Metric Entropy of Nonautonomous Dynamical Systems

We introduce the notion of metric entropy for a nonautonomous dynamical system given by a sequence (Xn; μn) of probability spaces and a sequence of measurable maps fn : Xn → Xn+1 with fnμn = μn+1. This notion generalizes the classical concept of metric entropy established by Kolmogorov and Sinai, an...

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Main Author: Kawan Christoph
Format: Article
Language:English
Published: De Gruyter 2014-01-01
Series:Nonautonomous Dynamical Systems
Subjects:
Online Access:http://www.degruyter.com/view/j/msds.2014.1.issue-1/msds-2013-0003/msds-2013-0003.xml?format=INT
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author Kawan Christoph
author_facet Kawan Christoph
author_sort Kawan Christoph
collection DOAJ
description We introduce the notion of metric entropy for a nonautonomous dynamical system given by a sequence (Xn; μn) of probability spaces and a sequence of measurable maps fn : Xn → Xn+1 with fnμn = μn+1. This notion generalizes the classical concept of metric entropy established by Kolmogorov and Sinai, and is related via a variational inequality to the topological entropy of nonautonomous systems as defined by Kolyada, Misiurewicz, and Snoha. Moreover, it shares several properties with the classical notion of metric entropy. In particular, invariance with respect to appropriately defined isomorphisms, a power rule, and a Rokhlin-type inequality are proved
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spelling doaj.art-41aa46f1127448f0b8de4e31294b81fb2022-12-22T00:10:10ZengDe GruyterNonautonomous Dynamical Systems2353-06262014-01-011110.2478/msds-2013-0003msds-2013-0003Metric Entropy of Nonautonomous Dynamical SystemsKawan Christoph0Institut für Mathematik, Universität Augsburg, 86159 Augsburg, GermanyWe introduce the notion of metric entropy for a nonautonomous dynamical system given by a sequence (Xn; μn) of probability spaces and a sequence of measurable maps fn : Xn → Xn+1 with fnμn = μn+1. This notion generalizes the classical concept of metric entropy established by Kolmogorov and Sinai, and is related via a variational inequality to the topological entropy of nonautonomous systems as defined by Kolyada, Misiurewicz, and Snoha. Moreover, it shares several properties with the classical notion of metric entropy. In particular, invariance with respect to appropriately defined isomorphisms, a power rule, and a Rokhlin-type inequality are provedhttp://www.degruyter.com/view/j/msds.2014.1.issue-1/msds-2013-0003/msds-2013-0003.xml?format=INTNonautonomous dynamical systemstopological entropymetric entropyvariational principle
spellingShingle Kawan Christoph
Metric Entropy of Nonautonomous Dynamical Systems
Nonautonomous Dynamical Systems
Nonautonomous dynamical systems
topological entropy
metric entropy
variational principle
title Metric Entropy of Nonautonomous Dynamical Systems
title_full Metric Entropy of Nonautonomous Dynamical Systems
title_fullStr Metric Entropy of Nonautonomous Dynamical Systems
title_full_unstemmed Metric Entropy of Nonautonomous Dynamical Systems
title_short Metric Entropy of Nonautonomous Dynamical Systems
title_sort metric entropy of nonautonomous dynamical systems
topic Nonautonomous dynamical systems
topological entropy
metric entropy
variational principle
url http://www.degruyter.com/view/j/msds.2014.1.issue-1/msds-2013-0003/msds-2013-0003.xml?format=INT
work_keys_str_mv AT kawanchristoph metricentropyofnonautonomousdynamicalsystems