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Cover: Calculus: Early Transcendentals Multivariable, 4th Edition by Jon Rogawski; Colin Adams; Robert Franzosa
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Calculus: Early Transcendentals Multivariable

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Fourth  Edition|©2019  Jon Rogawski; Colin Adams; Robert Franzosa

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About

We see teaching mathematics as a form of story-telling, both when we present in a classroom and when we write materials for exploration and learning. The goal is to explain to you in a captivating manner, at the right pace, and in as clear a way as possible, how mathematics works and what it can do for you.  We find mathematics to be intriguing and immensely beautiful. We want you to feel that way, too.

Digital Options

E-book

Read online (or offline) with all the highlighting and notetaking tools you need to be successful in this course.

Learn More

Contents

Table of Contents

Chapter 1: Precalculus Review

1.1 Real Numbers, Functions, and Graphs

1.2 Linear and Quadratic Functions

1.3 The Basic Classes of Functions

1.4 Trigonometric Functions

1.5 Inverse Functions

1.6 Exponential and Logarithmic Functions

1.7 Technology: Calculators and Computers


Chapter 2: Limits

2.1 The Limit Idea: Instantaneous Velocity and Tangent Lines

2.2 Investigating Limits

2.3 Basic Limit Laws

2.4 Limits and Continuity

2.5 Indeterminate Forms

2.6 The Squeeze Theorem and Trigonometric Limits

2.7 Limits at Infinity

2.8 The Intermediate Value Theorem

2.9 The Formal Definition of a Limit


Chapter 3: Differentiation

3.1 Definition of the Derivative

3.2 The Derivative as a Function

3.3 Product and Quotient Rules

3.4 Rates of Change

3.5 Higher Derivatives

3.6 Trigonometric Functions

3.7 The Chain Rule

3.8 Implicit Differentiation

3.9 Derivatives of General Exponential and Logarithmic Functions

3.10 Related Rates


Chapter 4: Applications of the Derivative

4.1 Linear Approximation and Applications

4.2 Extreme Values

4.3 The Mean Value Theorem and Monotonicity

4.4 The Second Derivative and Concavity

4.5 L’Hôpital’s Rule

4.6 Analyzing and Sketching Graphs of Functions

4.7 Applied Optimization

4.8 Newton’s Method


Chapter 5: Integration

5.1 Approximating and Computing Area

5.2 The Definite Integral

5.3 The Indefinite Integral

5.4 The Fundamental Theorem of Calculus, Part I

5.5 The Fundamental Theorem of Calculus, Part II

5.6 Net Change as the Integral of a Rate of Change

5.7 The Substitution Method

5.8 Further Integral Formulas


Chapter 6: Applications of the Integral

6.1 Area Between Two Curves

6.2 Setting Up Integrals: Volume, Density, Average Value

6.3 Volumes of Revolution: Disks and Washers

6.4 Volumes of Revolution: Cylindrical Shells

6.5 Work and Energy


Chapter 7: Techniques of Integration

7.1 Integration by Parts

7.2 Trigonometric Integrals

7.3 Trigonometric Substitution

7.4 Integrals Involving Hyperbolic and Inverse Hyperbolic Functions

7.5 The Method of Partial Fractions

7.6 Strategies for Integration

7.7 Improper Integrals

7.8 Numerical Integration


Chapter 8: Further Applications of the Integral

8.1 Probability and Integration

8.2 Arc Length and Surface Area

8.3 Fluid Pressure and Force

8.4 Center of Mass


Chapter 9: Introduction to Differential Equations

9.1 Solving Differential Equations

9.2 Models Involving y=k(y-b)

9.3 Graphical and Numerical Methods

9.4 The Logistic Equation

9.5 First-Order Linear Equations


Chapter 10: Infinite Series

10.1 Sequences

10.2 Summing an Infinite Series

10.3 Convergence of Series with Positive Terms

10.4 Absolute and Conditional Convergence

10.5 The Ratio and Root Tests and Strategies for Choosing Tests

10.6 Power Series

10.7 Taylor Polynomials

10.8 Taylor Series


Chapter 11: Parametric Equations, Polar Coordinates, and Conic Sections

11.1 Parametric Equations

11.2 Arc Length and Speed

11.3 Polar Coordinates

11.4 Area and Arc Length in Polar Coordinates

11.5 Conic Sections


Chapter 12: Vector Geometry

12.1 Vectors in the Plane

12.2 Three-Dimensional Space: Surfaces, Vectors, and Curves

12.3 Dot Product and the Angle Between Two Vectors

12.4 The Cross Product

12.5 Planes in 3-Space

12.6 A Survey of Quadric Surfaces

12.7 Cylindrical and Spherical Coordinates


Chapter 13: Calculus of Vector-Valued Functions

13.1 Vector-Valued Functions

13.2 Calculus of Vector-Valued Functions

13.3 Arc Length and Speed

13.4 Curvature

13.5 Motion in 3-Space

13.6 Planetary Motion According to Kepler and Newton


Chapter 14: Differentiation in Several Variables

14.1 Functions of Two or More Variables

14.2 Limits and Continuity in Several Variables

14.3 Partial Derivatives

14.4 Differentiability, Tangent Planes, and Linear Approximation

14.5 The Gradient and Directional Derivatives

14.6 The Chain Rule

14.7 Optimization in Several Variables

14.8 Lagrange Multipliers: Optimizing with a Constraint


Chapter 15: Multiple Integration

15.1 Integration in Two Variables

15.2 Double Integrals Over More General Regions

15.3 Triple Integrals

15.4 Integration in Polar, Cylindrical, and Spherical Coordinates

15.5 Applications of Multiple Integrals

15.6 Change of Variables


Chapter 16: Line and Surface Integrals

16.1 Vector Fields

16.2 Line Integrals

16.3 Conservative Vector Fields

16.4 Parametrized Surfaces and Surface Integrals

16.5 Surface Integrals of Vector Fields


Chapter 17: Fundamental Theorems of Vector Analysis

17.1 Green’s Theorem

17.2 Stokes’ Theorem

17.3 Divergence Theorem

Authors

Jon Rogawski

Jon Rogawski received his undergraduate and master’s degrees in mathematics simultaneously from Yale University, and he earned his PhD in mathematics from Princeton University, where he studied under Robert Langlands. Before joining the Department of Mathematics at UCLA in 1986, where he was a full professor, he held teaching and visiting positions at the Institute for Advanced Study, the University of Bonn, and the University of Paris at Jussieu and Orsay. Jon’s areas of interest were number theory, automorphic forms, and harmonic analysis on semisimple groups. He published numerous research articles in leading mathematics journals, including the research monograph Automorphic Representations of Unitary Groups in Three Variables (Princeton University Press). He was the recipient of a Sloan Fellowship and an editor of the Pacific Journal of Mathematics and the Transactions of the AMS. As a successful teacher for more than 30 years, Jon Rogawski listened and learned much from his own students. These valuable lessons made an impact on his thinking, his writing, and his shaping of a calculus text. Sadly, Jon Rogawski passed away in September 2011. Jon’s commitment to presenting the beauty of calculus and the important role it plays in students’ understanding of the wider world is the legacy that lives on in each new edition of Calculus.


Colin Adams

Colin Adams is the Thomas T. Read professor of Mathematics at Williams College, where he has taught since 1985. Colin received his undergraduate degree from MIT and his PhD from the University of Wisconsin. His research is in the area of knot theory and low-dimensional topology. He has held various grants to support his research, and written numerous research articles. Colin is the author or co-author of The Knot Book, How to Ace Calculus: The Streetwise Guide, How to Ace the Rest of Calculus: The Streetwise Guide, Riot at the Calc Exam and Other Mathematically Bent Stories, Why Knot?, Introduction to Topology: Pure and Applied, and Zombies & Calculus. He co-wrote and appears in the videos “The Great Pi vs. E Debate” and “Derivative vs. Integral: the Final Smackdown.” He is a recipient of the Haimo National Distinguished Teaching Award from the Mathematical Association of America (MAA) in 1998, an MAA Polya Lecturer for 1998-2000, a Sigma Xi Distinguished Lecturer for 2000-2002, and the recipient of the Robert Foster Cherry Teaching Award in 2003. Colin has two children and one slightly crazy dog, who is great at providing the entertainment.


Robert Franzosa

Robert (Bob) Franzosa is a professor of mathematics at the University of Maine where he has been on the faculty since 1983. Bob received a BS in mathematics from MIT in 1977 and a Ph.D. in mathematics from the University of Wisconsin in 1984. His research has been in dynamical systems and in applications of topology in geographic information systems. He has been involved in mathematics education outreach in the state of Maine for most of his career. Bob is a co-author of Introduction to Topology: Pure and Applied and Algebraic Models in Our World. He was awarded the University of Maine’s Presidential Outstanding Teaching award in 2003. Bob is married, has two children, three step-children, and one recently-arrived grandson.


Rogawski’s Calculus & Achieve: Teaching the Why of Calculus, not just the How

We see teaching mathematics as a form of story-telling, both when we present in a classroom and when we write materials for exploration and learning. The goal is to explain to you in a captivating manner, at the right pace, and in as clear a way as possible, how mathematics works and what it can do for you.  We find mathematics to be intriguing and immensely beautiful. We want you to feel that way, too.

E-book

Read online (or offline) with all the highlighting and notetaking tools you need to be successful in this course.

Learn More

Table of Contents

Chapter 1: Precalculus Review

1.1 Real Numbers, Functions, and Graphs

1.2 Linear and Quadratic Functions

1.3 The Basic Classes of Functions

1.4 Trigonometric Functions

1.5 Inverse Functions

1.6 Exponential and Logarithmic Functions

1.7 Technology: Calculators and Computers


Chapter 2: Limits

2.1 The Limit Idea: Instantaneous Velocity and Tangent Lines

2.2 Investigating Limits

2.3 Basic Limit Laws

2.4 Limits and Continuity

2.5 Indeterminate Forms

2.6 The Squeeze Theorem and Trigonometric Limits

2.7 Limits at Infinity

2.8 The Intermediate Value Theorem

2.9 The Formal Definition of a Limit


Chapter 3: Differentiation

3.1 Definition of the Derivative

3.2 The Derivative as a Function

3.3 Product and Quotient Rules

3.4 Rates of Change

3.5 Higher Derivatives

3.6 Trigonometric Functions

3.7 The Chain Rule

3.8 Implicit Differentiation

3.9 Derivatives of General Exponential and Logarithmic Functions

3.10 Related Rates


Chapter 4: Applications of the Derivative

4.1 Linear Approximation and Applications

4.2 Extreme Values

4.3 The Mean Value Theorem and Monotonicity

4.4 The Second Derivative and Concavity

4.5 L’Hôpital’s Rule

4.6 Analyzing and Sketching Graphs of Functions

4.7 Applied Optimization

4.8 Newton’s Method


Chapter 5: Integration

5.1 Approximating and Computing Area

5.2 The Definite Integral

5.3 The Indefinite Integral

5.4 The Fundamental Theorem of Calculus, Part I

5.5 The Fundamental Theorem of Calculus, Part II

5.6 Net Change as the Integral of a Rate of Change

5.7 The Substitution Method

5.8 Further Integral Formulas


Chapter 6: Applications of the Integral

6.1 Area Between Two Curves

6.2 Setting Up Integrals: Volume, Density, Average Value

6.3 Volumes of Revolution: Disks and Washers

6.4 Volumes of Revolution: Cylindrical Shells

6.5 Work and Energy


Chapter 7: Techniques of Integration

7.1 Integration by Parts

7.2 Trigonometric Integrals

7.3 Trigonometric Substitution

7.4 Integrals Involving Hyperbolic and Inverse Hyperbolic Functions

7.5 The Method of Partial Fractions

7.6 Strategies for Integration

7.7 Improper Integrals

7.8 Numerical Integration


Chapter 8: Further Applications of the Integral

8.1 Probability and Integration

8.2 Arc Length and Surface Area

8.3 Fluid Pressure and Force

8.4 Center of Mass


Chapter 9: Introduction to Differential Equations

9.1 Solving Differential Equations

9.2 Models Involving y=k(y-b)

9.3 Graphical and Numerical Methods

9.4 The Logistic Equation

9.5 First-Order Linear Equations


Chapter 10: Infinite Series

10.1 Sequences

10.2 Summing an Infinite Series

10.3 Convergence of Series with Positive Terms

10.4 Absolute and Conditional Convergence

10.5 The Ratio and Root Tests and Strategies for Choosing Tests

10.6 Power Series

10.7 Taylor Polynomials

10.8 Taylor Series


Chapter 11: Parametric Equations, Polar Coordinates, and Conic Sections

11.1 Parametric Equations

11.2 Arc Length and Speed

11.3 Polar Coordinates

11.4 Area and Arc Length in Polar Coordinates

11.5 Conic Sections


Chapter 12: Vector Geometry

12.1 Vectors in the Plane

12.2 Three-Dimensional Space: Surfaces, Vectors, and Curves

12.3 Dot Product and the Angle Between Two Vectors

12.4 The Cross Product

12.5 Planes in 3-Space

12.6 A Survey of Quadric Surfaces

12.7 Cylindrical and Spherical Coordinates


Chapter 13: Calculus of Vector-Valued Functions

13.1 Vector-Valued Functions

13.2 Calculus of Vector-Valued Functions

13.3 Arc Length and Speed

13.4 Curvature

13.5 Motion in 3-Space

13.6 Planetary Motion According to Kepler and Newton


Chapter 14: Differentiation in Several Variables

14.1 Functions of Two or More Variables

14.2 Limits and Continuity in Several Variables

14.3 Partial Derivatives

14.4 Differentiability, Tangent Planes, and Linear Approximation

14.5 The Gradient and Directional Derivatives

14.6 The Chain Rule

14.7 Optimization in Several Variables

14.8 Lagrange Multipliers: Optimizing with a Constraint


Chapter 15: Multiple Integration

15.1 Integration in Two Variables

15.2 Double Integrals Over More General Regions

15.3 Triple Integrals

15.4 Integration in Polar, Cylindrical, and Spherical Coordinates

15.5 Applications of Multiple Integrals

15.6 Change of Variables


Chapter 16: Line and Surface Integrals

16.1 Vector Fields

16.2 Line Integrals

16.3 Conservative Vector Fields

16.4 Parametrized Surfaces and Surface Integrals

16.5 Surface Integrals of Vector Fields


Chapter 17: Fundamental Theorems of Vector Analysis

17.1 Green’s Theorem

17.2 Stokes’ Theorem

17.3 Divergence Theorem

Headshot of Jon Rogawski

Jon Rogawski

Jon Rogawski received his undergraduate and master’s degrees in mathematics simultaneously from Yale University, and he earned his PhD in mathematics from Princeton University, where he studied under Robert Langlands. Before joining the Department of Mathematics at UCLA in 1986, where he was a full professor, he held teaching and visiting positions at the Institute for Advanced Study, the University of Bonn, and the University of Paris at Jussieu and Orsay. Jon’s areas of interest were number theory, automorphic forms, and harmonic analysis on semisimple groups. He published numerous research articles in leading mathematics journals, including the research monograph Automorphic Representations of Unitary Groups in Three Variables (Princeton University Press). He was the recipient of a Sloan Fellowship and an editor of the Pacific Journal of Mathematics and the Transactions of the AMS. As a successful teacher for more than 30 years, Jon Rogawski listened and learned much from his own students. These valuable lessons made an impact on his thinking, his writing, and his shaping of a calculus text. Sadly, Jon Rogawski passed away in September 2011. Jon’s commitment to presenting the beauty of calculus and the important role it plays in students’ understanding of the wider world is the legacy that lives on in each new edition of Calculus.


Headshot of Colin Adams

Colin Adams

Colin Adams is the Thomas T. Read professor of Mathematics at Williams College, where he has taught since 1985. Colin received his undergraduate degree from MIT and his PhD from the University of Wisconsin. His research is in the area of knot theory and low-dimensional topology. He has held various grants to support his research, and written numerous research articles. Colin is the author or co-author of The Knot Book, How to Ace Calculus: The Streetwise Guide, How to Ace the Rest of Calculus: The Streetwise Guide, Riot at the Calc Exam and Other Mathematically Bent Stories, Why Knot?, Introduction to Topology: Pure and Applied, and Zombies & Calculus. He co-wrote and appears in the videos “The Great Pi vs. E Debate” and “Derivative vs. Integral: the Final Smackdown.” He is a recipient of the Haimo National Distinguished Teaching Award from the Mathematical Association of America (MAA) in 1998, an MAA Polya Lecturer for 1998-2000, a Sigma Xi Distinguished Lecturer for 2000-2002, and the recipient of the Robert Foster Cherry Teaching Award in 2003. Colin has two children and one slightly crazy dog, who is great at providing the entertainment.


Headshot of Robert Franzosa

Robert Franzosa

Robert (Bob) Franzosa is a professor of mathematics at the University of Maine where he has been on the faculty since 1983. Bob received a BS in mathematics from MIT in 1977 and a Ph.D. in mathematics from the University of Wisconsin in 1984. His research has been in dynamical systems and in applications of topology in geographic information systems. He has been involved in mathematics education outreach in the state of Maine for most of his career. Bob is a co-author of Introduction to Topology: Pure and Applied and Algebraic Models in Our World. He was awarded the University of Maine’s Presidential Outstanding Teaching award in 2003. Bob is married, has two children, three step-children, and one recently-arrived grandson.


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