Evolution of probability measures by cellular automata on algebraic topological Markov chains
Biol. Res
; 36(1): 113-118, 2003.
Article
em En
| LILACS
| ID: lil-454054
Biblioteca responsável:
BR1.1
ABSTRACT
In 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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
LILACS
Contexto em Saúde:
1_ASSA2030
Problema de saúde:
1_financiamento_saude
Assunto principal:
Cadeias de Markov
/
Entropia
/
Evolução Biológica
/
Modelos Biológicos
Tipo de estudo:
Health_economic_evaluation
Limite:
Animals
Idioma:
En
Revista:
Biol Res
/
Biol. Res
/
Biol. Res. (Online)
/
Biological Research
Assunto da revista:
BIOLOGIA
Ano de publicação:
2003
Tipo de documento:
Article
/
Project document
País de afiliação:
Chile