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Title
Chaos detection and predictability [electronic resource] / Charalampos (Haris) Skokos, Georg A. Gottwald, Jacques Laskar, editors.
ISBN
9783662484104 (electronic book)
3662484102 (electronic book)
9783662484081
Published
Heidelberg : Springer, 2016.
Language
English
Description
1 online resource (ix, 269 pages) : illustrations.
Other Standard Identifiers
10.1007/978-3-662-48410-4 doi
Call Number
QA372
Dewey Decimal Classification
515.35
Summary
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 techniques for 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.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 7, 2016).
Series
Lecture notes in physics ; v. 915.
Estimating Lyapunov exponents from time series
Theory and applications of the fast Lyapunov Indicator (FLI) method
Theory and applications of the Orthogonal Fast Lyapunov Indicator (OFLI and OFLI2) methods
Theory and applications of the Mean Exponential Growth factor of Nearby Orbits (MEGNO) method
The Smaller (SALI) and the Generalized (GALI) Alignment Indices: Efficient Methods of Chaos Detection
The Relative Lyapunov Indicators: Theory and Application to Dynamical Astronomy
The 0-1 Test for Chaos: A review.
