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Cellular Automata: Analysis and Applications (Paperback, Softcover reprint of the original 1st ed. 2017)
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Cellular Automata: Analysis and Applications (Paperback, Softcover reprint of the original 1st ed. 2017)
Series: Springer Monographs in Mathematics
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This book provides an overview of the main approaches used to
analyze the dynamics of cellular automata. Cellular automata are an
indispensable tool in mathematical modeling. In contrast to
classical modeling approaches like partial differential equations,
cellular automata are relatively easy to simulate but difficult to
analyze. In this book we present a review of approaches and
theories that allow the reader to understand the behavior of
cellular automata beyond simulations. The first part consists of an
introduction to cellular automata on Cayley graphs, and their
characterization via the fundamental Cutis-Hedlund-Lyndon theorems
in the context of various topological concepts (Cantor, Besicovitch
and Weyl topology). The second part focuses on classification
results: What classification follows from topological concepts
(Hurley classification), Lyapunov stability (Gilman
classification), and the theory of formal languages and grammars
(Kurka classification)? These classifications suggest that cellular
automata be clustered, similar to the classification of partial
differential equations into hyperbolic, parabolic and elliptic
equations. This part of the book culminates in the question of
whether the properties of cellular automata are decidable.
Surjectivity and injectivity are examined, and the seminal Garden
of Eden theorems are discussed. In turn, the third part focuses on
the analysis of cellular automata that inherit distinct properties,
often based on mathematical modeling of biological, physical or
chemical systems. Linearity is a concept that allows us to define
self-similar limit sets. Models for particle motion show how to
bridge the gap between cellular automata and partial differential
equations (HPP model and ultradiscrete limit). Pattern formation is
related to linear cellular automata, to the Bar-Yam model for the
Turing pattern, and Greenberg-Hastings automata for excitable
media. In addition, models for sand piles, the dynamics of
infectious d
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