2017
DOI: 10.1080/17442508.2017.1282957
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Bak-Sneppen backwards

Abstract: We study the backwards Markov chain for the Bak-Sneppen model of biological evolution and derive its corresponding reversibility equations. We show that, in contrast to the forwards Markov chain, the dynamics of the backwards chain explicitly involve the stationary distribution of the model, and from this we derive a functional equation that the stationary distribution must satisfy. We use this functional equation to derive differential equations for the stationary distribution of Bak-Sneppen models in which a… Show more

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Cited by 1 publication
(4 citation statements)
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“…Indeed, since all sampled fitnesses are in [δ, 1 δ ], and all initial fitnesses for Ξ are > 1 δ , f − (Ξ t ) = 0, and similarly f + (Ξ t ) = 0. Therefore, on this event, f…”
Section: Coupling For the N-cyclementioning
confidence: 99%
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“…Indeed, since all sampled fitnesses are in [δ, 1 δ ], and all initial fitnesses for Ξ are > 1 δ , f − (Ξ t ) = 0, and similarly f + (Ξ t ) = 0. Therefore, on this event, f…”
Section: Coupling For the N-cyclementioning
confidence: 99%
“…, N − 1} and E = {{n, n + 1 mod N} : n ∈ V}. Also, in the original model, the fitnesses assigned were U[0, 1] rather than Exp (1), which, as is easy to see, has no effect on the dynamics. Furthermore, a deterministic transformation maps one model in a one-to-one fashion into the other (e.g.…”
Section: Introductionmentioning
confidence: 99%
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