- Membership
- MAA Press
- Meetings
- Competitions
- Community
- Programs
- Students
- High School Teachers
- Faculty and Departments
- Underrepresented Groups
- MAA Awards
- MAA Grants

- News
- About MAA

Publisher:

Chapman & Hall/CRC

Publication Date:

2007

Number of Pages:

657

Format:

Hardcover

Price:

89.95

ISBN:

1584884762

Category:

Textbook

[Reviewed by , on ]

Srabasti Dutta

04/26/2008

*A Course in Ordinary Differential Equations* deserves to be on the MAA’s Basic Library List. The book is divided into eight chapters and an appendix. The eight chapters are *Traditional First Order Differential Equations*, *Geometrical and Numerical Methods for First Order Equations, Elements of Higher Order Linear Equations, Techniques of Higher Order Linear Equations, Fundamentals of Systems of Differential Equations, Techniques of Systems of Differential Equations, Laplace Transforms* and *Series Methods.* The Appendix is divided into four parts. The first part is an introduction to Matlab, Maple and Mathematica. The second and third parts, respectively, review graphing factored polynomials and some selected topics from Linear Algebra. The last part includes answers to selected exercises.

The first chapter starts with the usual basic terminology of Differential Equations. For each definition, the authors provide examples and explanations to make all the concepts clear. This process is continued throughout the book. Thus each chapter has sufficient examples and easy-to-follow explanations. The authors did not go into detailed mathematical theories or proving long theorems. Nor did they provide large number of examples, which could often overwhelm the students. Instead, the authors always kept their audience — undergraduate students who are not yet matured in Mathematics — in mind, and kept everything in context.

In that sense, the book with its layout, is very student-friendly — it is easy to read and understand; every chapter and explanations flow smoothly and coherently. Students would not be scared away by the book and each student would find something interesting in the book.

Mathematically inclined students would enjoy solving the varied types of problem exercises that are included at the end of each section. A great quality of this book is that it introduces students to solving problems in *Mathematica, Maple* and *Matlab.* From the very beginning of the book, the authors provide examples and computer codes written for all the three above mentioned scientific software packages. At the end of each chapter, projects and additional problems related to the chapter are also provided. Whenever possible, authors have also included application examples. So, non-mathematically inclined students from other sciences and engineering fields would also enjoy the book.

The book has some minor typos in the chapters and exercise problems. It is just a personal opinion of the reviewer that the introduction to the autonomous second order equations in chapter two should have been done after introducing higher orders in chapter three. Also instead of devoting a whole section to *Essential Topics From Linear Algebra* in chapter three, this material could well have been included in the Appendices.

The book primarily focuses on linear differential equations, though some nonlinear differential equations are included. Overall, the reviewer would recommend this book highly for undergraduate introductory differential equation courses.

Srabasti Dutta received her PhD from SUNY-Stony Brook and is currently an Assistant Professor in College of Saint Elizabeth. She can be reached at srabastidutta@gmail.com.

TRADITIONAL FIRST ORDER DIFFERENTIAL EQUATIONS

Some Basic Terminology

Separable Differential Equations

Some Physical Problems arising as Separable Equations

Exact Equations

Linear Equations

GEOMETRICAL & NUMERICAL METHODS FOR FIRST ORDER EQUATIONS

Direction Fields - the Geometry of Differential Equations

Existence and Uniqueness for First Order Equations

First Order Autonomous Equations - Geometrical Insight

Population Modeling: An Application of Autonomous Equations

Numerical Approximation with the Euler Method

Numerical Approximation with the Runge-Kutta Method

An Introduction to Autonomous Second Order Equations

ELEMENTS OF HIGHER ORDER LINEAR EQUATIONS

Some Terminology

Essential Topics from Linear Algebra

Reduction of Order - The Case n=2

Operator Notation

Numerical Considerations for nth Order Equations

TECHNIQUES OF HIGHER ORDER LINEAR EQUATIONS

Homogeneous Equations with Constant Coefficients

A Mass on a Spring

Cauchy-Euler (Equidimensional) Equation

Nonhomogeneous Equations

The Method of Undetermined Coefficients via Tables

The Method of Undetermined Coefficients via the Annihilator Method

Variation of Parameters

FUNDAMENTALS OF SYSTEMS OF DIFFERENTIAL EQUATIONS

Systems of Two Equations - Motivational Examples

Useful Terminology

Linear Transformations and the Fundamental Subspaces

Eigenvalues and Eigenvectors

Matrix Exponentials

TECHNIQUES OF SYSTEMS OF DIFFERENTIAL EQUATIONS

A General Method, Part I: Solving Systems with Real, Distinct Eigenvalues

A General Method, Part II: Solving Systems with Repeated Real or Complex Eigenvalues

Solving Linear Homogeneous and Nonhomogeneous Systems of Equations

Nonlinear Equations and Phase Plane Analysis

Epidemiological Models

LAPLACE TRANSFORMS

Fundamentals of the Laplace Transform

Properties of the Laplace Transforms

Step Functions, Translated Functions, and Periodic Functions

The Inverse Laplace Transform

Laplace Transform Solution of Linear Differential Equations

Solving Linear Systems using Laplace Transforms

The Convolution

SERIES METHODS

Power Series Representations of Functions

The Power Series Method

Ordinary and Singular Points

The Method of Frobenius

Bessel Functions

Appendix A: An Introduction to MATLAB, Maple, and Mathematica

Appendix B: Graphing Factored Polynomials

Appendix C: Selected Topics from Linear Algebra

Appendix D: Answers to Selected Exercises

- Log in to post comments