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Lyapunov Exponents

Lyapunov Exponents

Lyapunov Exponents

A Tool to Explore Complex Dynamics
Arkady Pikovsky, Universität Potsdam, Germany
Antonio Politi, University of Aberdeen
March 2016
Available
Hardback
9781107030428
CAD$107.95
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eBook

    Lyapunov exponents lie at the heart of chaos theory, and are widely used in studies of complex dynamics. Utilising a pragmatic, physical approach, this self-contained book provides a comprehensive description of the concept. Beginning with the basic properties and numerical methods, it then guides readers through to the most recent advances in applications to complex systems. Practical algorithms are thoroughly reviewed and their performance is discussed, while a broad set of examples illustrate the wide range of potential applications. The description of various numerical and analytical techniques for the computation of Lyapunov exponents offers an extensive array of tools for the characterization of phenomena such as synchronization, weak and global chaos in low and high-dimensional set-ups, and localization. This text equips readers with all the investigative expertise needed to fully explore the dynamical properties of complex systems, making it ideal for both graduate students and experienced researchers.

    • An indispensable resource for new starters in the field and for experienced researchers
    • This is the first book to utilise a pragmatic, physical approach to the subject, rather than a purely mathematical perspective
    • Discusses the application of nonlinear dynamics and chaos theory across a diverse range of disciplines such as physics, applied mathematics, engineering and even biology

    Reviews & endorsements

    '… it should be required reading for anyone seriously engaged in the quantitative analysis of the dynamics of complex systems.' Robert C. Hilborn, Physics Today

    'This book is written for mainly a physics audience but mathematicians may find inspiration seeing how to deal with Lyapunov exponents in practice. The book gives a very comprehensive overview of the currently available tools to explore dynamical systems through the numerical study of Lyapunov exponents, Lyapunov spectra and the extraction of the corresponding Oseledets splitting. Indeed mathematical results assure the existence of exponents and the splitting for a given invariant probability measure but give few clues as to how one may compute, in particular, the splitting. This is dealt with in much detail in the book.' Hans Henrik Rugh, Mathematical Reviews

    See more reviews

    Product details

    February 2016
    Adobe eBook Reader
    9781316468708
    0 pages
    0kg
    80 b/w illus. 3 tables
    This ISBN is for an eBook version which is distributed on our behalf by a third party.

    Table of Contents

    • 1. Introduction
    • 2. The basics
    • 3. Numerical methods
    • 4. Lyapunov vectors
    • 5. Fluctuations and generalized exponents
    • 6. Dimensions and dynamical entropies
    • 7. Finite amplitude exponents
    • 8. Random systems
    • 9. Coupled systems
    • 10. High-dimensional systems: general
    • 11. High-dimensional systems: Lyapunov vectors and finite-size effects
    • 12. Applications
    • Appendices
    • Index.
      Authors
    • Arkady Pikovsky , Universität Potsdam, Germany

      Arkady Pikovsky is Professor of Theoretical Physics at the University of Potsdam. He is a member of the editorial board for Physica D and Chaotic and Complex Systems Editor for the Journal of Physics A: Mathematical and Theoretical. He is a Fellow of the American Physical Society and co-author of Synchronization: A Universal Concept in Nonlinear Sciences. His current research focuses on nonlinear physics of complex systems.

    • Antonio Politi , University of Aberdeen

      Antonio Politi is the 6th Century Chair in Physics of Life Sciences at the University of Aberdeen. He is Associate Editor of Physical Review E, a Fellow of the Institute of Physics and of the American Physical Society and was awarded the Gutzwiller Prize by the Max Planck Institute for Complex Systems in Dresden, and the Humboldt Prize. He is co-author of Complexity: Hierarchical Structures and Scaling in Physics.