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Topological Conjugacy Between Induced Non-autonomous Set-Valued Systems and Subshifts of Finite Type

  • Hua Shao
  • , Guanrong Chen
  • , Yuming Shi*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This paper establishes topological (equi-)semiconjugacy and (equi-) conjugacy between induced non-autonomous set-valued systems and subshifts of finite type. First, some necessary and sufficient conditions are given for a non-autonomous discrete system to be topologically semiconjugate or conjugate to a subshift of finite type. Further, several sufficient conditions for it to be topologically equi-semiconjugate or equi-conjugate to a subshift of finite type are obtained. Consequently, estimations of topological entropy and several criteria of Li–Yorke chaos and distributional chaos in a sequence are derived. Second, the relationships of several related dynamical behaviors between the non-autonomous discrete system and its induced set-valued system are investigated. Based on these results, the paper furthermore establishes the topological (equi-)semiconjugacy and (equi-)conjugacy between induced set-valued systems and subshifts of finite type. Consequently, estimations of the topological entropy for the induced set-valued system are obtained, and several criteria of Li–Yorke chaos and distributional chaos in a sequence are established. Some of these results not only extend the existing related results for autonomous discrete systems to non-autonomous discrete systems, but also relax the assumptions of the counterparts in the literature. Two examples are finally provided for illustration.
Original languageEnglish
Article number34
JournalQualitative Theory of Dynamical Systems
Volume19
Issue number1
Online published1 Feb 2020
DOIs
Publication statusPublished - Apr 2020

Research Keywords

  • Chaos
  • Induced set-valued system
  • Non-autonomous discrete system
  • Subshift of finite type
  • Topological conjugacy
  • Topological entropy

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