{"title":"半线性抛物方程双网格BDF2虚元格式的误差估计","authors":"Peixuan Wu, Xiaohui Wu, Yang Wang, Ruqing Wang","doi":"10.1016/j.apnum.2025.07.002","DOIUrl":null,"url":null,"abstract":"<div><div>In this article, we present a new two-grid discretization for the approximation of semilinear parabolic equation found on virtual element method (VEM). The two-step backward differentiation formula (BDF2) is comtemplated in the time dimension, while the VEM is utilized in spatial dimension. The two-grid VEM primarily computes the numerical solution <span><math><msubsup><mrow><mi>W</mi></mrow><mrow><mi>H</mi></mrow><mrow><mi>n</mi></mrow></msubsup></math></span> from solving a nonlinear system on a coarse mesh with size <em>H</em> and then gets the numerical solution <span><math><msubsup><mrow><mi>W</mi></mrow><mrow><mi>h</mi></mrow><mrow><mi>n</mi></mrow></msubsup></math></span> to a linear system built by the earlier result <span><math><msubsup><mrow><mi>W</mi></mrow><mrow><mi>H</mi></mrow><mrow><mi>n</mi></mrow></msubsup></math></span> on a fine mesh with size <em>h</em> (<span><math><mi>h</mi><mo>≪</mo><mi>H</mi></math></span>). Consequently, our proposed scheme not only reduces total computational expense, but also achieves same accuracy as the single-grid VEM. The convergence analysis in <span><math><msup><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> and semi-<span><math><msup><mrow><mi>H</mi></mrow><mrow><mn>1</mn></mrow></msup></math></span> norm for both the VEM and the two-grid VEM methods are provided concretely.</div></div>","PeriodicalId":8199,"journal":{"name":"Applied Numerical Mathematics","volume":"217 ","pages":"Pages 451-475"},"PeriodicalIF":2.4000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Error estimates of a two-grid BDF2 virtual element scheme for semilinear parabolic equation\",\"authors\":\"Peixuan Wu, Xiaohui Wu, Yang Wang, Ruqing Wang\",\"doi\":\"10.1016/j.apnum.2025.07.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this article, we present a new two-grid discretization for the approximation of semilinear parabolic equation found on virtual element method (VEM). The two-step backward differentiation formula (BDF2) is comtemplated in the time dimension, while the VEM is utilized in spatial dimension. The two-grid VEM primarily computes the numerical solution <span><math><msubsup><mrow><mi>W</mi></mrow><mrow><mi>H</mi></mrow><mrow><mi>n</mi></mrow></msubsup></math></span> from solving a nonlinear system on a coarse mesh with size <em>H</em> and then gets the numerical solution <span><math><msubsup><mrow><mi>W</mi></mrow><mrow><mi>h</mi></mrow><mrow><mi>n</mi></mrow></msubsup></math></span> to a linear system built by the earlier result <span><math><msubsup><mrow><mi>W</mi></mrow><mrow><mi>H</mi></mrow><mrow><mi>n</mi></mrow></msubsup></math></span> on a fine mesh with size <em>h</em> (<span><math><mi>h</mi><mo>≪</mo><mi>H</mi></math></span>). Consequently, our proposed scheme not only reduces total computational expense, but also achieves same accuracy as the single-grid VEM. The convergence analysis in <span><math><msup><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> and semi-<span><math><msup><mrow><mi>H</mi></mrow><mrow><mn>1</mn></mrow></msup></math></span> norm for both the VEM and the two-grid VEM methods are provided concretely.</div></div>\",\"PeriodicalId\":8199,\"journal\":{\"name\":\"Applied Numerical Mathematics\",\"volume\":\"217 \",\"pages\":\"Pages 451-475\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Numerical Mathematics\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168927425001424\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Numerical Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168927425001424","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Error estimates of a two-grid BDF2 virtual element scheme for semilinear parabolic equation
In this article, we present a new two-grid discretization for the approximation of semilinear parabolic equation found on virtual element method (VEM). The two-step backward differentiation formula (BDF2) is comtemplated in the time dimension, while the VEM is utilized in spatial dimension. The two-grid VEM primarily computes the numerical solution from solving a nonlinear system on a coarse mesh with size H and then gets the numerical solution to a linear system built by the earlier result on a fine mesh with size h (). Consequently, our proposed scheme not only reduces total computational expense, but also achieves same accuracy as the single-grid VEM. The convergence analysis in and semi- norm for both the VEM and the two-grid VEM methods are provided concretely.
期刊介绍:
The purpose of the journal is to provide a forum for the publication of high quality research and tutorial papers in computational mathematics. In addition to the traditional issues and problems in numerical analysis, the journal also publishes papers describing relevant applications in such fields as physics, fluid dynamics, engineering and other branches of applied science with a computational mathematics component. The journal strives to be flexible in the type of papers it publishes and their format. Equally desirable are:
(i) Full papers, which should be complete and relatively self-contained original contributions with an introduction that can be understood by the broad computational mathematics community. Both rigorous and heuristic styles are acceptable. Of particular interest are papers about new areas of research, in which other than strictly mathematical arguments may be important in establishing a basis for further developments.
(ii) Tutorial review papers, covering some of the important issues in Numerical Mathematics, Scientific Computing and their Applications. The journal will occasionally publish contributions which are larger than the usual format for regular papers.
(iii) Short notes, which present specific new results and techniques in a brief communication.