Periodic Solution and Ergodic Stationary Distribution of Stochastic SIRI Epidemic Systems with Nonlinear Perturbations

被引:0
|
作者
Weiwei Zhang
Xinzhu Meng
Yulin Dong
机构
[1] Shandong University of Science and Technology,College of Electrical Engineering and Automation
[2] Shandong University of Science and Technology,College of Mathematics and Systems Science
[3] Shandong University of Science and Technology,State Key Laboratory of Mining Disaster Prevention and Control Co
关键词
Extinction and stochastic permanence; Markov chain; periodic solution; stationary distribution and ergodicity; stochastic SIRI epidemic model;
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学科分类号
摘要
This paper formulates two stochastic nonautonomous SIRI epidemic systems with nonlinear perturbations. The main aim of this study is to investigate stochastic dynamics of the two SIRI epidemic systems and obtain their thresholds. For the nonautonomous stochastic SIRI epidemic system with white noise, the authors provide analytic results regarding the stochastic boundedness, stochastic permanence and persistence in mean. Moreover, the authors prove that the system has at least one nontrivial positive T-periodic solution by using Lyapunov function and Hasminskii’s theory. For the system with Markov conversion, the authors establish sufficient conditions for positive recurrence and existence of ergodic stationary distribution. In addition, sufficient conditions for the extinction of disease are obtained. Finally, numerical simulations are introduced to illustrate the main results.
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页码:1104 / 1124
页数:20
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