A fast modified $$\overline{L1}$$ finite difference method for time fractional diffusion equations with weakly singular solution

IF 2.4 3区 数学 Q1 MATHEMATICS
Haili Qiao, Aijie Cheng
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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.

针对具有弱奇异解的时间分数扩散方程的快速修正 $$\overline{L1}$ 有限差分法
本文针对初值为弱奇异解的时间分数扩散方程建立了一种快速修正有限差分法。首先,在分级网格上用修正的(\overline{L1}\)公式逼近时间分数导数,在均匀网格上用标准的中心差分公式逼近空间导数。因此,得到了时间分数扩散方程的数值方案。然后,利用 Von-Neumann 稳定性分析方法分析了该方案的稳定性,并给出了截断误差估计值。另一方面,时间分数导数是非局部的,具有历史依赖性,因此计算成本和内存消耗都很高。基于指数和近似(SOE)技术,我们优化了数值格式,将复数量从(O(M\hat{N})\)减少到(O(M N_{exp})\),计算量从(O(M N_{exp})\)减少到(O(M N_{exp})\)、计算量从(O(Mhat{N}^2))减少到(O(Mhat{N}N_{exp})),其中 M、\(\hat{N}\) 和\(N_{exp})分别代表空间点数、时间点数和指数量。最后,数值示例验证了该方案的有效性和理论分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Applied Mathematics and Computing
Journal of Applied Mathematics and Computing Mathematics-Computational Mathematics
CiteScore
4.20
自引率
4.50%
发文量
131
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.
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