Hopf bifurcation in an age-structured predator–prey system with Beddington–DeAngelis functional response and constant harvesting

IF 2.3 4区 数学 Q2 BIOLOGY Journal of Mathematical Biology Pub Date : 2024-04-04 DOI:10.1007/s00285-024-02070-3
San-Xing Wu, Zhi-Cheng Wang, Shigui Ruan
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Abstract

In this paper, an age-structured predator–prey system with Beddington–DeAngelis (B–D) type functional response, prey refuge and harvesting is investigated, where the predator fertility function f(a) and the maturation function \(\beta (a)\) are assumed to be piecewise functions related to their maturation period \(\tau \). Firstly, we rewrite the original system as a non-densely defined abstract Cauchy problem and show the existence of solutions. In particular, we discuss the existence and uniqueness of a positive equilibrium of the system. Secondly, we consider the maturation period \(\tau \) as a bifurcation parameter and show the existence of Hopf bifurcation at the positive equilibrium by applying the integrated semigroup theory and Hopf bifurcation theorem. Moreover, the direction of Hopf bifurcation and the stability of bifurcating periodic solutions are studied by applying the center manifold theorem and normal form theory. Finally, some numerical simulations are given to illustrate of the theoretical results and a brief discussion is presented.

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具有贝丁顿-德安吉利斯功能响应和恒定收获的年龄结构捕食者-猎物系统中的霍普夫分岔
本文研究了一个具有贝丁顿-德安吉利斯(B-D)型功能响应、猎物避难和捕食的年龄结构捕食者-猎物系统,其中假定捕食者生育率函数f(a)和成熟度函数\(\beta (a)\)是与其成熟期相关的片断函数\(\tau \)。首先,我们将原系统重写为一个非密集定义的抽象考奇问题,并证明解的存在性。特别是,我们讨论了系统正平衡的存在性和唯一性。其次,我们将成熟期(\tau \)视为分岔参数,并应用集成半群理论和霍普夫分岔定理证明了正平衡处霍普夫分岔的存在性。此外,还运用中心流形定理和正态理论研究了霍普夫分岔的方向和分岔周期解的稳定性。最后,给出了一些数值模拟来说明理论结果,并进行了简要讨论。
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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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