Electron. J. Differential Equations, Vol. 2019 (2019), No. 116, pp. 1-19.

Markov semigroup approach to the analysis of a nonlinear stochastic plant disease model

Haokun Qi, Xinzhu Meng, Zhengbo Chang

Abstract:
In this article, we consider a stochastic plant disease model with logistic growth and saturated incidence rate. We analyze long-term behaviors of densities of the distributions of the solution. On the basis of the theory of Markov semigroup, we obtain the existence of asymptotically stable stationary distribution density of the stochastic system. We demonstrate that the densities can converge in L^1 to an invariant density under appropriate conditions. Moreover, we obtain the sufficient conditions for extinction of the disease. Also, we present a series of numerical simulations to illustrate our theoretical results.

Submitted March 4, 2019. Published October 18, 2019.
Math Subject Classifications: 34D05, 60H10, 92B05.
Key Words: Plant disease model; Markov semigroup; stationary distribution; extinction.

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Haokun Qi
College of Mathematics and Systems Science
Shandong University of Science and Technology
Qingdao 266590, China
email: haokun_2017@163.com
Xinzhu Meng
College of Mathematics and Systems Science
Shandong University of Science and Technology
Qingdao 266590, China
email: mxz721106@sdust.edu.cn
Zhengbo Chang
College of Mathematics and Systems Science
Shandong University of Science and Technology
Qingdao 266590, China
email: zbchang98@126.com

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