Overview

One of the basic tenets of science is that deterministic systems are completely predictable-given the initial condition and the equations describing a system, the behavior of the system can be predicted 1 for all time. The discovery of chaotic systems has eliminated this viewpoint. Simply put, a chaotic system is a deterministic system that exhibits random behavior. Though identified as a robust phenomenon only twenty years ago, chaos has almost certainly been encountered by scientists and engi­ neers many times during the last century only to be dismissed as physical noise. Chaos is such a wide-spread phenomenon that it has now been reported in virtually every scientific discipline: astronomy, biology, biophysics, chemistry, engineering, geology, mathematics, medicine, meteorology, plasmas, physics, and even the social sci­ ences. It is no coincidence that during the same two decades in which chaos has grown into an independent field of research, computers have permeated society. It is, in fact, the wide availability of inex­ pensive computing power that has spurred much of the research in chaotic dynamics. The reason is simple: the computer can calculate a solution of a nonlinear system. This is no small feat. Unlike lin­ ear systems, where closed-form solutions can be written in terms of the system's eigenvalues and eigenvectors, few nonlinear systems and virtually no chaotic systems possess closed-form solutions.

Full Product Details

Author:   Thomas S. Parker ,  Leon O. Chua
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1989
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   0.557kg
ISBN:  

9781461281214

ISBN 10:   1461281210
Pages:   348
Publication Date:   21 December 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1 Steady-State Solutions.- 1.1 Systems.- 1.2 Limit sets.- 1.3 Summary.- 2 Poincaré Maps.- 2.1 Definitions.- 2.2 Limit Sets.- 2.3 Higher-order Poincaré maps.- 2.4 Algorithms.- 2.5 Summary.- 3 Stability.- 3.1 Eigenvalues.- 3.2 Characteristic multipliers.- 3.3 Lyapunov exponents.- 3.4 Algorithms.- 3.5 Summary.- 4 Integration.- 4.1 Types.- 4.2 Integration error.- 4.3 Stiff equations.- 4.4 Practical considerations.- 4.5 Summary.- 5 Locating Limit Sets.- 5.1 Introduction.- 5.2 Equilibrium points.- 5.3 Fixed points.- 5.4 Closed orbits.- 5.5 Periodic solutions.- 5.6 Two-periodic solutions.- 5.7 Chaotic solutions.- 5.8 Summary.- 6 Manifolds.- 6.1 Definitions and theory.- 6.2 Algorithms.- 6.3 Summary.- 7 Dimension.- 7.1 Dimension.- 7.2 Reconstruction.- 7.3 Summary.- 8 Bifurcation Diagrams.- 8.1 Definitions.- 8.2 Algorithms.- 8.3 Summary.- 9 Programming.- 9.1 The user interface.- 9.2 Languages.- 9.3 Library definitions.- 10 Phase Portraits.- 10.1 Trajectories.- 10.2 Limit sets.- 10.3 Basins.- 10.4 Programming tips.- 10.5 Summary.- A The Newton-Raphson Algorithm.- B The Variational Equation.- C Differential Topology.- C.1 Differential topology.- C.2 Structural stability.- D The Poincaré Map.- E One Lyapunov Exponent Vanishes.- F Cantor Sets.- G List of Symbols.

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