Rank Statistics in Biological Evolution
E. Ben-Naim, P. L. Krapivsky
Abstract
We present a statistical analysis of biological evolution processes. Specifically, we study the stochastic replication-mutation-death model where the population of a species may grow or shrink by birth or death, respectively, and additionally, mutations lead to the creation of new species. We rank the various species by the chronological order by which they originate. The average population Nk of the kth species decays algebraically with rank, Nk ~ Mmu k-mu, where M is the average total population. The characteristic exponent mu=(alpha-gamma)/(alpha+beta-gamma)$ depends on alpha, beta, and gamma, the replication, mutation, and death rates. Furthermore, the average population Pk of all descendants of the kth species has a universal algebraic behavior, Pk ~ M/k.
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