Calculus with Differential Equations, 9th edition

Published by Pearson (April 10, 2006) © 2007

  • Dale Varberg Hamline University , Macalester College
  • Edwin Purcell
  • Steve Rigdon Southern Illinois University, Edwardsville
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For freshman/sophomore-level courses treating calculus of both one and several variables with additional material on differential equations.

Clear and Concise!

Varberg focuses on the most critical concepts freeing you to teach the way you want!

This popular calculus text remains the shortest mainstream calculus book available — yet covers all the material needed by, and at an appropriate level for, students in engineering, science, and mathematics. It's conciseness and clarity helps students focus on, and understand, critical concepts in calculus without them getting bogged down and lost in excessive and unnecessary detail. It is accurate, without being excessively rigorous, up-to-date without being faddish. The authors make effective use of computing technology, graphics, and applications. Ideal for instructors who want a no-nonsense, concisely written treatment.

Shorter book = smaller price tag     

• Perfectly paced — The economical presentation enables instructors to move through the book at a reasonable pace, covering one section per lecture easily.

• Rigor is emphasized, while also developing conceptual understanding — Helps students to devise a mental picture before getting a formal definition.

• Student development of “number sense” is encouraged — Emphasizes estimation as a technique to learn number sense, which helps students to catch their numerical mistakes by recognizing answers that don’t make sense.

• Entire Chapter Devoted to Differential Equations —

• Moderate and reasonable integration of technology — Technology is carefully incorporated in exercises (and marked as such).  Each chapter has 2 technology projects divided into 3 parts: (1) Preparation (think about the question before diving into technology) (2) Using Technology (3) Reflection (think a little deeper). 

• Clear connections are drawn between algebra and geometry in the text and in figures — For example,geometric reasoning is used to understand a difficult concept in Figure 2 and Example on p.437 of the eighth edition.

• Huge number of high quality exercises that have benefited from years of development:

—   Makes creating varied assignments easy. 

—   Every section exercise set begins with a Concepts Review, ensuring students get the big picture before sharpening his/her skills. 

• Figures convey, not hide, mathematical ideas — Figures are intentionally drawn simply, to reflect a sketch a student might draw, unlike the overly elaborate figures in other books. 

New Chapter Openers now appear throughout the book:

— Each chapter begins with a set of “Review and Preview Problems” that serve as a necessary review of previous material or a preview of things to come.

New Chapter on Differential Equations 

MyMathLab, the online course designed to accompany the text —  Includes an online tutorial, assessment, text, videos, Student Solutions Manual, and access to Prentice Hall Tutor Center.

Maple, Student Version Software

Numerical methods rearranged to the appropriate chapters:

—   Newton’s method in “Applications of the Derivative”

—   numerical integration in “The Definite Integral” 

—   Taylor polynomial approximation in “Infinite Series”

—   Euler’s method in “Transcendental Functions” or “Techniques of Integration and Differential Equations.”

Single-chapter coverage of two- and three-dimensional vectors rather than in separate chapters.

Streamlined material on conic sections — from five sections to three.

New section on “Strategies for Integration” in the chapter on Techniques of Integration — Includes a summary of the methods of integration and a comparison of exact and numerical integration.

New section on “Change of Variables in Multiple Integrals” in the chapter on Multiple Integration.

New section on “Probability and Random Variables” in the chapter on Applications of the Integral.

Calculus with Differential Equations, 9/e

ISBN: 0-13-230633-6
Dale Varberg/Edwin J. Purcell/Steve E. Rigdon

 

 

0 PRELIMINARIES

0.1

Real Numbers, Estimation, and Logic

0.2

Inequalities and Absolute Values

0.3

The Rectangular Coordinate System

0.4

Graphs of Equations

0.5

Functions and Their Graphs

0.6

Operations on Functions

0.7

The Trigonometric Functions

0.8

Chapter Review

 

1 LIMITS

1.1

Introduction to Limits

1.2

Rigorous Study of Limits

1.3

Limit Theorems

1.4

Limits Involving Trigonometric Functions

1.5

Limits at Infinity; Infinite Limits

1.6

Continuity of Functions

1.7

Chapter Review

 

2 THE DERIVATIVE

2.1

Two Problems with One Theme

2.2

The Derivative

2.3

Rules for Finding Derivatives

2.4

Derivatives of Trigonometric Functions

2.5

The Chain Rule

2.6

Higher-Order Derivatives

2.7

Implicit Differentiation

2.8

Related Rates

2.9

Differentials and Approximations

2.10

Chapter Review

 

3 APPLICATIONS OF THE DERIVATIVE

3.1

Maxima and Minima

3.2

Monotonicity and Concavity


3.3

Local Extrema and Extrema on Open Intervals

3.4

Practical Problems

3.5

Graphing Functions Using Calculus

3.6

The Mean Value Theorem for Derivatives

3.7

Solving Equations Numerically

3.8

Antiderivatives

3.9

Introduction to Differential Equations

3.10

Chapter Review

 

4 THE DEFINITE INTEGRAL

4.1

Introduction to Area

4.2

The Definite Integral

4.3

The 1st Fundamental Theorem of Calculus

4.4

The 2nd Fundamental Theorem of Calculus and the Method of Substitution

4.5

The Mean Value Theorem for Integrals & the Use of Symmetry

4.6

Numerical Integration

4.7

Chapter Review

 

5 APPLICATIONS OF THE INTEGRAL

5.1

The Area of a Plane Region

5.2

Volumes of Solids: Slabs, Disks, Washers

5.3

Volumes of Solids of Revolution: Shells

5.4

Length of a Plane Curve

5.5

Work and Fluid Pressure

5.6

Moments, Center of Mass

5.7

Probability and Random Variables

5.8

Chapter Review

 

6 TRANSCENDENTAL FUNCTIONS

6.1

The Natural Logarithm Function

6.2

Inverse Functions and Their Derivatives

6.3

The Natural Exponential Function

6.4

General Exponential & Logarithmic Functions

6.5

Exponential Growth and Decay

6.6

First-Order Linear Differential Equations

6.7

Approximations for Differential Equations

6.8

The Inverse Trig Functions & Their Derivatives

6.9

The Hyperbolic Functions & Their Inverses

6.10

Chapter Review

 

7 TECHNIQUES OF INTEGRATION

7.1

Basic Integration Rules

7.2

Integration by Parts

7.3

Some Trigonometric Integrals

7.4

Rationalizing Substitutions

7.5

Integration of Rational Functions Using Partial Fractions

7.6

Strategies for Integration

7.7

Chapter Review

 

8 INDETERMINATE FORMS & IMPROPER INTEGRALS

8.1

Indeterminate Forms of Type 0/0

8.2

Other Indeterminate Forms

8.3

Improper Integrals: Infinite Limits of Integration

8.4

Improper Integrals: Infinite Integrands

8.5

Chapter Review

 

9 INFINITE SERIES

9.1

Infinite Sequences

9.2

Infinite Series

9.3

Positive Series: The Integral Test

9.4

Positive Series: Other Tests

9.5

Alternating Series, Absolute Convergence, and Conditional Convergence

9.6

Power Series

9.7

Operations on Power Series

9.8

Taylor and Maclaurin Series

9.9

The Taylor Approximation to a Function

9.10

Chapter Review

 


10 CONICS AND POLAR COORDINATES

10.1

The Parabola

10.2

Ellipses and Hyperbolas

10.3

Translation and Rotation of Axes

10.4

Parametric Representation of Curves in the Plane

10.5

The Polar Coordinate System

10.6

Graphs of Polar Equations

10.7

Calculus in Polar Coordinates

10.8

Chapter Review

 

11 GEOMETRY IN SPACE AND VECTORS

11.1

Cartesian Coordinates in Three-Space

11.2

Vectors

11.3

The Dot Product

11.4

The Cross Product

11.5

Vector Valued Functions & Curvilinear Motion

11.6

Lines in Three-Space

11.7

Curvature and Components of Acceleration

11.8

Surfaces in Three Space

11.9

Cylindrical and Spherical Coordinates

11.10

Chapter Review

 

12 DERIVATIVES OF FUNCTIONS OF TWO OR MORE VARIABLES

12.1

Functions of Two or More Variables

12.2

Partial Derivatives

12.3

Limits and Continuity

12.4

Differentiability

12.5

Directional Derivatives and Gradients

12.6

The Chain Rule

12.7

Tangent Planes and Approximations

12.8

Maxima and Minima

12.9

The Method of Lagrange Multipliers

12.10

Chapter Review

 

13 MULTIPLE INTEGRATION

13.1

Double Integrals over Rectangles

13.2

Iterated Integrals

13.3

Double Integrals over Nonrectangular Regions

13.4

Double Integrals in Polar Coordinates

13.5

Applications of Double Integrals

13.6

Surface Area

13.7

Triple Integrals in Cartesian Coordinates

13.8

Triple Integrals in Cylindrical & Spherical Coordinates

13.9

Change of Variables in Multiple Integrals

13.1

Chapter Review

 

14 VECTOR CALCULUS

14.1

Vector Fields

14.2

Line Integrals

14.3

Independence of Path

14.4

Green's Theorem in the Plane

14.5

Surface Integrals

14.6

Gauss's Divergence Theorem

14.7

Stokes's Theorem

14.8

Chapter Review

 

15 DIFFERENTIAL EQUATIONS

15.1

Linear Homogeneous Equations

15.2

Nonhomogeneous Equations

15.3

Applications of Second-Order Equations

 

APPENDIX

A.1

Mathematical Induction

A.2

Proofs of Several Theorems

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