空间运动与外显记忆和非局部妊娠延迟

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Xiaoxi Ding, Hao Shen, Yongli Song
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引用次数: 0

摘要

在描绘动物运动时,除了要考虑空间记忆,还要考虑动物本身的孕期。提出了一种具有离散记忆延迟和非局部时空妊娠延迟的单种群模型。假设正向平衡是局部稳定的,不存在时空延迟,本研究以记忆延迟和妊娠延迟为控制参数,研究了两种类型的定向运动。研究表明,对于正记忆扩散系数,系统通过齐次/非齐次Hopf分岔变得不稳定,而对于负记忆扩散系数,系统不仅经过Hopf分岔,而且通过图灵分岔变得不稳定,甚至可能出现图灵- Hopf分岔。最后,我们以具有捕食行为的扩散逻辑模型为例,对理论结果进行了数值模拟,并发现了稳定性切换现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Movement With Explicit Memory and Nonlocal Pregnancy Delay

In depicting animal movement, besides considering spatial memory, the pregnancy period of the animals themselves should also be taken into account. This article proposes a novel single-population model with discrete memory delay and nonlocal spatiotemporal gestation delay. Assuming the positive equilibrium is locally stable without spatiotemporal delay, the study investigates two types of directional movements using memory delay and gestation delay as control parameters. The research shows that for the positive memory-based diffusion coefficient, the system destabilizes through homogeneous/nonhomogeneous Hopf bifurcations, but for the negative memory diffusion coefficient, the system not only undergo Hopf bifurcations but also becomes unstable through Turing bifurcations, and may even exhibit Turing–Hopf bifurcation. Finally, we use a diffusive logistic model with predation behavior as an example to numerically simulate the theoretical results and also discover stability switch phenomena.

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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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