{"title":"A fast modified $$\\overline{L1}$$ finite difference method for time fractional diffusion equations with weakly singular solution","authors":"Haili Qiao, Aijie Cheng","doi":"10.1007/s12190-024-02110-7","DOIUrl":null,"url":null,"abstract":"<p>In this paper, we establish a fast modified <span>\\(\\overline{L1}\\)</span> finite difference method for the time fractional diffusion equation with weakly singular solution at the initial moment. First, the time fractional derivative is approximated by the modified <span>\\(\\overline{L1}\\)</span> formula on graded meshes, and the spatial derivative is approximated by the standard central difference formula on uniform meshes. Therefore, a numerical scheme for the time fractional diffusion equation is obtained. Then, the Von-Neumann stability analysis method is used to analyze the stability of the scheme, and the truncation error estimate is given. On the other hand, the time fractional derivative is nonlocal, which has historical dependency, thus, the cost of computation and memory consumption are expensive. Based on the sum-of exponentials approximation (SOE) technique, we optimize the numerical format, reduce the complex amount from <span>\\(O(M\\hat{N})\\)</span> to <span>\\(O(M N_{exp})\\)</span>, and the amount of computation from <span>\\(O(M\\hat{N}^2)\\)</span> to <span>\\(O(M\\hat{N}N_{exp})\\)</span>, where <i>M</i>, <span>\\(\\hat{N}\\)</span> and <span>\\(N_{exp}\\)</span> represent the number of spatial points, the number of temporal points, and the exponential amount, respectively. Finally, numerical examples verify the effectiveness of the scheme and theoretical analysis.</p>","PeriodicalId":15034,"journal":{"name":"Journal of Applied Mathematics and Computing","volume":"16 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Mathematics and Computing","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s12190-024-02110-7","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we establish a fast modified \(\overline{L1}\) finite difference method for the time fractional diffusion equation with weakly singular solution at the initial moment. First, the time fractional derivative is approximated by the modified \(\overline{L1}\) formula on graded meshes, and the spatial derivative is approximated by the standard central difference formula on uniform meshes. Therefore, a numerical scheme for the time fractional diffusion equation is obtained. Then, the Von-Neumann stability analysis method is used to analyze the stability of the scheme, and the truncation error estimate is given. On the other hand, the time fractional derivative is nonlocal, which has historical dependency, thus, the cost of computation and memory consumption are expensive. Based on the sum-of exponentials approximation (SOE) technique, we optimize the numerical format, reduce the complex amount from \(O(M\hat{N})\) to \(O(M N_{exp})\), and the amount of computation from \(O(M\hat{N}^2)\) to \(O(M\hat{N}N_{exp})\), where M, \(\hat{N}\) and \(N_{exp}\) represent the number of spatial points, the number of temporal points, and the exponential amount, respectively. Finally, numerical examples verify the effectiveness of the scheme and theoretical analysis.
期刊介绍:
JAMC is a broad based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. Major areas, such as numerical analysis, discrete optimization, linear and nonlinear programming, theory of computation, control theory, theory of algorithms, computational logic, applied combinatorics, coding theory, cryptograhics, fuzzy theory with applications, differential equations with applications are all included. A large variety of scientific problems also necessarily involve Algebra, Analysis, Geometry, Probability and Statistics and so on. The journal welcomes research papers in all branches of mathematics which have some bearing on the application to scientific problems, including papers in the areas of Actuarial Science, Mathematical Biology, Mathematical Economics and Finance.