Fokker–Planck equations for stochastic dynamical systems with symmetric Lévy motions

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摘要

The Fokker–Planck equations for stochastic dynamical systems, with non-Gaussian α-stable symmetric Lévy 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.

论文关键词:Non-Gaussian noise,α-stable symmetric Lévy motion,Fractional Laplacian operator,Fokker–Planck equation,Maximum principle,Toeplitz matrix

论文评审过程:Received 5 August 2015, Revised 9 November 2015, Accepted 3 January 2016, Available online 5 February 2016, Version of Record 5 February 2016.

论文官网地址:https://doi.org/10.1016/j.amc.2016.01.010