Detailed analysis of a conservative difference approximation for the time fractional diffusion equation
Author(s) -
Siqi Shen,
Fawang Liu,
Vo Anh,
Ian Turner
Publication year - 2006
Publication title -
journal of applied mathematics and computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 36
eISSN - 1865-2085
pISSN - 1598-5865
DOI - 10.1007/bf02832034
Subject(s) - mathematics , fractional calculus , diffusion equation , random walk , stability (learning theory) , bounded function , anomalous diffusion , partial differential equation , diffusion , numerical analysis , domain (mathematical analysis) , continuous time random walk , mathematical analysis , computer science , statistics , knowledge management , physics , economy , innovation diffusion , machine learning , economics , thermodynamics , service (business)
Diffusion equations that use time fractional derivatives are attractive because they describe a wealth of problems involving non-Markovian Random walks. The time fractional diffusion equation (TFDE) is obtained from the standard diffusion equation by replacing the first-order time derivative with a fractional derivative of order α∃ (0,1). Developing numerical methods for solving fractional partial differential equations is a new research field and the theoretical analysis of the numerical methods associated with them is not fully developed. In this paper an explicit conservative difference approximation (ECDA) for TFDE is proposed. We give a detailed analysis for this ECDA and generate discrete models of random walk suitable for simulating random variables whose spatial probability density evolves in time according to this fractional diffusion equation. The stability and convergence of the ECDA for TFDE in a bounded domain are discussed. Finally, some numerical examples are presented to show the application of the present technique.
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