Fokker-Planck equations for stochastic dynamical systems with symmetric Levy motions

被引:40
|
作者
Gao, Ting [1 ]
Duan, Jinqiao [1 ]
Li, Xiaofan [1 ]
机构
[1] IIT, Dept Appl Math, Chicago, IL 60616 USA
基金
美国国家科学基金会;
关键词
Non-Gaussian noise; alpha-stable symmetric Levy motion; Fractional Laplacian operator; Fokker-Planck equation; Maximum principle; Toeplitz matrix; FINITE-DIFFERENCE APPROXIMATIONS; EFFICIENT IMPLEMENTATION; DIFFUSION; DRIVEN; TIME;
D O I
10.1016/j.amc.2016.01.010
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The Fokker-Planck equations for stochastic dynamical systems, with non-Gaussian alpha-stable symmetric Levy motions, have a nonlocal or fractional Laplacian term. This nonlocality is the manifestation of the effect of non-Gaussian fluctuations. Taking advantage of the Toeplitz matrix structure of the time-space discretization, a fast and accurate numerical algorithm is proposed to simulate the nonlocal Fokker-Planck equations on either a bounded or infinite domain. Under a specified condition, the scheme is shown to satisfy a discrete maximum principle and to be convergent. It is validated against a known exact solution and the numerical solutions obtained by using other methods. The numerical results for two prototypical stochastic systems, the Ornstein-Uhlenbeck system and the double-well system are shown. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:1 / 20
页数:20
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