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Author Amigó, José María (Amigó García)

Title Permutation complexity in dynamical systems : ordinal patterns, permutation entropy and all that / by José Mariá Amigó
Published Heidelberg ; London : Springer, 2010
Online access available from:
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Description 1 online resource (xv, 249 pages) : illustrations (some color)
Series Springer series in synergetics, 0172-7389
Springer complexity
Springer series in synergetics (Unnumbered)
Springer complexity.
Contents To 1 What Is This All About?; to 2 First Applications; to 3 Ordinal Patterns; to 4 Ordinal Structure of the Shifts; to 5 Ordinal Structure of the Signed Shifts; to 6 Metric Permutation Entropy; to 7 Topological Permutation Entropy; to 8 Discrete Entropy; to 9 Detection of Determinism; to 10 Space -- Time Dynamics; to 11 Conclusion and Outlook; to A Mathematical Framework; to B Entropy; References; Index
Summary The study of permutation complexity can be envisioned as a new kind of symbolic dynamics whose basic blocks are ordinal patterns, that is, permutations defined by the order relations among points in the orbits of dynamical systems. Since its inception in 2002 the concept of permutation entropy has sparked a new branch of research in particular regarding the time series analysis of dynamical systems that capitalizes on the order structure of the state space. Indeed, on one hand ordinal patterns and periodic points are closely related, yet ordinal patterns are amenable to numerical methods, while periodicity is not. Another interesting feature is that since it can be shown that random (unconstrained) dynamics has no forbidden patterns with probability one, their existence can be used as a fingerprint to identify any deterministic origin of orbit generation. This book is primarily addressed to researchers working in the field of nonlinear dynamics and complex systems, yet will also be suitable for graduate students interested in these subjects. The presentation is a compromise between mathematical rigor and pedagogical approach. Accordingly, some of the more mathematical background needed for more in depth understanding has been shifted into the appendices
Bibliography Includes bibliographical references (pages 235-243) and index
Notes Print version record
Subject Nonlinear theories.
Time-series analysis.
Form Electronic book
ISBN 9783642040849