Exact and limit distributions of the largest fitness on correlated fitness landscapes

Abstract

We study the distribution of the maximum of a set of random fitnesses with fixed number of mutations in a model of biological evolution. The fitness variables are not independent and the correlations can be varied via a parameter $\ell =1,...,L$. We present analytical calculations for the following three solvable cases: (i) one-step mutants with arbitrary $\ell$ (ii) weakly correlated fitnesses with $\ell =L/2$ (iii) strongly correlated fitnesses with $\ell =2$. In all these cases, we find that the limit distribution for the maximum fitness is not of the standard Gumbel form.