Evolution of probability measures by cellular automata on algebraic topological Markov chains
Biol. Res
; 36(1): 113-118, 2003.
Article
in English
| LILACS
| ID: lil-454054
Responsible library:
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.
Full text:
Available
Collection:
International databases
Health context:
Sustainable Health Agenda for the Americas
Health problem:
Goal 4: Health financing
Database:
LILACS
Main subject:
Markov Chains
/
Entropy
/
Biological Evolution
/
Models, Biological
Type of study:
Health economic evaluation
Limits:
Animals
Language:
English
Journal:
Biol. Res
Journal subject:
Biology
Year:
2003
Document type:
Article
/
Project document
Affiliation country:
Chile
Institution/Affiliation country:
Universidad de Chile/CL