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dc.creatorMAASS,ALEJANDRO
dc.creatorMARTÍNEZ,SERVET
dc.date2003-01-01
dc.date.accessioned2020-02-17T15:30:09Z
dc.date.available2020-02-17T15:30:09Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0716-97602003000100010
dc.identifier.urihttps://revistaschilenas.uchile.cl/handle/2250/128909
dc.descriptionIn this paper we review some recent results on the evolution of probability measures under cellular automata acting on a fullshift. In particular we discuss the crucial role of the attractiveness of maximal measures. We enlarge the context of the results of a previous study of topological Markov chains that are Abelian groups; the shift map is an automorphism of this group. This is carried out by studying the dynamics of Markov measures by a particular additive cellular automata. Many of these topics were within the focus of Francisco Varela's mathematical interests.
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dc.languageen
dc.publisherSociedad de Biología de Chile
dc.relation10.4067/S0716-97602003000100010
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceBiological Research v.36 n.1 2003
dc.titleEvolution of probability measures by cellular automata on algebraic topological Markov chains


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