Communications on Applied Mathematics and Computation ›› 2020, Vol. 2 ›› Issue (2): 305-318.doi: 10.1007/s42967-019-00053-6

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Jacobi Collocation Methods for Solving Generalized Space-Fractional Burgers' Equations

Qingqing Wu, Xiaoyan Zeng   

  1. Department of Mathematics, Shanghai University, Shanghai 200444, China
  • Received:2019-05-12 Revised:2019-10-06 Online:2020-06-20 Published:2020-02-19
  • Contact: Xiaoyan Zeng E-mail:cherryzxy@shu.edu.cn

Abstract: The aim of this paper is to obtain the numerical solutions of generalized space-fractional Burgers' equations with initial-boundary conditions by the Jacobi spectral collocation method using the shifted Jacobi-Gauss-Lobatto collocation points. By means of the simplifed Jacobi operational matrix, we produce the diferentiation matrix and transfer the space-fractional Burgers' equation into a system of ordinary diferential equations that can be solved by the fourth-order Runge-Kutta method. The numerical simulations indicate that the Jacobi spectral collocation method is highly accurate and fast convergent for the generalized space-fractional Burgers' equation.

Key words: Generalized space-fractional Burgers' equations, Jacobi spectral collocation methods, Diferentiation matrix, Shifted Jacobi-Gauss-Lobatto collocation points

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