平流环境中流行病学捕食者-猎物系统的动力学。

IF 2.2 4区 数学 Q2 BIOLOGY Journal of Mathematical Biology Pub Date : 2024-07-15 DOI:10.1007/s00285-024-02125-5
Yang Hua, Zengji Du, Jiang Liu
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引用次数: 0

摘要

本文旨在为平流环境中的空间生态流行病学捕食-猎物系统建立连接不同平衡态的行波解。应用行波坐标后,这些解对应于相空间中的异面轨道。我们用射击法研究了从边界均衡到共存均衡的行波解的存在性。与黄宗智介绍的技术不同,我们通过构造一个特殊的有界集,直接证明了解向共存均衡的收敛性。此外,我们构建的 Lyapunov 型函数不需要下面有界的条件。我们的方法为研究关于共存均衡的行波解的存在提供了一种不同的途径。我们利用定性理论和几何奇异扰动理论证明了共存均衡之间行波解的存在性。文中还讨论了其他一些悬而未决的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Dynamics of the epidemiological Predator-Prey system in advective environments.

This paper aims to establish the existence of traveling wave solutions connecting different equilibria for a spatial eco-epidemiological predator-prey system in advective environments. After applying the traveling wave coordinates, these solutions correspond to heteroclinic orbits in phase space. We investigate the existence of the traveling wave solution connecting from a boundary equilibrium to a co-existence equilibrium by using a shooting method. Different from the techniques introduced by Huang, we directly prove the convergence of the solution to a co-existence equilibrium by constructing a special bounded set. Furthermore, the Lyapunov-type function we constructed does not need the condition of bounded below. Our approach provides a different way to study the existence of traveling wave solutions about the co-existence equilibrium. The existence of traveling wave solutions between co-existence equilibria are proved by utilizing the qualitative theory and the geometric singular perturbation theory. Some other open questions of interest are also discussed in the paper.

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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.
期刊最新文献
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