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Dynamics and topological entropy of 1D Greenberg–Hastings cellular automata

Part of: Topological dynamics Waves

Published online by Cambridge University Press:  09 March 2020

M. KESSEBÖHMER Open the ORCID record for M. KESSEBÖHMER [Opens in a new window] ,
J. D. M. RADEMACHER Open the ORCID record for J. D. M. RADEMACHER [Opens in a new window]  and
D. ULBRICH Open the ORCID record for D. ULBRICH [Opens in a new window]
M. KESSEBÖHMER
Affiliation:
Department 3: Mathematics, University of Bremen, Bibliothekstr. 5, 28359Bremen, Germany email [email protected]
J. D. M. RADEMACHER
Affiliation:
Department 3: Mathematics, University of Bremen, Bibliothekstr. 5, 28359Bremen, Germany email [email protected]
D. ULBRICH
Affiliation:
Department 3: Mathematics, University of Bremen, Bibliothekstr. 5, 28359Bremen, Germany email [email protected]
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Abstract

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In this paper we analyse the non-wandering set of one-dimensional Greenberg–Hastings cellular automaton models for excitable media with $e\geqslant 1$ excited and $r\geqslant 1$ refractory states and determine its (strictly positive) topological entropy. We show that it results from a Devaney chaotic closed invariant subset of the non-wandering set that consists of colliding and annihilating travelling waves, which is conjugate to a skew-product dynamical system of coupled shift dynamics. Moreover, we determine the remaining part of the non-wandering set explicitly as a Markov system with strictly less topological entropy that also scales differently for large $e,r$.

Keywords

cellular automataclassical ergodic theorysymbolic dynamicstopological dynamicslow-dimensional dynamics

MSC classification

Primary: 37B15: Cellular automata 37B20: Notions of recurrence 37B40: Topological entropy
Secondary: 74J35: Solitary waves
Type
Original Article
Information
Ergodic Theory and Dynamical Systems , Volume 41 , Issue 5 , May 2021 , pp. 1397 - 1430
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Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2020. Published by Cambridge University Press

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