Fast numerical schemes for nonlinear space-fractional multidelay reaction-diffusion equations by implicit integration factor methods

被引:5
作者
Jian, Huan-Yan [1 ]
Huang, Ting-Zhu [1 ]
Ostermann, Alexander [2 ]
Gu, Xian-Ming [3 ]
Zhao, Yong-Liang [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China
[2] Univ Innsbruck, Dept Math, Technikerstr 13, A-6020 Innsbruck, Austria
[3] Southwestern Univ Finance & Econ, Sch Econ Math, Inst Math, Chengdu 611130, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Nonlinear delay reaction-diffusion equations; Riesz fractional derivative; Implicit integration factor methods; Weighted and shifted Grunwald-Letnikov; difference; Krylov subspace methods; KRYLOV SUBSPACE METHODS; COMPACT; SYSTEMS; MODEL; CHAOS;
D O I
10.1016/j.amc.2021.126360
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this article, a fast and efficient numerical method is constructed for solving nonlinear space-fractional multidelay reaction-diffusion equations. Firstly, we spatially discretize the equation using the weighted and shifted Gr & uuml;nwald-Letnikov difference (WSGD) formula. As a result, a nonlinear system of ordinary differential equations (ODEs) is obtained. Then, based on the fact that the implicit integration factor (IIF) method is an effective time stepping scheme with good stability properties, we develop a multidelay IIF (MIIF) method to deal with the resulting ODE system. Compared with traditional numerical schemes, such as the backward differential formula (BDF) and the Crank-Nicolson scheme (CN), the proposed MIIF scheme has two main advantages: (1) MIIF can achieve high-order accuracy in time; (2) the temporal errors are smaller and the convergence orders observed with MIIF are more regular. In addition, in order to overcome the computational challenges, we propose some Krylov subspace methods to calculate the actions of the Toeplitz matrix exponentials in MIIF. Finally, numerical examples are presented to confirm the accuracy of the MIIF scheme and to demonstrate the considerable computational advantages of the proposed fast solving algorithms. (c) 2021 Elsevier Inc. All rights reserved.
引用
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页数:17
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