Nonsmooth dynamics of a Filippov predator–prey ecological model with antipredator behavior

IF 3.1 3区 数学 Q1 MATHEMATICS Advances in Difference Equations Pub Date : 2024-05-10 DOI:10.1186/s13662-024-03808-5
Lidong Huang, Wenjie Qin, Shuai Chen
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Abstract

This article proposes a class of nonsmooth Filippov pest–predator ecosystems with intermittent control strategies based on the pest’s antipredator behavior. aiming to investigate the influence of control strategies and switching thresholds on pest control. First, a comprehensive theoretical analysis of various equilibria within the Filippov system is undertaken, emphasizing the presence and stability of sliding mode dynamics and pseudoequilibrium. Secondly, through numerical simulations, the article discusses boundary-focus, boundary-node, and boundary-saddle bifurcation. Finally, the nonexistence of limit cycles in the Filippov system is theoretically studied. The research indicates that the solution trajectories of the model ultimately stabilize either at the real equilibria or at pseudoequilibrium on the model’s switching surface. Moreover, when the model has multiple coexisting real equilibrium and pseudoequilibrium, the pest-control strategy is correlated with the initial density of both the pest and the predator population.

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具有反捕食者行为的菲利波夫捕食者-猎物生态模型的非平稳动力学
本文基于害虫的反捕食行为,提出了一类具有间歇控制策略的非光滑菲利波夫害虫-捕食者生态系统,旨在研究控制策略和切换阈值对害虫控制的影响。首先,对菲利波夫系统内的各种平衡状态进行了全面的理论分析,强调了滑模动力学和伪平衡的存在和稳定性。其次,文章通过数值模拟讨论了边界-焦点、边界-节点和边界-马鞍分叉。最后,从理论上研究了菲利波夫系统不存在极限循环的问题。研究表明,模型的解轨迹最终会稳定在模型切换面上的真实平衡或伪平衡处。此外,当模型存在多个共存的真实平衡和伪平衡时,害虫控制策略与害虫和捕食者种群的初始密度相关。
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来源期刊
Advances in Difference Equations
Advances in Difference Equations MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
8.60
自引率
0.00%
发文量
0
审稿时长
4-8 weeks
期刊介绍: The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions. The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between. The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations. Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.
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