A stochastic model of evolution
Herve Guiol (1), Fabio P. Machado (2), Rinaldo B. Schinazi (3) ((1), TIMC Univ. Grenoble, France, (2) IME-USP, Brasil, (3) Math.Dept. UCCS, USA)

TL;DR
This paper introduces a stochastic evolution model where species with varying fitness undergo births and deaths, revealing a phase transition and a critical fitness threshold that determines species survival or extinction.
Contribution
It presents a novel stochastic model of evolution with a phase transition and analyzes the distribution of species fitness over time.
Findings
Existence of a sharp phase transition at a critical birth-death probability ratio.
Species with fitness above a critical value tend to uniformly distribute.
Species below the critical fitness level eventually go extinct.
Abstract
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.
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Evolution and Genetic Dynamics · Complex Systems and Time Series Analysis
