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Book DetailsPure and Applied Undergraduate TextsVolume: 19; 2012; 733 ppMSC: Primary 34; 37; 70;
This book gives a mathematical treatment of the introduction to qualitative differential equations and discrete dynamical systems. The treatment includes theoretical proofs, methods of calculation, and applications. The two parts of the book, continuous time of differential equations and discrete time of dynamical systems, can be covered independently in one semester each or combined together into a year long course.
The material on differential equations introduces the qualitative or geometric approach through a treatment of linear systems in any dimension. There follows chapters where equilibria are the most important feature, where scalar (energy) functions is the principal tool, where periodic orbits appear, and finally, chaotic systems of differential equations. The many different approaches are systematically introduced through examples and theorems.
The material on discrete dynamical systems starts with maps of one variable and proceeds to systems in higher dimensions. The treatment starts with examples where the periodic points can be found explicitly and then introduces symbolic dynamics to analyze where they can be shown to exist but not given in explicit form. Chaotic systems are presented both mathematically and more computationally using Lyapunov exponents. With the onedimensional maps as models, the multidimensional maps cover the same material in higher dimensions. This higher dimensional material is less computational and more conceptual and theoretical. The final chapter on fractals introduces various dimensions which is another computational tool for measuring the complexity of a system. It also treats iterated function systems which give examples of complicated sets.
In the second edition of the book, much of the material has been rewritten to clarify the presentation. Also, some new material has been included in both parts of the book.
This book can be used as a textbook for an advanced undergraduate course on ordinary differential equations and/or dynamical systems. Prerequisites are standard courses in calculus (single variable and multivariable), linear algebra, and introductory differential equations.ReadershipUndergraduate and graduate students interested in dynamical systems.

Table of Contents

Cover

Title page

Contents

Prefaces

Historical prologue

Part I. Systems of nonlinear differential equations

Geometric approach to differential equations

Linear systems

The flow: Solutions of nonlinear equations

Phase portraits with emphasis on fixed points

Phase portraits using Scalar functions

Periodic orbits

Chaotic attractors

Part II. Iteration of functions

Iteration of functions as dynamics

Periodic points of onedimensional maps

Itineraries for onedimensional maps

Invariant sets for onedimensional maps

Periodic points of higher dimensional maps

Invariant sets for higher dimensional maps

Fractals

Background and terminology

Generic properties

Bibliography

Index

Back Cover


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This book gives a mathematical treatment of the introduction to qualitative differential equations and discrete dynamical systems. The treatment includes theoretical proofs, methods of calculation, and applications. The two parts of the book, continuous time of differential equations and discrete time of dynamical systems, can be covered independently in one semester each or combined together into a year long course.
The material on differential equations introduces the qualitative or geometric approach through a treatment of linear systems in any dimension. There follows chapters where equilibria are the most important feature, where scalar (energy) functions is the principal tool, where periodic orbits appear, and finally, chaotic systems of differential equations. The many different approaches are systematically introduced through examples and theorems.
The material on discrete dynamical systems starts with maps of one variable and proceeds to systems in higher dimensions. The treatment starts with examples where the periodic points can be found explicitly and then introduces symbolic dynamics to analyze where they can be shown to exist but not given in explicit form. Chaotic systems are presented both mathematically and more computationally using Lyapunov exponents. With the onedimensional maps as models, the multidimensional maps cover the same material in higher dimensions. This higher dimensional material is less computational and more conceptual and theoretical. The final chapter on fractals introduces various dimensions which is another computational tool for measuring the complexity of a system. It also treats iterated function systems which give examples of complicated sets.
In the second edition of the book, much of the material has been rewritten to clarify the presentation. Also, some new material has been included in both parts of the book.
This book can be used as a textbook for an advanced undergraduate course on ordinary differential equations and/or dynamical systems. Prerequisites are standard courses in calculus (single variable and multivariable), linear algebra, and introductory differential equations.
Undergraduate and graduate students interested in dynamical systems.

Cover

Title page

Contents

Prefaces

Historical prologue

Part I. Systems of nonlinear differential equations

Geometric approach to differential equations

Linear systems

The flow: Solutions of nonlinear equations

Phase portraits with emphasis on fixed points

Phase portraits using Scalar functions

Periodic orbits

Chaotic attractors

Part II. Iteration of functions

Iteration of functions as dynamics

Periodic points of onedimensional maps

Itineraries for onedimensional maps

Invariant sets for onedimensional maps

Periodic points of higher dimensional maps

Invariant sets for higher dimensional maps

Fractals

Background and terminology

Generic properties

Bibliography

Index

Back Cover