On τ-preconditioner for anovel fourth-order difference scheme oftwo-dimensional Riesz space-fractional diffusion equations

被引:6
|
作者
Huang, Yuan-Yuan [1 ]
Qu, Wei [2 ]
Lei, Siu-Long [1 ]
机构
[1] Univ Macau, Dept Math, Taipa, Macao, Peoples R China
[2] Shaoguan Univ, Sch Math & Stat, Shaoguan 512005, Peoples R China
关键词
Riesz space-fractional diffusion equations; t-preconditioner; Stability and convergence; Spectral analysis; Preconditioned conjugate gradient method; CIRCULANT PRECONDITIONER; SPECTRAL-ANALYSIS; APPROXIMATIONS; DERIVATIVES; ALGORITHMS; TIMES;
D O I
10.1016/j.camwa.2023.06.015
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, a tau-preconditioner for a novel fourth-order finite difference scheme of two-dimensional Riesz space-fractional diffusion equations (2D RSFDEs) is considered, in which a fourth-order fractional centered difference operator is adopted for the discretizations of spatial Riesz fractional derivatives, while the CrankNicolson method is adopted to discretize the temporal derivative. The scheme is proven to be unconditionally stable and has a convergence rate of circle dot(Delta t(2) + Delta t(4)+ Delta t(4)) in the discrete L-2-norm, where Delta t, Delta x, and Delta y are the temporal and spatial step sizes, respectively. In addition, the preconditioned conjugate gradient (PCG) method with.. iota-preconditioner is applied to solve the discretized symmetric positive definite linear systemsarising from 2D RSFDEs. Theoretically, we show that the iota-preconditioner is invertible by a new technique, and analyze the spectrum of the corresponding preconditioned matrix. Moreover, since the..-preconditioner can be diagonalizedby the discrete sine transform matrix, the total operation cost of the PCG method is circle dot (N-x,N-y log NxNy), where N-x and N-y are the number of spatial unknowns in x- and y-directions. Finally, numerical experiments are performed to verify the convergence orders, and show that the PCG method with the.. -preconditioner for solving the discretized linear system has a convergence rate independent of discretization stepsizes.
引用
收藏
页码:124 / 140
页数:17
相关论文
共 50 条
  • [21] Second-order BDF time approximation for Riesz space-fractional diffusion equations
    Liao, Hong-Lin
    Lyu, Pin
    Vong, Seakweng
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2018, 95 (01) : 144 - 158
  • [22] Numerical analysis of a second-order finite difference scheme for Riesz space-fractional Allen-Cahn equations
    Xu, Changling
    Cao, Yang
    Hou, Tianliang
    ADVANCES IN CONTINUOUS AND DISCRETE MODELS, 2025, 2025 (01):
  • [23] Time fourth-order energy-preserving AVF finite difference method for nonlinear space-fractional wave equations
    Hou, Baohui
    Liang, Dong
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2021, 386
  • [24] A finite difference scheme for semilinear space-fractional diffusion equations with time delay
    Hao, Zhaopeng
    Fan, Kai
    Cao, Wanrong
    Sun, Zhizhong
    APPLIED MATHEMATICS AND COMPUTATION, 2016, 275 : 238 - 254
  • [25] A POD-based reduced-order Crank-Nicolson/fourth-order alternating direction implicit (ADI) finite difference scheme for solving the two-dimensional distributed-order Riesz space-fractional diffusion equation
    Abbaszadeh, Mostafa
    Dehghan, Mehdi
    APPLIED NUMERICAL MATHEMATICS, 2020, 158 : 271 - 291
  • [26] A Robust Preconditioner for Two-dimensional Conservative Space-Fractional Diffusion Equations on Convex Domains
    Chen, Xu
    Deng, Si-Wen
    Lei, Siu-Long
    JOURNAL OF SCIENTIFIC COMPUTING, 2019, 80 (02) : 1033 - 1057
  • [27] Nonpolynomial Numerical Scheme for Fourth-Order Fractional Sub-diffusion Equations
    Li, Xuhao
    Wong, Patricia J. Y.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2016 (ICNAAM-2016), 2017, 1863
  • [28] A Robust Preconditioner for Two-dimensional Conservative Space-Fractional Diffusion Equations on Convex Domains
    Xu Chen
    Si-Wen Deng
    Siu-Long Lei
    Journal of Scientific Computing, 2019, 80 : 1033 - 1057
  • [29] A fourth-order accurate numerical method for the distributed-order Riesz space fractional diffusion equation
    Chen, Xuejuan
    Chen, Jinghua
    Liu, Fawang
    Sun, Zhi-zhong
    NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2023, 39 (02) : 1266 - 1286
  • [30] Symbol-based preconditioning for riesz distributed-order space-fractional diffusion equations
    Mazza M.
    Serra-Capizzano S.
    Usman M.
    Electronic Transactions on Numerical Analysis, 2021, 54 : 499 - 513