The Annals of Probability · 2003 · 31 citations · 4 references
Graph TheoryPhysicsRandom GraphProbabilistic Graph TheoryLimit BehaviorSneppen Evolution ModelGraphical RepresentationFixed Observation VertexEvolution EquationEvolutionary DynamicScale-free Network
One of the key problems related to the Bak--Sneppen evolution model on the circle is computing the limit distribution of the fitness at a fixed observation vertex in the stationary regime as the size of the system tends to infinity. Some simulations have suggested that this limit distribution is uniform on $(f,1)$ for some $f\sim2/3$. In this article, we prove that the mean of the fitness in the stationary regime is bounded away from 1, uniformly in the size of the system, thereby establishing the nontriviality of the limit behavior. The Bak--Sneppen dynamics can easily be defined on any finite connected graph. We also present a generalization of the phase-transition result in the context of an increasing sequence of such graphs. This generalization covers the multidimentional Bak--Sneppen model as well as the Bak--Sneppen model on a tree. Our proofs are based on a "self-similar'' graphical representation of the avalanches.
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Simple Model of Self-Organized Biological Evolution
Jan de Boer, Bernard Derrida, Henrik Flyvbjerg et al. · Physical Review Letters · 1994 · 119 citations · Full text