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  • © 2016

Chaos Detection and Predictability

  • Edited and authored by pioneers in the field
  • Comprehensive and self-contained introduction and overview
  • Useful as text for advanced courses and for self-study

Part of the book series: Lecture Notes in Physics (LNP, volume 915)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xi
  2. Theory and Applications of the Fast Lyapunov Indicator (FLI) Method

    • Elena Lega, Massimiliano Guzzo, Claude Froeschlé
    Pages 35-54
  3. The Relative Lyapunov Indicators: Theory and Application to Dynamical Astronomy

    • Zsolt Sándor, Nicolás Maffione
    Pages 183-220
  4. The 0-1 Test for Chaos: A Review

    • Georg A. Gottwald, Ian Melbourne
    Pages 221-247
  5. Prediction of Complex Dynamics: Who Cares About Chaos?

    • Stefan Siegert, Holger Kantz
    Pages 249-269
  6. Erratum to: Chaos Detection and Predictability

    • Charalampos (Haris) Skokos, Georg A. Gottwald, Jacques Laskar
    Pages E1-E1

About this book

Distinguishing chaoticity from regularity in deterministic dynamical systems and specifying the subspace of the phase space in which instabilities are expected to occur is of utmost importance in as disparate areas as astronomy, particle physics and climate dynamics.

 

To address these issues there exists a plethora of methods for chaos detection and predictability. The most commonly employed technique for investigating chaotic dynamics, i.e. the computation of Lyapunov exponents, however, may suffer a number of problems and drawbacks, for example when applied to noisy experimental data.

 

In the last two decades, several novel methods have been developed for the fast and reliable determination of the regular or chaotic nature of orbits, aimed at overcoming the shortcomings of more traditional techniques. This set of lecture notes and tutorial reviews serves as an introduction to and overview of modern chaos detection and predictability techniquesfor graduate students and non-specialists.

 

The book covers theoretical and computational aspects of traditional methods to calculate Lyapunov exponents, as well as of modern techniques like the Fast (FLI), the Orthogonal (OFLI) and the Relative (RLI) Lyapunov Indicators, the Mean Exponential Growth factor of Nearby Orbits (MEGNO), the Smaller (SALI) and the Generalized (GALI) Alignment Index and the ‘0-1’ test for chaos.

Editors and Affiliations

  • University of Cape Town, Department of Mathematics and Applied Ma, Rondebosch, South Africa

    Charalampos (Haris) Skokos

  • School of Mathematics and Statistics, University of Sydney, Sydney, Australia

    Georg A. Gottwald

  • Observatoire de Paris, IMCCE, Paris, France

    Jacques Laskar

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access