Fast algorithms for high-order numerical methods for space-fractional diffusion equations

被引:34
|
作者
Lei, Siu-Long [1 ]
Huang, Yun-Chi [1 ]
机构
[1] Univ Macau, Dept Math, Macau, Peoples R China
关键词
Fractional diffusion equation; fourth-order discretization; boundary value method; Crank-Nicolson preconditioner; block-circulant preconditioner; GMRES method; circulant- and skew-circulant representation of Toeplitz matrix inversion; FINITE-DIFFERENCE APPROXIMATIONS; STRANG-TYPE PRECONDITIONERS; CIRCULANT PRECONDITIONER; SYSTEMS;
D O I
10.1080/00207160.2016.1149579
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, fast numerical methods for solving space-fractional diffusion equations are studied in two stages. Firstly, a fast direct solver for an implicit finite difference scheme proposed by Hao et al. [A fourth-order approximation of fractional derivatives with its applications, J. Comput. Phys. 281 (2015), pp. 787-805], which is fourth-order accurate in space and second-order accurate in time, is developed based on a circulant-and-skew-circulant (CS) representation of Toeplitz matrix inversion. Secondly, boundary value method with spatial discretization of Hao et al. [A fourth-order approximation of fractional derivatives with its applications, J. Comput. Phys. 281 (2015), pp. 787-805] is adopted to produce a numerical solution with higher order accuracy in time. Particularly, a method with fourth-order accuracy in both space and time can be achieved. GMRES method is employed for solving the discretized linear system with two preconditioners. Based on the CS representation of Toeplitz matrix inversion, the two preconditioners can be applied efficiently, and the convergence rate of the preconditioned GMRES method is proven to be fast. Numerical examples are given to support the theoretical analysis.
引用
收藏
页码:1062 / 1078
页数:17
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