Numerical solutions of space-fractional diffusion equations via the exponential decay kernel

The main object of this paper is to investigate the spectral collocation method for three new models of space fractional Fisher equations based on the exponential decay kernel, for which properties of Chebyshev polynomials are utilized to reduce these models to a set of differential equations. We then numerically solve these differential equations using finite differences, with the resulting algebraic equations solved using Newton's method. The accuracy of the numerical solution is verified by computing the residual error function. Additionally, the numerical results are compared with other results obtained using the power law kernel and the Mittag-Leffler kernel. The advantage of the present work stems from the use of spectral methods, which have high accuracy and exponential convergence for problems with smooth solutions. The numerical solutions based on Chebyshev polynomials are in remarkably good agreement with numerical solutions obtained using the power law and the Mittag-Leffler kernels. Mathematica was used to obtain the numerical solutions.

Automated summary

This paper investigates the spectral collocation method for three new models of space fractional Fisher equations based on the exponential decay kernel. Chebyshev polynomials are used to reduce these models to a set of differential equations. The numerical solutions obtained using finite differences and Newton's method are accurate and in good agreement with solutions obtained using other kernel functions. The use of spectral methods in this work provides high accuracy and exponential convergence for problems with smooth solutions.