个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:数学科学学院院长、党委副书记
性别:男
毕业院校:吉林大学
学位:博士
所在单位:数学科学学院
学科:应用数学. 应用数学. 概率论与数理统计. 概率论与数理统计
办公地点:数学楼520室
联系方式:0411-84706570,0411-84708351-8520
电子邮箱:zxliu@dlut.edu.cn
Concentration and limit behaviors of stationary measures
点击次数:
论文类型:期刊论文
发表时间:2018-04-15
发表刊物:PHYSICA D-NONLINEAR PHENOMENA
收录刊物:SCIE、EI
卷号:369
页面范围:1-17
ISSN号:0167-2789
关键字:Fokker-Planck equation; Stationary measure; Limit measure; Concentration; Stochastic stability; White noise perturbation
摘要:In this paper, we study limit behaviors of stationary measures of the Fokker-Planck equations associated with a system of ordinary differential equations perturbed by a class of multiplicative noise including additive white noise case. As the noises are vanishing, various results on the invariance and concentration of the limit measures are obtained. In particular, we show that if the noise perturbed systems admit a uniform Lyapunov function, then the stationary measures form a relatively sequentially compact set whose weak*-limits are invariant measures of the unperturbed system concentrated on its global attractor. In the case that the global attractor contains a strong local attractor, we further show that there exists a family of admissible multiplicative noises with respect to which all limit measures are actually concentrated on the local attractor; and on the contrary, in the presence of a strong local repeller in the global attractor, there exists a family of admissible multiplicative noises with respect to which no limit measure can be concentrated on the local repeller. Moreover, we show that if there is a strongly repelling equilibrium in the global attractor, then limit measures with respect to typical families of multiplicative noises are always concentrated away from the equilibrium. As applications of these results, an example of stochastic Hopf bifurcation and an example with non-decomposable omega-limit sets are provided.
Our study is closely related to the problem of noise stability of compact invariant sets and invariant measures of the unperturbed system. (C) 2017 Elsevier B.V. All rights reserved.