特质
人口
统计物理学
邻里(数学)
人口模型
选择(遗传算法)
理论(学习稳定性)
破坏性选择
混合(物理)
数学
热扩散率
生物扩散
应用数学
数学优化
统计
计算机科学
物理
热力学
自然选择
数学分析
人口学
量子力学
机器学习
社会学
人工智能
程序设计语言
出处
期刊:Discrete and Continuous Dynamical Systems-series B
[American Institute of Mathematical Sciences]
日期:2017-01-01
卷期号:22 (11): 1-32
被引量:7
标识
DOI:10.3934/dcdsb.2019163
摘要
We consider a system of $ N $ competing species, each of which can access a different resources distribution and who can disperse at different speeds. We fully characterize the existence and stability of steady-states for large diffusivities. Indeed, we prove that the resources distribution yielding the largest total population size at equilibrium is, broadly speaking, always the winner when species disperse quickly. The criterion also uses the different dispersal rates. The methods used rely on an expansion of the solutions of the Lotka-Volterra sytem for large diffusivities, and is an extension of the 'slowest diffuser always wins' principle.Using this method, we also study the case of an equation modelling a trait structured population, with small mutations. We assume that each trait is characterized by its diffusivity and the resources it can access. We similarly derive a criterion mixing these diffusivities and the total population size functional for the single species model to show that for rare mutations and large diffusivities, the population concentrates in a neighbourhood of a trait maximizing this criterion.
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