| Concepts and Results in Chaotic Dynamics: A Short Course 2006 Edition Contributor(s): Collet, Pierre (Author), Eckmann, Jean-Pierre (Author) |
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ISBN: 3540347054 ISBN-13: 9783540347057 Publisher: Springer OUR PRICE: $52.24 Product Type: Hardcover - Other Formats Published: October 2006 Annotation: The study of dynamical systems is a well established field. Having given graduate-level courses on the subject for many years, the authors have now written this book to provide a panorama of the aspects that are of interest to mathematicians and physicists alike. Avoiding belaboured proofs, the exposition concentrates instead on abundant illustrations and examples, while still retaining sufficient mathematical precision. Besides the standard topics of the field, questions of physical measurement and stochastic properties of chaotic dynamical systems are given much attention.
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| Additional Information |
| BISAC Categories: - Mathematics | Differential Equations - General - Science | Physics - Mathematical & Computational - Mathematics | Mathematical Analysis |
| Dewey: 515.39 |
| LCCN: 2006931058 |
| Series: Theoretical and Mathematical Physics |
| Physical Information: 0.56" H x 6.32" W x 9.54" (1.03 lbs) 232 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book is devoted to the subject commonly called Chaotic Dynamics, namely the study of complicated behavior in time of maps and ?ows, called dynamical systems. The theory of chaotic dynamics has a deep impact on our understanding of - ture, and we sketch here our view on this question. The strength of this theory comes from its generality, in that it is not limited to a particular equation or scienti?c - main. It should be viewed as a conceptual framework with which one can capture properties of systems with complicated behavior. Obviously, such a general fra- work cannot describe a system down to its most intricate details, but it is a useful and important guideline on how a certain kind of complex systems may be understood and analyzed. The theory is based on a description of idealized systems, such as "hyperbolic" systems. The systems to which the theory applies should be similar to these idealized systems. They should correspond to a ?xed evolution equation, which, however, need to be neither modeled nor explicitly known in detail. Experimentally, this means that the conditions under which the experiment is performed should be as constant as possible. The same condition applies to analysis of data, which, say, come from the evolution of glaciations: One cannot apply "chaos theory" to systems under varying external conditions, but only to systems which have some self-generated chaos under ?xed external conditions. |