Evolution of probability measures by cellular automata on algebraic topological Markov chains

dc.creatorMAASS,ALEJANDRO
dc.creatorMARTÍNEZ,SERVET
dc.date2003-01-01
dc.date.accessioned2017-03-07T15:15:00Z
dc.date.available2017-03-07T15:15:00Z
dc.identifierhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602003000100010
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/381097
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.
dc.formattext/html
dc.languageen
dc.publisherSociedad de Biología de Chile
dc.sourceBiological Research v.36 n.1 2003
dc.titleEvolution of probability measures by cellular automata on algebraic topological Markov chains
dc.typeArtículos de revistas


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