{"title":"斯托克斯特征值问题的非连续伽勒金方法多网格离散化","authors":"Ling Ling Sun,Hai Bi, Yidu Yang","doi":"10.4208/cicp.oa-2023-0027","DOIUrl":null,"url":null,"abstract":"In this paper, based on the velocity-pressure formulation of the Stokes eigenvalue problem in $d$-dimensional case $(d=2,3),$ we propose a multigrid discretization of\ndiscontinuous Galerkin method using $\\mathbb{P}_k−\\mathbb{P}_k−1$ element $(k≥1)$ and prove its a priori\nerror estimate. We also give the a posteriori error estimators for approximate eigenpairs, prove their reliability and efficiency for eigenfunctions, and also analyze their\nreliability for eigenvalues. We implement adaptive calculation, and the numerical results confirm our theoretical predictions and show that our method is efficient and can\nachieve the optimal convergence order $\\mathcal{O}(do f^{ \\frac{−2k}{d}} ).$","PeriodicalId":50661,"journal":{"name":"Communications in Computational Physics","volume":"105 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Multigrid Discretization of Discontinuous Galerkin Method for the Stokes Eigenvalue Problem\",\"authors\":\"Ling Ling Sun,Hai Bi, Yidu Yang\",\"doi\":\"10.4208/cicp.oa-2023-0027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, based on the velocity-pressure formulation of the Stokes eigenvalue problem in $d$-dimensional case $(d=2,3),$ we propose a multigrid discretization of\\ndiscontinuous Galerkin method using $\\\\mathbb{P}_k−\\\\mathbb{P}_k−1$ element $(k≥1)$ and prove its a priori\\nerror estimate. We also give the a posteriori error estimators for approximate eigenpairs, prove their reliability and efficiency for eigenfunctions, and also analyze their\\nreliability for eigenvalues. We implement adaptive calculation, and the numerical results confirm our theoretical predictions and show that our method is efficient and can\\nachieve the optimal convergence order $\\\\mathcal{O}(do f^{ \\\\frac{−2k}{d}} ).$\",\"PeriodicalId\":50661,\"journal\":{\"name\":\"Communications in Computational Physics\",\"volume\":\"105 1\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Computational Physics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.4208/cicp.oa-2023-0027\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PHYSICS, MATHEMATICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Computational Physics","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.4208/cicp.oa-2023-0027","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHYSICS, MATHEMATICAL","Score":null,"Total":0}
A Multigrid Discretization of Discontinuous Galerkin Method for the Stokes Eigenvalue Problem
In this paper, based on the velocity-pressure formulation of the Stokes eigenvalue problem in $d$-dimensional case $(d=2,3),$ we propose a multigrid discretization of
discontinuous Galerkin method using $\mathbb{P}_k−\mathbb{P}_k−1$ element $(k≥1)$ and prove its a priori
error estimate. We also give the a posteriori error estimators for approximate eigenpairs, prove their reliability and efficiency for eigenfunctions, and also analyze their
reliability for eigenvalues. We implement adaptive calculation, and the numerical results confirm our theoretical predictions and show that our method is efficient and can
achieve the optimal convergence order $\mathcal{O}(do f^{ \frac{−2k}{d}} ).$
期刊介绍:
Communications in Computational Physics (CiCP) publishes original research and survey papers of high scientific value in computational modeling of physical problems. Results in multi-physics and multi-scale innovative computational methods and modeling in all physical sciences will be featured.