Analysis and Simulation of Chaotic Systems / Edition 2

by Frank C. Hoppensteadt

Overview

Beginning with realistic mathematical or verbal models of physical or biological phenomena, the author derives tractable mathematical models that are amenable to further mathematical analysis or to elucidating computer simulations. For the most part, derivations are based on perturbation methods. Because of this, the majority of the text is devoted to careful derivations of implicit function theorems, the method of averaging, and quasi-static state approximation methods. The duality between stability and perturbation is developed and used, relying heavily on the concept of stability under persistent disturbances. This explains why stability results developed for quite simple problems are often useful for more complicated, even chaotic, ones. Relevant topics about linear systems, nonlinear oscillations, and stability methods for difference, differential-delay, integro- differential and ordinary and partial differential equations are developed throughout the book. For the second edition, the author has restructured the chapters, placing special emphasis on introductory materials in Chapters 1 and 2 as distinct from presentation materials in Chapters 3 through 8. In addition, more material on bifurcations from the point of view of canonical models, sections on randomly perturbed systems, and several new computer simulations have been added.

Product Details

ISBN-13:	9781475773866
Publisher:	Springer New York
Publication date:	03/17/2013
Series:	Applied Mathematical Sciences , #94
Edition description:	2nd ed. 2000. Softcover reprint of the original 2nd ed. 2000
Pages:	318
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Linear Systems.- Dynamical Systems.- Stability Methods for Nonlinear Systems.- Bifurcation and Topological Methods.- Regular Perturbation Methods.- Iterations and Perturbations.- Methods of Averaging.- Quasistatic-State Approximations.

Editorial Reviews

For college students with a background in calculus, matrices, and differential equations, reviews the realistic mathematical or verbal models of nonlinear physical and biological phenomena, and derives tractable mathematical models that are amenable to further mathematical analysis or to elucidating computer simulations. Most of the derivations are based on perturbation methods. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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