Non-vanishing sharp-fronted travelling wave solutions of the Fisher-Kolmogorov model.

IF 0.8 4区 数学 Q4 BIOLOGY
Maud El-Hachem, Scott W McCue, Matthew J Simpson
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引用次数: 2

Abstract

The Fisher-Kolmogorov-Petrovsky-Piskunov (KPP) model, and generalizations thereof, involves simple reaction-diffusion equations for biological invasion that assume individuals in the population undergo linear diffusion with diffusivity $D$, and logistic proliferation with rate $\lambda $. For the Fisher-KPP model, biologically relevant initial conditions lead to long-time travelling wave solutions that move with speed $c=2\sqrt {\lambda D}$. Despite these attractive features, there are several biological limitations of travelling wave solutions of the Fisher-KPP model. First, these travelling wave solutions do not predict a well-defined invasion front. Second, biologically relevant initial conditions lead to travelling waves that move with speed $c=2\sqrt {\lambda D}> 0$. This means that, for biologically relevant initial data, the Fisher-KPP model cannot be used to study invasion with $c \ne 2\sqrt {\lambda D}$, or retreating travelling waves with $c < 0$. Here, we reformulate the Fisher-KPP model as a moving boundary problem and show that this reformulated model alleviates the key limitations of the Fisher-KPP model. Travelling wave solutions of the moving boundary problem predict a well-defined front that can propagate with any wave speed, $-\infty < c < \infty $. Here, we establish these results using a combination of high-accuracy numerical simulations of the time-dependent partial differential equation, phase plane analysis and perturbation methods. All software required to replicate this work is available on GitHub.

Fisher-Kolmogorov模型的非消失锐前行波解。
Fisher-Kolmogorov-Petrovsky-Piskunov (KPP)模型及其推广涉及生物入侵的简单反应扩散方程,该方程假设种群中的个体经历具有扩散率$D$的线性扩散和具有速率$\lambda $的logistic扩散。对于Fisher-KPP模型,生物学相关的初始条件导致以速度$c=2\sqrt {\lambda D}$移动的长行波解。尽管有这些吸引人的特点,但Fisher-KPP模型的行波解有几个生物学上的限制。首先,这些行波解不能预测一个明确的入侵前沿。第二,与生物学相关的初始条件导致以速度移动的行波$c=2\sqrt {\lambda D}> 0$。这意味着,对于生物学相关的初始数据,Fisher-KPP模型不能用于研究$c \ne 2\sqrt {\lambda D}$的入侵,或$c < 0$的撤退行波。在这里,我们将Fisher-KPP模型重新表述为一个移动边界问题,并表明这个重新表述的模型缓解了Fisher-KPP模型的关键局限性。移动边界问题的行波解预测了一个可以以任何波速传播的定义良好的锋面,$-\infty < c < \infty $。在这里,我们结合高精度的时变偏微分方程数值模拟、相平面分析和微扰方法建立了这些结果。复制这项工作所需的所有软件都可以在GitHub上获得。
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
CiteScore
2.20
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: Formerly the IMA Journal of Mathematics Applied in Medicine and Biology. Mathematical Medicine and Biology publishes original articles with a significant mathematical content addressing topics in medicine and biology. Papers exploiting modern developments in applied mathematics are particularly welcome. The biomedical relevance of mathematical models should be demonstrated clearly and validation by comparison against experiment is strongly encouraged. The journal welcomes contributions relevant to any area of the life sciences including: -biomechanics- biophysics- cell biology- developmental biology- ecology and the environment- epidemiology- immunology- infectious diseases- neuroscience- pharmacology- physiology- population biology
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