RBF-Based Local Meshless Method for Fractional Diffusion Equations

Author:

Kamran Kamran1,Irfan Muhammad1,Alotaibi Fahad M.2ORCID,Haque Salma3,Mlaiki Nabil3ORCID,Shah Kamal34ORCID

Affiliation:

1. Department of Mathematics, Islamia College Peshawar, Jamrod Road, Peshawar 25120, Khyber Pakhtunkhwa, Pakistan

2. Department of Information Systems, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University, Jeddah 34025, Saudi Arabia

3. Department of Mathematics and Sciences, Prince Sultan University, P.O. Box 66833, Riyadh 11586, Saudi Arabia

4. Department of Mathematics, University of Malakand, Chakdara Dir(L) 18000, Khyber Pakhtunkhwa, Pakistan

Abstract

The fractional diffusion equation is one of the important recent models that can efficiently characterize various complex diffusion processes, such as in inhomogeneous or heterogeneous media or in porous media. This article provides a method for the numerical simulation of time-fractional diffusion equations. The proposed scheme combines the local meshless method based on a radial basis function (RBF) with Laplace transform. This scheme first implements the Laplace transform to reduce the given problem to a time-independent inhomogeneous problem in the Laplace domain, and then the RBF-based local meshless method is utilized to obtain the solution of the reduced problem in the Laplace domain. Finally, Stehfest’s method is utilized to convert the solution from the Laplace domain into the real domain. The proposed method uses Laplace transform to handle the fractional order derivative, which avoids the computation of a convolution integral in a fractional order derivative and overcomes the effect of time-stepping on stability and accuracy. The method is tested using four numerical examples. All the results demonstrate that the proposed method is easy to implement, accurate, efficient and has low computational costs.

Funder

Prince Sultan University, Saudi Arabia

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

Reference67 articles.

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3. Samko, S.G., Kilbas, A.A., and Marichev, O.I. (1993). Fractional Integrals and Derivatives (Theory and Applications), Gordon and Breach Science Publishers.

4. The random walk’s guide to anomalous diffusion: A fractional dynamics approach;Metzler;Phys. Rep.,2000

5. Hilfer, R. (2000). Applications of Fractional Calculus in Physics, World Scientific.

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