Dynamics of a Memory-Based Diffusion Model With Maturation Delay and Spatial Heterogeneity

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Xiaohong Bu, Guohong Zhang, Yongli Song, Xiaoli Wang
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引用次数: 0

Abstract

In this paper, we consider a single memory-based diffusion population model with maturation delay, spatial heterogeneity, and Neumann boundary condition. When the integral of the intrinsic growth rate over the domain is nonnegative, we obtain sufficient conditions for the local stability of the positive steady state and the critical values of maturation delay for the associated Hopf bifurcation. When the integral of the intrinsic growth rate over the domain is negative, considering that the characteristic equation involves a non-self-adjoint operator and two delays, we utilize a geometric method to determine all bifurcation points in terms of memory and maturation delays. The impact of spatial heterogeneity on the distribution of solutions is also examined via numerical simulations. It is found that the core area of high population density is coincident with the source area of growth rate. This suggests the importance of spatial heterogeneity in shaping the distribution and dynamics of the species.

具有成熟延迟和空间异质性的基于记忆的扩散模型的动力学原理
在本文中,我们考虑了一个具有成熟延迟、空间异质性和诺伊曼边界条件的基于单一记忆的扩散种群模型。当域内固有增长率的积分为非负时,我们得到了正稳态局部稳定的充分条件以及相关霍普夫分岔的成熟延迟临界值。当域上的内在增长率积分为负时,考虑到特征方程涉及一个非自相加算子和两个延迟,我们利用几何方法确定了记忆延迟和成熟延迟的所有分岔点。我们还通过数值模拟研究了空间异质性对解分布的影响。结果发现,高人口密度的核心区域与增长率的源区域重合。这表明空间异质性在形成物种分布和动态方面的重要性。
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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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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