Dynamic Behavior of a Stochastic Amensalism Population Model

AI Xiao-hui; DENG Wen-bo; LI Peng-zhe

doi:10.15938/j.jhust.2022.03.019

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Dynamic Behavior of a Stochastic Amensalism Population Model

更新时间：2026-08-31

- Dynamic Behavior of a Stochastic Amensalism Population Model
- Vol. 27, Issue 3, Pages: 140-146(2022)
- 作者机构：
  
  东北林业大学理学院,哈尔滨,150040
- 作者简介：
- 基金信息：
- DOI：10.15938/j.jhust.2022.03.019
  CLC： O211.63
- Published：2022
- 稿件说明：
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AI Xiao-hui, DENG Wen-bo, LI Peng-zhe. Dynamic Behavior of a Stochastic Amensalism Population Model[J]. 2022, 27(3): 140-146.
DOI：

AI Xiao-hui, DENG Wen-bo, LI Peng-zhe. Dynamic Behavior of a Stochastic Amensalism Population Model[J]. 2022, 27(3): 140-146. DOI： 10.15938/j.jhust.2022.03.019.

摘要

针对受环境因素影响的偏害共生动力学问题，依据随机微分方程理论，采用引入白噪声的方法，建立了随机偏害共生动力学模型，并研究了随机偏害共生种群模型的动力学行为。首先证明了随机偏害共生动力学模型全局正解的存在性，其次利用伊藤公式和切比雪夫不等式证明了随机偏害共生动力学模型解的随机最终有界性，再次分析了随机偏害共生动力学模型解的矩的渐近性质，最后通过数值模拟验证了理论结果。

Abstract

Aiming at the problem of biased symbiosis dynamics affected by environmental factors

according to the theory of stochastic differential equation

the stochastic biased symbiosis dynamics model is established by introducing white noise

and the dynamic behavior of the stochastic biased symbiosis population model is studied. Firstly

the existence of global positive solution of the stochastic partial hazard symbiosis dynamics model is proved. Secondly

the stochastic ultimate boundedness of the solution of the stochastic partial hazard symbiosis dynamics model is proved by using the Ito^ formula and Chebyshev inequality. Thirdly

the asymptotic properties of the moment of the solution of the stochastic partial hazard symbiosis dynamics model are analyzed. Finally

the theoretical results are verified by numerical simulation.

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