Analysis of quasi-dynamic ordinary differential equations and the quasi-dynamic replicator

被引:11
|
作者
Griffin, Christopher [1 ]
Jiang, Libo [2 ]
Wu, Rongling [3 ,4 ]
机构
[1] Penn State Univ, Appl Res Lab, University Pk, PA 16802 USA
[2] Beijing Forestry Univ, Coll Biol Sci & Technol, Beijing Adv Innovat Ctr Tree Breeding Mol Design, Ctr Computat Biol, Beijing 100083, Peoples R China
[3] Penn State Univ, Ctr Stat Genet, Dept Publ Hlth Sci, Hershey, PA 17033 USA
[4] Penn State Univ, Ctr Stat Genet, Dept Stat, Hershey, PA 17033 USA
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Population dynamics; Evolutionary game; Cyclic games; Niche index; EVOLUTIONARILY STABLE STRATEGIES;
D O I
10.1016/j.physa.2020.124422
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We study the mathematical properties of the quasi-dynamic ordinary differential equations defined empirically in Chen et al. (2019). In particular, we show how the allometric scaling mentioned in that work emerges naturally from the generalized Lotka-Volterra model under the quasi-dynamic ordinary differential equations paradigm. We then define and study the proportional quasi-dynamic ordinary differential equations and discuss the relationship of this equation system to both the classical and discrete time replicator dynamics. We prove asymptotic properties of these systems for large and small populations and show that there exist populations for which the proportion of the population varies cyclically as a function of total logarithmic population size. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:8
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