奥恩斯坦-乌伦贝克过程
独特性
平稳分布
波动性(金融)
数学
应用数学
消光(光学矿物学)
统计物理学
均值回归
随机过程
概率密度函数
计量经济学
数学优化
控制理论(社会学)
计算机科学
数学分析
统计
物理
人工智能
马尔可夫链
光学
控制(管理)
作者
Xiaojie Mu,Daqing Jiang,Tasawar Hayat,Jinde Cao,Yunhui Liao
出处
期刊:Nonlinear Dynamics
[Springer Science+Business Media]
日期:2022-01-29
卷期号:107 (3): 2805-2817
被引量:10
标识
DOI:10.1007/s11071-021-07093-9
摘要
Many turbidostat models are affected by environmental noise due to various complicated and uncertain factors, and Ornstein-Uhlenbeck process is a more effective and precise way. We formulate a stochastic turbidostat system incorporating Ornstein-Uhlenbeck process in this paper and develop dynamical behavior for the stochastic model, which includes the existence and uniqueness of globally positive equilibrium, sufficient conditions of the extinction, the existence of a unique stationary distribution and an expression of density function of quasi-stationary distribution around the positive solution of the deterministic model. The results indicate that the weaker volatility intensity can ensure the existence and uniqueness of the stationary distribution, and the stronger reversion speed can lead to the extinction of microorganisms. Numerical simulations verify the validity of the analysis results, which assess the influence of the speed of reversion and the intensity of volatility on the long-term behavior of microorganisms.
科研通智能强力驱动
Strongly Powered by AbleSci AI