High order unconditionally stable difference schemes for the Riesz space-fractional telegraph equation
Data(s) |
2015
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Resumo |
In this paper, a class of unconditionally stable difference schemes based on the Pad´e approximation is presented for the Riesz space-fractional telegraph equation. Firstly, we introduce a new variable to transform the original dfferential equation to an equivalent differential equation system. Then, we apply a second order fractional central difference scheme to discretise the Riesz space-fractional operator. Finally, we use (1, 1), (2, 2) and (3, 3) Pad´e approximations to give a fully discrete difference scheme for the resulting linear system of ordinary differential equations. Matrix analysis is used to show the unconditional stability of the proposed algorithms. Two examples with known exact solutions are chosen to assess the proposed difference schemes. Numerical results demonstrate that these schemes provide accurate and efficient methods for solving a space-fractional hyperbolic equation. |
Formato |
application/pdf |
Identificador | |
Publicador |
Elsevier |
Relação |
http://eprints.qut.edu.au/82651/1/P4_Revised_CAM_CJLT_Y14m7d19.pdf DOI:10.1016/j.cam.2014.09.028 Chen, S., Jiang, X., Liu, F., & Turner, I. (2015) High order unconditionally stable difference schemes for the Riesz space-fractional telegraph equation. Journal of Computational and Applied Mathematics, 278, pp. 119-129. |
Direitos |
Copyright 2015 Elsevier This is the author’s version of a work that was accepted for publication in Journal of Computational and Applied Mathematics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Computational and Applied Mathematics, [VOL 278, (2015)] DOI: 10.1016/j.cam.2014.09.028 |
Fonte |
ARC Centre of Excellence for Mathematical & Statistical Frontiers (ACEMS); School of Mathematical Sciences; Science & Engineering Faculty |
Palavras-Chave | #010204 Dynamical Systems in Applications #010301 Numerical Analysis |
Tipo |
Journal Article |