定性分析连续分阶猎物-食肉动物模型的离散化以及种群中的捕食和移民效应

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Complexity Pub Date : 2024-02-02 DOI:10.1155/2024/8855142
Md. Jasim Uddin, Sarker Md. Sohel Rana
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引用次数: 0

摘要

本研究考察了卡普托分数导数意义上的离散猎物-捕食者模型,将捕食者种群的收获和猎物种群的移民结合在一起。我们建立了模型定点的拓扑类别。我们通过分析表明,在特定参数条件下,分数阶猎物-捕食者模型支持Neimark-Sacker(NS)分岔和周期加倍(PD)分岔。利用中心流形和分岔理论,我们提供了 NS 和 PD 分岔的证据。研究发现,参数值和初始条件对分数阶猎物-捕食者模型的动力学行为有重大影响。此外,还应用了两种混沌管理策略来消除模型中客观存在的混沌。最后,我们利用数值模拟来演示复杂的混沌行为,以支持我们的理论和分析讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Qualitative Analysis of the Discretization of a Continuous Fractional Order Prey-Predator Model with the Effects of Harvesting and Immigration in the Population

This study examines the discrete prey-predator model in the sense of Caputo fractional derivative by incorporating harvesting on the predator population and immigration on the prey population. We establish the topological categories of the model’s fixed points. We show analytically that a fractional order prey-predator model supports both a Neimark–Sacker (NS) bifurcation and a period-doubling (PD) bifurcation under specific parametric circumstances. Using the central manifold and bifurcation theory, we provide evidence for NS and PD bifurcations. It has been discovered that the parameter values and the initial conditions have a significant influence on the dynamical behavior of the fractional order prey-predator model. Furthermore, two chaos management strategies are applied to eliminate the chaos that objectively exists in the model. Finally, numerical simulations are used to demonstrate complicated and chaotic behavior in order to support our theoretical and analytical discussions.

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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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