Threshold dynamics in a stochastic chemostat model under regime switching

被引:4
|
作者
Wang, Liang [1 ]
Jiang, Daqing [2 ,3 ,4 ]
Feng, Tao [5 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Math & Stat, Nanjing 210094, Peoples R China
[2] China Univ Petr East China, Coll Sci, Qingdao 266580, Peoples R China
[3] China Univ Petr East China, Minist Educ, Key Lab Unconvent Oil & Gas Dev, Qingdao 266580, Peoples R China
[4] King Abdulaziz Univ, Nonlinear Anal & Appl Math NAAM Res Grp, Dept Math, Jeddah, Saudi Arabia
[5] Yangzhou Univ, Sch Math Sci, Yangzhou 225002, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Stochastic chemostat; Regime switching; Persistence in mean; Extinction; Ergodicity; BREAK-EVEN CONCENTRATION; STATIONARY DISTRIBUTION; ASYMPTOTIC PROPERTIES; ERGODIC PROPERTY; COMPETITION; SYSTEMS; PERSISTENCE; EXCLUSION; STABILITY;
D O I
10.1016/j.physa.2022.127454
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
A stochastic chemostat model in random environments that is driven by Brownian motions and subjected to Markov regime switching is considered. The new break-even concentration, i.e., critical value between persistence in mean and extinction is explored for the microorganism species. Moreover, sufficient conditions for ergodicity and positive recurrence is established by using stochastic Lyapunov analysis. Numerical simulations are accomplished to verify the analytical results. (C) 2022 Elsevier B.V. All rights reserved.
引用
收藏
页数:16
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