Spreading speed for some cooperative systems with nonlocal diffusion and free boundaries, part 2: Precise rates of acceleration

IF 2.4 2区 数学 Q1 MATHEMATICS
Yihong Du , Wenjie Ni , Rong Wang
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引用次数: 0

Abstract

We investigate a class of cooperative reaction-diffusion systems with free boundaries in one space dimension, where the diffusion terms are nonlocal, given by integral operators involving suitable kernel functions, and some of the equations in the system do not have a diffusion term. Such a system covers various models arising from population biology and epidemiology, including in particular a West Nile virus model [12] and an epidemic model [38], where a “spreading-vanishing” dichotomy is known to govern the long time dynamical behaviour, but the spreading rate was not well understood. We aim to develop a systematic approach to determine the spreading profile of the system. In an earlier work [13], we obtained threshold conditions on the kernel functions which decide exactly when the spreading has finite speed, or infinite speed (accelerated spreading), and for the case of finite speed, we determined its value via semi-wave solutions. In the current work, we focus on the case of accelerated spreading, and obtain the precise rates of acceleration for some typical classes of kernel functions. Our results apply directly to the above mentioned concrete models.
一类具有非局部扩散和自由边界的合作系统的扩散速度,第2部分:精确加速度
研究了一维空间中具有自由边界的一类合作反应扩散系统,其中扩散项是非局部的,由涉及适当核函数的积分算子给出,并且系统中的一些方程没有扩散项。这种系统涵盖了从种群生物学和流行病学中产生的各种模型,特别是包括西尼罗病毒模型[12]和流行病模型[38],其中已知的“传播-消失”二分法控制着长期动态行为,但传播速率尚未得到很好的理解。我们的目标是开发一种系统的方法来确定系统的传播轮廓。在较早的工作[13]中,我们获得了核函数的阈值条件,该阈值条件精确地决定了扩展是有限速度还是无限速度(加速扩展),对于有限速度的情况,我们通过半波解确定其值。在目前的工作中,我们重点研究了加速扩展的情况,并获得了一些典型核函数类的精确加速率。我们的结果直接适用于上述具体模型。
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来源期刊
CiteScore
4.40
自引率
8.30%
发文量
543
审稿时长
9 months
期刊介绍: The Journal of Differential Equations is concerned with the theory and the application of differential equations. The articles published are addressed not only to mathematicians but also to those engineers, physicists, and other scientists for whom differential equations are valuable research tools. Research Areas Include: • Mathematical control theory • Ordinary differential equations • Partial differential equations • Stochastic differential equations • Topological dynamics • Related topics
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