A FAST HIGH ORDER METHOD FOR TIME FRACTIONAL DIFFUSION EQUATION WITH NON-SMOOTH DATA

被引:11
作者
Qiao, Haili [1 ]
Cheng, Aijie [1 ]
机构
[1] Shandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R China
来源
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B | 2022年 / 27卷 / 02期
基金
中国国家自然科学基金;
关键词
Time fractional differential equation; finite difference method; graded meshes; L1-2; formula; POD; PARTIAL-DIFFERENTIAL-EQUATIONS; SCHEME; APPROXIMATION; GALERKIN; POD;
D O I
10.3934/dcdsb.2021073
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we consider the time fractional diffusion equation with Caputo fractional derivative. Due to the singularity of the solution at the initial moment, it is difficult to achieve an ideal convergence order on uniform meshes. Therefore, in order to improve the convergence order, we discrete the Caputo time fractional derivative by a new L1 - 2 format on graded meshes,while the spatial derivative term is approximated by the classical central difference scheme on uniform meshes. We analyze the approximation about the time fractional derivative, and obtain the time truncation error, but the stability analysis remains an open problem. On the other hand, considering that the computational cost is extremely large, we present a reduced-order finite difference extrapolation algorithm for the time-fraction diffusion equation by means of proper orthogonal decomposition (POD) technique, which effectively reduces the computational cost. Finally, several numerical examples are given to verify the convergence of the scheme and the effectiveness of the reduced order extrapolation algorithm.
引用
收藏
页码:903 / 920
页数:18
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