%0 Journal Article
%T 一类随机的SIR流行病模型的动力学行为分析<br>Dynamic behavior analysis of a stochastic SIR epidemic model
%A 白宝丽
%A 张建刚
%A 杜文举
%A 闫宏明&lt
%A br&gt
%A BAI Bao-li
%A ZHANG Jian-gang
%A DU Wen-ju
%A YAN Hong-ming
%J 山东大学学报（理学版）
%D 2017
%R 10.6040/j.issn.1671-9352.0.2016.614
%X 摘要： 首先对受参数扰动的具有阶段结构的SIR流行病模型引入随机项,建立了具有阶段结构的随机SIR流行病模型的非线性微分方程,应用随机中心流形定理和随机平均法相关定理将其化为Ito微分方程。然后,基于Oseledec乘性遍历理论,应用最大Lyapunov指数和奇异边界理论分别分析了该随机系统的局部随机稳定性和全局随机稳定性;利用拟不可积Hamilton系统随机平均法对系统的随机Hopf分岔行为作了分析。最后,选取其中的某些参数作为分叉参数得到相应的平稳概率密度函数图和联合概率密度函数图,对发生分岔的概率和位置进行了验证。<br>Abstract: Taking the random factors into account,we introduced the randomness into the SIR epidemic model and established the nonlinear differential equation of the random SIR epidemic model with stage structure. Then by applying stochastic center manifold and stochastic average method,the stochastic differential equation was reduced order and we got the corresponding Ito differential equation. Based on the Oseledec multiplicative ergodic theorem,the conditions of local and global stability of the system were discussed by using the largest Lyapunov exponent and boundary category. Besides,we selected some of these parameters as the bifurcate parameter,and the stochastic Hopf bifurcation behavior of the system were analyzed by the stochastic averaging method of the quasi-non-integrable Hamiltonian system. Finally,the functional image of stationary probability density and jointly stationary probability density were simulated,and the bifurcate point from the probability and location was verified
%K 随机Hopf分岔
%K 随机SIR流行病模型
%K 随机稳定性
%K Hamilton理论
%K &lt
%K br&gt
%K stochastic SIR epidemic model
%K Hamilton theory
%K stochastic Hopf bifurcation
%K stochastic stability
%U http://lxbwk.njournal.sdu.edu.cn/CN/10.6040/j.issn.1671-9352.0.2016.614