Bak--Sneppen type models and rank-driven processes

Autor: Grinfeld, Michael, Knight, Philip A., Wade, Andrew R.
Rok vydání: 2010
Předmět:
Zdroj: Physical Review E, Vol. 84 (2011), no. 4, article 041124 (5pp)
Druh dokumentu: Working Paper
DOI: 10.1103/PhysRevE.84.041124
Popis: The Bak--Sneppen model is a simple stochastic model of evolution that exhibits self-organized criticality and for which few analytical results have been established. In the original Bak-Sneppen model and many subsequent variants, interactions among the evolving species are tied to a specified topology. We report a surprising connection between Bak-Sneppen type models and more tractable Markov processes that evolve without any reference to an underlying topology. Specifically, we show that in the case of a large number of species, the long time behaviour of the fitness profile in the anisotropic Bak--Sneppen model can be replicated by a model with a purely rank-based update rule whose asymptotics can be studied rigorously.
Comment: 4 pages, 2 figures; v2: revised presentation
Databáze: arXiv