A note on the topological synchronization of unimodal maps

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Bibliographic Details
Title: A note on the topological synchronization of unimodal maps
Authors: Michele Gianfelice
Source: Nonlinearity. 38:015007
Publication Status: Preprint
Publisher Information: IOP Publishing, 2024.
Publication Year: 2024
Subject Terms: coupled dynamical systems, unimodal maps, master-slave system, Markov chains, random dynamical systems, topological synchronisation, 37A10, 60J10, Probability (math.PR), FOS: Mathematics, Dynamical Systems (math.DS), Mathematics - Dynamical Systems, 0101 mathematics, 01 natural sciences, Mathematics - Probability
Description: In this note we complete the analysis carried on in Caby et al (2023 Nonlinearity 36 3603–21) about the topological synchronisation of unimodal maps of the interval coupled in a master–slave configuration, by answering to the questions raised in that Paper. Namely, we compute the weak limits of the invariant measure of the coupled system as the coupling strength k ∈ ( 0 , 1 ) tends to 0 and to 1 and discuss the uniqueness of the invariant measure of its random dynamical system counterpart, proving that the convergence of the associated Markov chain to its unique stationary measure is geometric.
Document Type: Article
ISSN: 1361-6544
0951-7715
DOI: 10.1088/1361-6544/ad95d5
DOI: 10.48550/arxiv.2405.07661
Access URL: http://arxiv.org/abs/2405.07661
Rights: CC BY
arXiv Non-Exclusive Distribution
Accession Number: edsair.doi.dedup.....dea384b42ffc061d127de629fa2f13f1
Database: OpenAIRE
Description
Abstract:In this note we complete the analysis carried on in Caby et al (2023 Nonlinearity 36 3603–21) about the topological synchronisation of unimodal maps of the interval coupled in a master–slave configuration, by answering to the questions raised in that Paper. Namely, we compute the weak limits of the invariant measure of the coupled system as the coupling strength k ∈ ( 0 , 1 ) tends to 0 and to 1 and discuss the uniqueness of the invariant measure of its random dynamical system counterpart, proving that the convergence of the associated Markov chain to its unique stationary measure is geometric.
ISSN:13616544
09517715
DOI:10.1088/1361-6544/ad95d5