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Normally Hyperbolic Invariant Manifolds in Dynamical Systems

✍ Scribed by Stephen Wiggins (auth.)


Publisher
Springer-Verlag New York
Year
1994
Tongue
English
Leaves
198
Series
Applied Mathematical Sciences 105
Edition
1
Category
Library

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✦ Synopsis


In the past ten years, there has been much progress in understanding the global dynamics of systems with several degrees-of-freedom. An important tool in these studies has been the theory of normally hyperbolic invariant manifolds and foliations of normally hyperbolic invariant manifolds. In recent years these techniques have been used for the development of global perturbation methods, the study of resonance phenomena in coupled oscillators, geometric singular perturbation theory, and the study of bursting phenomena in biological oscillators. "Invariant manifold theorems" have become standard tools for applied mathematicians, physicists, engineers, and virtually anyone working on nonlinear problems from a geometric viewpoint. In this book, the author gives a self-contained development of these ideas as well as proofs of the main theorems along the lines of the seminal works of Fenichel. In general, the Fenichel theory is very valuable for many applications, but it is not easy for people to get into from existing literature. This book provides an excellent avenue to that. Wiggins also describes a variety of settings where these techniques can be used in applications.

✦ Table of Contents


Front Matter....Pages i-ix
Introduction, Motivation, and Background....Pages 1-19
Background from the Theory of Differentiable Manifolds....Pages 21-49
Persistence of Overflowing Invariant Manifoldsβ€” Fenichel’s Theorem....Pages 51-109
The Unstable Manifold of an Overflowing Invariant Manifold....Pages 111-130
Foliations of Unstable Manifolds....Pages 131-157
Miscellaneous Properties and Results....Pages 159-163
Examples....Pages 165-183
Back Matter....Pages 185-194

✦ Subjects


Manifolds and Cell Complexes (incl. Diff.Topology); Mechanics; Statistical Physics, Dynamical Systems and Complexity


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