基于Ornstein-Uhlenbeck过程的猎物-捕食者食物链恒化模型的动态特性

IF 2.1 3区 数学 Q1 MATHEMATICS, APPLIED
Xiao Chen, Miaomiao Gao, Yanhui Jiang, Daqing Jiang
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引用次数: 0

摘要

生态系统中的食物链是一个复杂的、相互联系的生物系统,它们相互依赖,也依赖于它们所处的环境。Chemostat模型可以用来评估食物链的稳定性和弹性,以及系统面对不同干扰和环境变化的响应能力。本文建立了一个具有Ornstein-Uhlenbeck过程的捕食者-捕食者食物链趋化模型,并考虑了该随机模型的动态性。首先,我们证明了全局解的存在唯一性。其次,我们推导了两种情况下的灭绝:一种是猎物和捕食者的灭绝,另一种是捕食者的灭绝和猎物的生存。此外,通过构造适当的Lyapunov函数,我们得到了平稳分布存在的充分条件,即猎物和捕食者可以在很长一段时间内共存。在此基础上,给出了相应确定性系统正平衡点周围分布的密度函数的具体表达式。最后,通过数值模拟验证了理论结果的正确性,并展示了回归速度和波动强度对食物链行为的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Properties of a Prey–Predator Food Chain Chemostat Model With Ornstein–Uhlenbeck Process

The food chain in an ecosystem is a complex, interconnected system of organisms that depend on each other and their environment. Chemostat model can be used to evaluate the stability and resilience of the food chain, as well as the response capacity of the system in the face of different disturbances and environmental changes. In this paper, we construct a prey–predator food chain chemostat model with Ornstein–Uhlenbeck processes and consider the dynamics of this stochastic model. Firstly, we prove the existence and uniqueness of the global solution. Secondly, we deduce the extinction in two cases: One is the extinction of prey and predator, and the other is the extinction of predator and the survival of prey. In addition, by constructing appropriate Lyapunov functions, we obtain the sufficient condition for the existence of stationary distribution, which means that prey and predator can coexist over a long period of time. Then, on this basis, we give the concrete expression of the density function of the distribution around the positive equilibrium point of corresponding deterministic system. Finally, numerical simulations prove the correctness of the theoretical results and show how the speed of reversion and intensity of volatility affect the food chain behavior.

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来源期刊
CiteScore
4.90
自引率
6.90%
发文量
798
审稿时长
6 months
期刊介绍: Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc. Papers dealing with biomathematical content, population dynamics and network problems are most welcome. Mathematical Methods in the Applied Sciences is an interdisciplinary journal: therefore, all manuscripts must be written to be accessible to a broad scientific but mathematically advanced audience. All papers must contain carefully written introduction and conclusion sections, which should include a clear exposition of the underlying scientific problem, a summary of the mathematical results and the tools used in deriving the results. Furthermore, the scientific importance of the manuscript and its conclusions should be made clear. Papers dealing with numerical processes or which contain only the application of well established methods will not be accepted. Because of the broad scope of the journal, authors should minimize the use of technical jargon from their subfield in order to increase the accessibility of their paper and appeal to a wider readership. If technical terms are necessary, authors should define them clearly so that the main ideas are understandable also to readers not working in the same subfield.
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