Allen-Cahn方程的虚拟元方法

展开
  • School of Mathematics and Statistics, North China University of Water Resources and Electric Power,
    Zhengzhou 450046, China
WANG Pei-zhen, (1982-), female, native of Nanyang, Henan, associate professor of North China University of Water Resources and Electric Power, engages in finite element method; TIAN Xu (1997-), male, native of Xuchang, Henan, graduate student of North China University of Water Resources and Electric Power, engages in finite element method

收稿日期: 2023-01-27

  网络出版日期: 2023-03-20

基金资助

Supported by National Natural Science Foundation of China (Grant No. 11901197); Young
Teacher Foundation of Henan Province (Grant No. 2021GGJS080).

Virtual Element Method of the Allen-Cahn Equation

Expand
  • School of Mathematics and Statistics, North China University of Water Resources and Electric Power,
    Zhengzhou 450046, China
WANG Pei-zhen, (1982-), female, native of Nanyang, Henan, associate professor of North China University of Water Resources and Electric Power, engages in finite element method; TIAN Xu (1997-), male, native of Xuchang, Henan, graduate student of North China University of Water Resources and Electric Power, engages in finite element method

Received date: 2023-01-27

  Online published: 2023-03-20

Supported by

Supported by National Natural Science Foundation of China (Grant No. 11901197); Young
Teacher Foundation of Henan Province (Grant No. 2021GGJS080).

摘要

 In this article, the virtual element method of the Allen-Cahn equation on a
polygon grid is discussed in the fully discrete formulation. With the help of the energy
projection operator, we give the corresponding error estimates in the L2 norm and H1
norm.

本文引用格式

王培珍, 田旭 . Allen-Cahn方程的虚拟元方法[J]. 数学季刊, 2023 , 38(1) : 20 -29 . DOI: 10.13371/j.cnki.chin.q.j.m.2023.01.002

Abstract

 In this article, the virtual element method of the Allen-Cahn equation on a
polygon grid is discussed in the fully discrete formulation. With the help of the energy
projection operator, we give the corresponding error estimates in the L2 norm and H1
norm.
文章导航

/