• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Lin, Y. (Lin, Y..) [1] | Li, X. (Li, X..) [2] | Xu, C. (Xu, C..) [3]

Indexed by:

Scopus

Abstract:

In this paper, we consider the numerical solution of the fractional Cable equation, which is a generalization of the classical Cable equation by taking into account the anomalous diffusion in the movement of the ions in neuronal system. A schema combining a finite difference approach in the time direction and a spectral method in the space direction is proposed and analyzed. The main contribution of this work is threefold: 1) We construct a finite difference/Legendre spectral schema for discretization of the fractional Cable equation. 2) We give a detailed analysis of the proposed schema by providing some stability and error estimates. Based on this analysis, the convergence of the method is rigourously established. We prove that the overall schema is unconditionally stable, and the numerical solution converges to the exact one with order O(4t2-max{a,ß}), where 4t is the time step size, a and ß are two different exponents between 0 and 1 involved in the fractional derivatives. 3) Finally, some numerical experiments are carried out to support the theoretical claims. © MODSIM 2009.All rights reserved.

Keyword:

Convergence; Fractional Cable equation; Numerical solution; Stability

Community:

  • [ 1 ] [Lin, Y.]School of Mathematical Sciences, Xiamen University, Xiamen, 361005, China
  • [ 2 ] [Li, X.]School of Mathematical Sciences, Fuzhou University, Fuzhou, 350200, China
  • [ 3 ] [Xu, C.]School of Mathematical Sciences, Xiamen University, Xiamen, 361005, China

Reprint 's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

18th World IMACS Congress and MODSIM 2009 - International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings

Year: 2020

Page: 455-461

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Affiliated Colleges:

Online/Total:6/10197750
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1