The Galerkin finite element approximation of the fractional cable equation


Autoria(s): Zhuang, P.; Liu, F.; Anh, V.; Turner, I.
Contribuinte(s)

Cheng, Wen

Sun, HongGuang

Baleanu, Dumitru

Data(s)

2012

Resumo

The cable equation is one of the most fundamental equations for modeling neuronal dynamics. Cable equations with a fractional order temporal derivative have been introduced to model electrotonic properties of spiny neuronal dendrites. In this paper, the fractional cable equation involving two integro-differential operators is considered. The Galerkin finite element approximations of the fractional cable equation are proposed. The main contribution of this work is outlined as follow: • A semi-discrete finite difference approximation in time is proposed. We prove that the scheme is unconditionally stable, and the numerical solution converges to the exact solution with order O(Δt). • A semi-discrete difference scheme for improving the order of convergence for solving the fractional cable equation is proposed, and the numerical solution converges to the exact solution with order O((Δt)2). • Based on the above semi-discrete difference approximations, Galerkin finite element approximations in space for a full discretization are also investigated. • Finally, some numerical results are given to demonstrate the theoretical analysis.

Identificador

http://eprints.qut.edu.au/51450/

Publicador

Hohai University

Relação

Zhuang, P., Liu, F., Anh, V., & Turner, I. (2012) The Galerkin finite element approximation of the fractional cable equation. In Cheng, Wen, Sun, HongGuang, & Baleanu, Dumitru (Eds.) The Proceedings of the Fifth Symposium on Fractional Differentiation and Its Applications, Hohai University, Hohai University, Nanjing, pp. 1-8.

Direitos

Copyright 2012 [please consult the author]

Fonte

School of Mathematical Sciences; Science & Engineering Faculty

Palavras-Chave #010000 MATHEMATICAL SCIENCES #090000 ENGINEERING #Fractional cable equation, finite difference, Galerkin finite element, stability, error estimation.
Tipo

Conference Paper