Predictability of chaotic dynamics : a finite-time Lyapunov exponents approach / Juan C. Vallejo, Miguel A. F. Sanjuan.
Vallejo, Juan Camilo, author.; Sanjuán, Miguel A. F. (Miguel Angel Fernández), author.
2019
Q172.5.C45 V35 2019eb
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Predictability of chaotic dynamics : a finite-time Lyapunov exponents approach / Juan C. Vallejo, Miguel A. F. Sanjuan.
Author Vallejo, Juan Camilo, author.
Edition Second edition.
ISBN 9783030286309 (electronic book)
3030286304 (electronic book)
9783030286293
DOI https://doi.org/10.1007/978-3-030-28630-9
https://doi.org/10.1007/978-3-030-28
Published Cham : Springer, [2019]
Copyright ©2019
Language English
Description 1 online resource : illustrations.
Item Number 10.1007/978-3-030-28630-9 doi
10.1007/978-3-030-28
Call Number Q172.5.C45 V35 2019eb
Dewey Decimal Classification 003/.857
Summary This book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observations, modeling and computation are strongly interdependent. Unlike with physical systems under control in laboratories, in astronomy it is uncommon to have the possibility of altering the key parameters of the studied objects. Therefore, the numerical simulations offer an essential tool for analysing these systems, and their reliability is of ever-increasing interest and importance. In this interdisciplinary scenario, the underlying physics provide the simulated models, nonlinear dynamics provides their chaoticity and instability properties, and the computer sciences provide the actual numerical implementation. This book introduces and explores precisely this link between the models and their predictability characterization based on concepts derived from the field of nonlinear dynamics, with a focus on the strong sensitivity to initial conditions and the use of Lyapunov exponents to characterize this sensitivity. This method is illustrated using several well-known continuous dynamical systems, such as the Contopoulos, Hénon-Heiles and Rössler systems. This second edition revises and significantly enlarges the material of the first edition by providing new entry points for discussing new predictability issues on a variety of areas such as machine decision-making, partial differential equations or the analysis of attractors and basins. Finally, the parts of the book devoted to the application of these ideas to astronomy have been greatly enlarged, by first presenting some basics aspects of predictability in astronomy and then by expanding these ideas to a detailed analysis of a galactic potential.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed October 31, 2019).
Added Author Sanjuán, Miguel A. F. (Miguel Angel Fernández), author.
Series Springer complexity.
Springer series in synergetics (Unnumbered).
Available in Other Form Predictability of Chaotic Dynamics : A Finite-Time Lyapunov Exponents Approach
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Preface
Forecasting and chaos
Lyapunov exponents
Dynamical regimes and timescales
Predictability
Chaos, predictability and astronomy
A detailed example: galactic dynamics
Appendix.

Browse Subjects

Show more subjects...

Statistics

from
to
Export