奥恩斯坦-乌伦贝克过程
阿利效应
数学
随机过程
平稳分布
应用数学
统计物理学
人口
连续时间随机过程
随机建模
概率密度函数
消光(光学矿物学)
人口模型
随机微分方程
统计
物理
人口学
光学
社会学
马尔可夫链
作者
Baoquan Zhou,Daqing Jiang,Tasawar Hayat
标识
DOI:10.1016/j.cnsns.2022.106450
摘要
Considering the survival regulation mechanisms of many groups of animals and the complexity of random variations in ecosystem, in this paper, we mainly formulate and study a stochastic non-autonomous population model with Allee effects and two mean-reverting Ornstein–Uhlenbeck processes. First, the biological implication of introducing the Ornstein–Uhlenbeck process is illustrated. After that, we give the existence and moment estimate of a global solution of the stochastic model. Then the sufficient criteria for exponential extinction and the existence of a stationary distribution of the stochastic model are established. Moreover, there are some challenges to give the explicit expression of probability density function of the stationary distribution. By solving the relevant Fokker–Planck equation, we derive the approximate expression of the density function of the stochastic model. Finally, some numerical simulations are provided to verify our analytical results and study the impact of stochastic noises on population dynamics.
科研通智能强力驱动
Strongly Powered by AbleSci AI