Escape of entropy for countable Markov shifts

Autor: Godofredo Iommi, Mike Todd, Anibal Velozo
Přispěvatelé: University of St Andrews. School of Mathematics and Statistics, University of St Andrews. Pure Mathematics
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Popis: Funding: GI was partially supported by CONICYT PIA ACT172001 and by Proyecto Fondecyt 1190194. AV was supported by Proyecto Fondecyt Iniciación 11220409. In this paper we study ergodic theory of countable Markov shifts. These are dynamical systems defined over non-compact spaces. Our main result relates the escape of mass, the measure theoretic entropy, and the entropy at infinity of the system. This relation has several consequences. For example we obtain that the entropy map is upper semi-continuous and that the ergodic measures form an entropy dense subset. Our results also provide new proofs of results describing the existence and stability of the measure of maximal entropy. We relate the entropy at infinity with the Hausdorff dimension of the set of recurrent points that escape on average. Of independent interest, we prove a version of Katok’s entropy formula in this non-compact setting. Postprint
Databáze: OpenAIRE