A fast time stepping Legendre spectral method for solving fractional Cable equation with smooth and non-smooth solutions

Xu, Yibin, Liu, Yanqin, Yin, Xiuling, , Wang, Zihua, & Li, Qiuping (2023) A fast time stepping Legendre spectral method for solving fractional Cable equation with smooth and non-smooth solutions. Mathematics and Computers in Simulation, 211, pp. 154-170.

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Description

To improve the calculation accuracy and efficiency, in this article, we develop a fast time stepping Legendre spectral method for solving fractional Cable equation, where in temporal direction the time stepping method is utilized and the spatial variable is discretized by Legendre spectral method. The time stepping method is used to approximate fractional order derivative, and its convergence accuracy in time is O(τ2). The fast algorithm is applied to the time stepping method and it can reduce the computational complexity from O(M2) to O(MlogM), where M denotes the number of time stepping. For non-smooth solutions, we deal with the initial singularity by adding correction terms. We also analyze the numerical stability and convergence in detail. Numerical experiments confirm our theoretical analysis and efficiency of the fast algorithm.

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1 citations in Scopus
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ID Code: 243097
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Feng, Liboorcid.org/0000-0002-1320-7946
Additional Information: Funding Information: This work is supported by National Natural Science Foundation of China (Nos. 11801060 ).
Measurements or Duration: 17 pages
Keywords: Fast algorithm, Legendre spectral method, Smooth and non-smooth solutions, Stability and convergence, Time stepping method
DOI: 10.1016/j.matcom.2023.04.009
ISSN: 0378-4754
Pure ID: 144302656
Divisions: Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Mathematical Sciences
Funding Information: This work is supported by National Natural Science Foundation of China (Nos. 11801060 ).
Copyright Owner: 2023 International Association for Mathematics and Computers in Simulation (IMACS)
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Deposited On: 20 Sep 2023 05:47
Last Modified: 03 Aug 2024 00:45