A compact LOD method and its extrapolation for two-dimensional modified anomalous fractional sub-diffusion equations

被引:11
|
作者
Wang, Tao [1 ]
Wang, Yuan-Ming [1 ,2 ]
机构
[1] E China Normal Univ, Dept Math, Shanghai Key Lab Pure Math & Math Practice, Shanghai 200241, Peoples R China
[2] Shanghai Normal Univ, E Inst Shanghai Univ, Div Computat Sci, Sci Comp Key Lab Shanghai Univ, Shanghai 200234, Peoples R China
关键词
Modified anomalous fractional sub-diffusion equation; Compact LOD method; Finite difference scheme; Error estimate; Richardson extrapolation; NONLINEAR SOURCE-TERM; FINITE-DIFFERENCE METHODS; IMPLICIT NUMERICAL-METHOD; FOKKER-PLANCK EQUATION; SUBDIFFUSION EQUATION; SCHEME; ORDER; STABILITY; APPROXIMATIONS; ACCURACY;
D O I
10.1016/j.camwa.2015.11.009
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A Crank-Nicolson-type compact locally one-dimensional (LOD) finite difference method is proposed for a class of two-dimensional modified anomalous fractional sub-diffusion equations with two time Riemann-Liouville fractional derivatives of orders (1 - alpha) and (1 - beta)(0 < alpha, beta < 1). The resulting scheme consists of simple tridiagonal systems and all computations are carried out completely in one spatial direction as for one-dimensional problems. This property evidently enhances the simplicity of programming and makes the computations more easy. The unconditional stability and convergence of the scheme are rigorously proved. The error estimates in the standard H-1- and L-2-norms and the weighted L-infinity-norm are obtained and show that the proposed compact LOD method has the accuracy of the order 2 min{alpha, beta} in time and 4 in space. A Richardson extrapolation algorithm is presented to increase the temporal accuracy to the order min{alpha + beta, 4 min{alpha, beta}} fill if alpha not equal beta and min{1 + alpha, 4 alpha} if alpha = beta. A comparison study of the compact LOD method with the other existing methods is given to show its superiority. Numerical results confirm our theoretical analysis, and demonstrate the accuracy and the effectiveness of the compact LOD method and the extrapolation algorithm. (C) 2015 Elsevier Ltd. All rights reserved.
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页码:147 / 170
页数:24
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