非自主三物种比例依赖性扩散捕食者-猎物模型的稳定性标准

IF 3.1 3区 数学 Q1 MATHEMATICS Advances in Difference Equations Pub Date : 2024-08-14 DOI:10.1186/s13662-024-03827-2
Lili Jia, Changyou Wang
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引用次数: 0

摘要

本文研究了非自治的 3 种比例依赖性扩散捕食-猎物模型的全局稳定性。首先,利用微分方程比较定理和定点定理,实现了一些易于验证的充分条件,这些条件保证了具有扩散性和可变系数的比依赖捕食者-猎物模型(RDPPM)的严格正空间同源周期解(SHPS)的存在。同时,作为副产品,还发展了一些新的分析技术。其次,利用抛物线偏微分方程的上下解(UALS)方法和 Lyapunov 稳定性理论,给出了确保扩散非自主捕食者-猎物模型的严格正 SHPS 全局渐近稳定的一些充分条件。此外,还给出了两个数值实例来验证本文的理论结果。
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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Stability criterion of a nonautonomous 3-species ratio-dependent diffusive predator-prey model

The global stability of a nonautonomous 3-species ratio-dependent diffusive predator-prey model is studied in this paper. Firstly, some easily verifiable sufficient conditions which guarantee the existence of the strictly positive space homogenous periodic solution (SHPS) of the ratio- dependent predator-prey model (RDPPM) with diffusive and variable coefficient are achieved by using a comparison theorem of differential equation and fixed point theorem. At the same time, some new analysis techniques are developed as a byproduct. Secondly, some sufficient conditions ensuring the globally asymptotically stability of the strictly positive SHPS of the diffusive nonautonomous predator-prey model are given by using the method of upper and lower solutions (UALS) for the parabolic partial differential equations and Lyapunov stability theory. In addition, two numerical examples are given to validate the theoretical results obtained in this paper.

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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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