Critical dynamics and global persistence in a probabilistic three-states cellular automaton

dc.creatorda Silva, Roberto
dc.creatorAlves Jr, Nelson
dc.date2004-09-01
dc.date.accessioned2026-07-07T03:00:12Z
dc.date.available2026-07-07T03:00:12Z
dc.descriptionIn this work a three-states cellular automaton proposed to describe part of a biological immune system is revisited. We obtain the dynamic critical exponent $z$ of the model by means of a recent technique that mixes different initial conditions. Moreover, by using two distinct approaches, we have also calculated the global persistence exponent $θ_{g}$, related to the probability that the order parameter of the model does not change its sign up to time $t$ [$P(t)\propto t^{-θ_{g}}$].
dc.description15 pages, 5 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0409025
dc.identifierhttp://arxiv.org/abs/cond-mat/0409025
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/24766
dc.subjectStatistical Mechanics
dc.titleCritical dynamics and global persistence in a probabilistic three-states cellular automaton
dc.typetext

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