Kai Liu , Ming Tang , Xiaoqing Xing , Liuqiang Zhong
{"title":"Convergence of adaptive mixed interior penalty discontinuous Galerkin methods for H(curl)-elliptic problems","authors":"Kai Liu , Ming Tang , Xiaoqing Xing , Liuqiang Zhong","doi":"10.1016/j.camwa.2024.06.020","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper, we study the convergence of adaptive mixed interior penalty discontinuous Galerkin method for <span><math><mi>H</mi><mo>(</mo><mrow><mi>c</mi><mi>u</mi><mi>r</mi><mi>l</mi></mrow><mo>)</mo></math></span>-elliptic problems. We first get the mixed model of <span><math><mi>H</mi><mo>(</mo><mrow><mi>c</mi><mi>u</mi><mi>r</mi><mi>l</mi></mrow><mo>)</mo></math></span>-elliptic problem by introducing a new intermediate variable. Then we discuss the continuous variational problem and discrete variational problem, which based on interior penalty discontinuous Galerkin approximation. Next, we construct the corresponding posteriori error indicator, and prove the contraction of the summation of the energy error and the scaled error indicator. At last, we confirm and illustrate the theoretical result through some numerical experiments.</p></div>","PeriodicalId":55218,"journal":{"name":"Computers & Mathematics with Applications","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Mathematics with Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0898122124002888","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we study the convergence of adaptive mixed interior penalty discontinuous Galerkin method for -elliptic problems. We first get the mixed model of -elliptic problem by introducing a new intermediate variable. Then we discuss the continuous variational problem and discrete variational problem, which based on interior penalty discontinuous Galerkin approximation. Next, we construct the corresponding posteriori error indicator, and prove the contraction of the summation of the energy error and the scaled error indicator. At last, we confirm and illustrate the theoretical result through some numerical experiments.
期刊介绍:
Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).