数学
流行病模型
李雅普诺夫函数
应用数学
离散化
指数稳定性
理论(学习稳定性)
稳定性理论
颂歌
边界(拓扑)
Neumann边界条件
变量(数学)
数学分析
非线性系统
计算机科学
量子力学
人口
社会学
机器学习
人口学
物理
作者
Toshikazu Kuniya,Jinliang Wang
标识
DOI:10.1080/00036811.2016.1199796
摘要
This paper deals with the problem of global asymptotic stability for equilibria of a spatially diffusive SIR epidemic model with homogeneous Neumann boundary condition. By discretizing the model with respect to the space variable, we first construct Lyapunov functions for the corresponding ODEs model, and then broaden the construction method into the PDEs model in which either susceptible or infective populations are diffusive. In both cases, we obtain the standard threshold dynamical behaviors, that is, if , then the disease-free equilibrium is globally asymptotically stable and if , then the (strictly positive) endemic equilibrium is so. Numerical examples are given to illustrate the effectiveness of the theoretical results.
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