具有非局部离散存储器的弥漫性资源消耗模型的动力学分析

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Haihui Wu, Xiaoqin Shen, Aili Wang, Qian Li
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引用次数: 0

摘要

本文基于消费者记忆对空间资源分布的重要性,提出了一种包含非局部离散记忆的消费者资源模型。通过深入的分岔和稳定性分析,我们确定了Hopf分岔和Turing分岔发生的条件,并揭示了一种独特的动态现象,即图灵- Hopf分岔,这在没有非局部离散存储器的模型中是不常见的。我们还发现,随着存储延迟的增加,空间非齐次周期解和稳态解都可能消失,而不稳定的正齐次稳态可能恢复稳定。在此基础上,利用范式理论,导出了一种新的有效算法来确定扩散分量包含时滞积分项的模型的Hopf分岔方向和稳定性。此外,我们进行了数值模拟来验证我们的理论发现,特别是评估延迟诱导的1型Hopf分岔的方向和稳定性。我们的新方法用于此目的,并得到了严格的数值分析结果的证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamics Analysis for Diffusive Resource-Consumer Model With Nonlocal Discrete Memory

In this paper, based on the importance of consumer memory on spatial resource distribution, we propose a novel consumer-resource model that incorporates nonlocal discrete memory. By conducting thorough bifurcation and stability analysis, we determine the conditions for the occurrence of Hopf and Turing bifurcations and reveal a unique dynamic phenomenon termed Turing–Hopf bifurcation, which is uncommon in models without nonlocal discrete memory. We also show that as the memory delay increases, both the spatially nonhomogeneous periodic and steady-state solutions may vanish, and the unstable positive homogeneous steady state may regain stability. Furthermore, leveraging the theory of normal forms, we derive a new effective algorithm to determine the direction and stability of Hopf bifurcation in a model where the diffusion component incorporates an integral term with delay. In addition, we perform numerical simulations to validate our theoretical findings, particularly to assess the direction and stability of the delay-induced mode-1 Hopf bifurcation. Our new method is used for this purpose, and the results have been confirmed by rigorous numerical analysis.

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来源期刊
Studies in Applied Mathematics
Studies in Applied Mathematics 数学-应用数学
CiteScore
4.30
自引率
3.70%
发文量
66
审稿时长
>12 weeks
期刊介绍: Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.
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