arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 0909.2108math.PRq-bio.PE
收藏

进化的随机模型

A stochastic model of evolution

Herve Guiol, Fabio P. Machado, Rinaldo B. Schinazi

摘要:

我们提出了一个随机演化模型。物种的出生和死亡以恒定的概率发生。每个新物种都与从[0,1]上的均匀分布中采样的适应度相关联。每次有死亡事件,那么被杀死的类型是具有最小适应度的类型。我们证明了当出生概率大于死亡概率时,系统会发生剧烈的相变。适应度大于某一临界值的种群集合趋于均匀分布。另一方面,所有物种的适应度小于临界消失后,有限(随机)的时间。

英文摘要:

We propose a stochastic model for evolution. Births and deaths of species occur with constant probabilities. Each new species is associated with a fitness sampled from the uniform distribution on [0,1]. Every time there is a death event then the type that is killed is the one with the smallest fitness. We show that there is a sharp phase transition when the birth probability is larger than the death probability. The set of species with fitness higher than a certain critical value approach an uniform distribution. On the other hand all the species with fitness less than the critical disappear after a finite (random) time.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑