
Department of Mathematics and National Center for Applied Mathematics Shenzhen and SUSTech International Center for Mathematics, Southern University of Science and Technology, Shenzhen 518055, P.R. China
3
Department of Mathematics, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, P.R. China
* Corresponding author: weifeqiu@cityu.edu.hk
Received:
14
November
2021
Accepted:
8
August
2022
In this paper, we propose a C0 interior penalty method for mth-Laplace equation on bounded Lipschitz polyhedral domain in ℝd, where m and d can be any positive integers. The standard H1-conforming piecewise r-th order polynomial space is used to approximate the exact solution u, where r can be any integer greater than or equal to m. Unlike the interior penalty method in Gudi and Neilan [IMA J. Numer. Anal. 31 (2011) 1734–1753], we avoid computing Dm of numerical solution on each element and high order normal derivatives of numerical solution along mesh interfaces. Therefore our method can be easily implemented. After proving discrete Hm-norm bounded by the natural energy semi-norm associated with our method, we manage to obtain stability and optimal convergence with respect to discrete Hm-norm. The error estimate under the low regularity assumption of the exact solution is also obtained. Numerical experiments validate our theoretical estimate.
Mathematics Subject Classification: 65N30 / 65L12
Key words: C0 interior penalty / mth-Laplace equation / stabilization / error estimates
© The authors. Published by EDP Sciences, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.