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复杂系统与复杂性科学  2024, Vol. 21 Issue (2): 89-103    DOI: 10.13306/j.1672-3813.2024.02.012
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
具有避难所和Ornstein-Uhlenbeck过程的随机三种群捕食模型的持久与灭绝
苏晓明, 陈波
沈阳工业大学理学院,沈阳 110870
Persistence and Extinction of a Stochastic Three-population Predation Model with Refuge and Ornstein-Uhlenbeck Process
SU Xiaoming, CHEN Bo
School of Science, Shenyang University of Technology, Shenyang 110870, China
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摘要 目前大多数的捕食模型都是用白噪声描述环境的随机性,针对真实情境下,模型中的参数可能满足Ornstein-Uhlenbeck过程的问题,提出具有避难所和Ornstein-Uhlenbeck过程的随机三种群捕食模型。利用伊藤公式、微分不等式及随机分析理论对模型进行动力学行为分析。证明了模型全局正解的存在唯一性,分别得到了每个种群平均持久生存和灭绝的充分条件,最后利用python进行数值模拟,验证了定理中所得到的结论,并进一步研究了避难所对种群数量的影响。
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苏晓明
陈波
关键词 Ornstein-Uhlenbeck过程避难所平均持久性灭绝性    
Abstract:Most current predation models describe the stochastic nature of the environment in terms of white noise, for the problem that the parameters in the model may satisfy the Ornstein-Uhlenbeck process in a real situation, a stochastic three-species predation model with refuge and Ornstein-Uhlenbeck process is proposed. The dynamic behavior of the model is analyzed by its formula, differential inequality and stochastic analysis theory. The existence and uniqueness of the global positive solution of the model are proved, sufficient conditions for the average persistence and extinction of each population were obtained separately, finally, python is used to carry out numerical simulation to verify the conclusions obtained in the theorem, and further study the impact of refuge on population size.
Key wordsOrnstein-Uhlenbeck processes    refuge    average persistence    extinction
收稿日期: 2022-05-19      出版日期: 2024-07-17
ZTFLH:  O175  
  TB3  
基金资助:国家自然科学基金资助项目(61074005);辽宁省高等学校优秀人才支持计划项目(LR2012005)
通讯作者: 陈波(1996-),男,重庆人,硕士研究生,主要研究方向为生物数学。   
作者简介: 第一作者: 苏晓明(1964-),男,辽宁朝阳人,博士,教授,主要研究方向为应用数学。
引用本文:   
苏晓明, 陈波. 具有避难所和Ornstein-Uhlenbeck过程的随机三种群捕食模型的持久与灭绝[J]. 复杂系统与复杂性科学, 2024, 21(2): 89-103.
SU Xiaoming, CHEN Bo. Persistence and Extinction of a Stochastic Three-population Predation Model with Refuge and Ornstein-Uhlenbeck Process[J]. Complex Systems and Complexity Science, 2024, 21(2): 89-103.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2024.02.012      或      https://fzkx.qdu.edu.cn/CN/Y2024/V21/I2/89
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