Crank–Nicolson alternative direction implicit method for two-dimensional variable-order space-fractional diffusion equations with nonseparable coefficients

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-04-02 DOI:10.1016/j.cam.2025.116655
Qiu-Ya Wang , Cui-Yun Lin , Cheng-Xue Lao
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Abstract

In this paper, we propose alternative direction implicit (ADI) schemes to address the initial boundary value problem for two-dimensional variable-order fractional diffusion equations (VOFDEs). The Crank–Nicolson (CN) method and various ADI schemes employing different finite difference methods are utilized to approximate the temporal derivative and the spatial variable-order (VO) fractional derivatives, respectively, resulting in CN-ADI schemes. We present and prove theoretical results concerning the stability and convergence of these ADI schemes. Since the order of the VO derivatives depends on spatial and temporal variables, the resulting coefficient matrices from the discretization of VOFDEs are dense and lack a Toeplitz-like structure. We propose banded preconditioners to accelerate PGMRES methods for solving the resulting discretized linear systems. Numerical results demonstrate the high efficiency of the proposed ADI schemes.
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具有不可分系数的二维变阶空间分数扩散方程的Crank-Nicolson交替方向隐式方法
本文针对二维变阶分数阶扩散方程的初边值问题,提出了替代方向隐式(ADI)格式。利用Crank-Nicolson (CN)方法和采用不同有限差分方法的各种ADI格式分别逼近时间导数和空间变阶分数导数,得到CN-ADI格式。我们给出并证明了这些ADI格式的稳定性和收敛性的理论结果。由于VO导数的阶数取决于空间和时间变量,因此由vofde离散化得到的系数矩阵是密集的,缺乏类似toeplitz结构。我们提出带状预调节器来加速PGMRES方法求解得到的离散线性系统。数值结果表明,所提出的ADI方案具有较高的效率。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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