J 2020

Constant slope, entropy, and horseshoes for a map on a tame graph

BARTOŠ, Adam, Jozef BOBOK, Pavel PYRIH, Samuel Joshua ROTH, Benjamin VEJNAR et. al.

Basic information

Original name

Constant slope, entropy, and horseshoes for a map on a tame graph

Authors

BARTOŠ, Adam (203 Czech Republic), Jozef BOBOK (203 Czech Republic), Pavel PYRIH (203 Czech Republic), Samuel Joshua ROTH (840 United States of America, belonging to the institution) and Benjamin VEJNAR (203 Czech Republic)

Edition

Ergodic Theory and Dynamical Systems, New York, Cambridge University Press, 2020, 0143-3857

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10101 Pure mathematics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Ergodic Theory and Dynamical Systems

RIV identification code

RIV/47813059:19610/20:A0000076

Organization unit

Mathematical Institute in Opava

DOI

http://dx.doi.org/10.1017/etds.2019.29

UT WoS

000573869900004

Keywords in English

Markov map; tame graph; constant slope; conjugacy; entropy

Tags

Tags

International impact, Reviewed
Změněno: 17/3/2021 12:38, Mgr. Aleš Ryšavý

Abstract

V originále

We study continuous countably (strictly) monotone maps defined on a tame graph, i.e. a special Peano continuum for which the set containing branch points and end points has countable closure. In our investigation we confine ourselves to the countable Markov case. We show a necessary and sufficient condition under which a locally eventually onto, countably Markov map f of a tame graph G is conjugate to a map g of constant slope. In particular, we show that in the case of a Markov map f that corresponds to a recurrent transition matrix, the condition is satisfied for a constant slope e(htop(f)), where e(htop(f))is the topological entropy of f. Moreover, we show that in our class the topological entropy e(htop(f)) is achievable through horseshoes of the map f.
Displayed: 26/12/2024 12:20