Finite difference/generalized Hermite spectral method for the distributed-order time-fractional reaction-diffusion equation on multi-dimensional unbounded domains

被引:0
|
作者
Guo, Shimin [1 ]
Chen, Yaping [2 ]
Mei, Liquan [1 ]
Song, Yining [1 ]
机构
[1] School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an,710049, China
[2] School of Mathematics and Statistics, Xi'an Key Laboratory of Scientific Computation and Applied Statistics, Northwestern Polytechnical University, Xi'an,710129, China
来源
Computers and Mathematics with Applications | 2021年 / 93卷
基金
中国国家自然科学基金;
关键词
Linear equations - Diffusion in liquids - Differentiation (calculus) - Partial differential equations;
D O I
暂无
中图分类号
O172 [微积分];
学科分类号
摘要
Distributed-order fractional differential equations, where the differential order is distributed over a range of values rather than being just a fixed value as it is in the classical differential equations, offer a powerful tool to describe multi-physics phenomena. In this article, we develop and analyze an efficient finite difference/generalized Hermite spectral method for the distributed-order time-fractional reaction-diffusion equation on one-, two-, and three-dimensional unbounded domains. Considering the Gauss-Legendre quadrature rule for the distributed integral term in temporal direction, we first approximate the original distributed-order time-fractional problem by the multi-term time-fractional differential equation. Then, we apply the L2-1σ formula for the discretization of the multi-term Caputo fractional derivatives. Moreover, we employ the generalized Hermite functions with scaling factor for the spectral approximation in space. The detailed implementations of the method are presented for one-, two-, and three-dimensional cases of the fractional problem. The stability and convergence of the method are strictly established, which shows that the proposed method is unconditionally stable and convergent with second-order accuracy in time. In addition, the optimal error estimate is derived for the space approximation. Finally, we perform numerical examples to support the theoretical claims. © 2021
引用
收藏
页码:1 / 19
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