{"title":"An α-robust and new two-grid nonuniform L2-1σ FEM for nonlinear time-fractional diffusion equation","authors":"Zhijun Tan","doi":"10.1016/j.camwa.2024.10.023","DOIUrl":null,"url":null,"abstract":"<div><div>This paper constructs and analyzes an <em>α</em>-robust and new two-grid finite element method (FEM) with nonuniform L2-<span><math><msub><mrow><mn>1</mn></mrow><mrow><mi>σ</mi></mrow></msub></math></span> formula and its fast algorithms for nonlinear time-fractional diffusion equations. The method incorporates a nonuniform L2-<span><math><msub><mrow><mn>1</mn></mrow><mrow><mi>σ</mi></mrow></msub></math></span> formula to achieve temporal second-order accuracy and address the initial solution singularity. By employing a spatial two-grid FEM, computational costs are reduced. Utilizing the cut-off technique and an auxiliary function, the condition on the nonlinear term is lessened to meet the local Lipschitz requirement. We further devise the associated fast algorithms for two-grid nonuniform L2-<span><math><msub><mrow><mn>1</mn></mrow><mrow><mi>σ</mi></mrow></msub></math></span> FEM. To prevent roundoff errors, we introduce an innovative fast algorithm to precisely calculate the kernel coefficients. An <em>α</em>-robust analysis of the stability and optimal error estimates in terms of <span><math><msup><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span>-norm and <span><math><msup><mrow><mi>H</mi></mrow><mrow><mn>1</mn></mrow></msup></math></span>-norm for the fully discrete scheme is presented. The derived error bound remains stable as the order of the fractional derivative <span><math><mi>α</mi><mo>→</mo><msup><mrow><mn>1</mn></mrow><mrow><mo>−</mo></mrow></msup></math></span>. Furthermore, a new two-grid algorithm and its corresponding fast algorithm are proposed to decrease the computational expenses by eliminating redundancy in discrete convolutional summation. Numerical experiments support our theoretical results, confirming that two-grid FEMs offer greater efficiency in comparison to FEM.</div></div>","PeriodicalId":55218,"journal":{"name":"Computers & Mathematics with Applications","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-10-21","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/S0898122124004668","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
This paper constructs and analyzes an α-robust and new two-grid finite element method (FEM) with nonuniform L2- formula and its fast algorithms for nonlinear time-fractional diffusion equations. The method incorporates a nonuniform L2- formula to achieve temporal second-order accuracy and address the initial solution singularity. By employing a spatial two-grid FEM, computational costs are reduced. Utilizing the cut-off technique and an auxiliary function, the condition on the nonlinear term is lessened to meet the local Lipschitz requirement. We further devise the associated fast algorithms for two-grid nonuniform L2- FEM. To prevent roundoff errors, we introduce an innovative fast algorithm to precisely calculate the kernel coefficients. An α-robust analysis of the stability and optimal error estimates in terms of -norm and -norm for the fully discrete scheme is presented. The derived error bound remains stable as the order of the fractional derivative . Furthermore, a new two-grid algorithm and its corresponding fast algorithm are proposed to decrease the computational expenses by eliminating redundancy in discrete convolutional summation. Numerical experiments support our theoretical results, confirming that two-grid FEMs offer greater efficiency in comparison to FEM.
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).