# University Calculus, Early Transcendentals: International Edition (2e)

Joel R. Hass, University of California, Davis
Maurice D. Weir, Naval Postgraduate School
George B. Thomas, Massachusetts Institute of Technology
Title University Calculus, Early Transcendentals: International Edition
Edition 2nd
ISBN 9780321753878
ISBN 10 0321753879
Published 11/02/2011
Pages 1080
Format Paperback
Out of stock

Total Price \$113.95 Add to Cart
##### Description

This text is designed for a three-semester or four-quarter calculus course (math, engineering, and science majors).

University Calculus, Early Transcendentals, Second Edition is the ideal choice for professors who want a streamlined text with plenty of exercises. This text helps students successfully generalize and apply the key ideas of calculus through clear and precise explanations, thoughtfully chosen examples, and superior exercise sets. This text offers the right mix of basic, conceptual, and challenging exercises, along with meaningful applications. This significant revision features more examples, more mid-level exercises, more figures, improved conceptual flow, and the best in technology for learning and teaching.

The text is available with a robust MyMathLab® course–an online homework, tutorial, and study solution designed for today’s students. In addition to interactive multimedia features like Java applets and animations, thousands of MathXL® exercises that reflect the richness of those in the text are available for students.

1. Functions

1.1 Functions and Their Graphs

1.2 Combining Functions; Shifting and Scaling Graphs

1.3 Trigonometric Functions

1.4 Graphing with Calculators and Computers

1.5 Exponential Functions

1.6 Inverse Functions and Logarithms

2. Limits and Continuity

2.1 Rates of Change and Tangents to Curves

2.2 Limit of a Function and Limit Laws

2.3 The Precise Definition of a Limit

2.4 One-Sided Limits

2.5 Continuity

2.6 Limits Involving Infinity; Asymptotes of Graphs

3. Differentiation

3.1 Tangents and the Derivative at a Point

3.2 The Derivative as a Function

3.3 Differentiation Rules

3.4 The Derivative as a Rate of Change

3.5 Derivatives of Trigonometric Functions

3.6 The Chain Rule

3.7 Implicit Differentiation

3.8 Derivatives of Inverse Functions and Logarithms

3.9 Inverse Trigonometric Functions

3.10 Related Rates

3.11 Linearization and Differentials

4. Applications of Derivatives

4.1 Extreme Values of Functions

4.2 The Mean Value Theorem

4.3 Monotonic Functions and the First Derivative Test

4.4 Concavity and Curve Sketching

4.5 Indeterminate Forms and L'Hôpital's Rule

4.6 Applied Optimization

4.7 Newton's Method

4.8 Antiderivatives

5. Integration

5.1 Area and Estimating with Finite Sums

5.2 Sigma Notation and Limits of Finite Sums

5.3 The Definite Integral

5.4 The Fundamental Theorem of Calculus

5.5 Indefinite Integrals and the Substitution Rule

5.6 Substitution and Area Between Curves

6. Applications of Definite Integrals

6.1 Volumes Using Cross-Sections

6.2 Volumes Using Cylindrical Shells

6.3 Arc Length

6.4 Areas of Surfaces of Revolution

6.5 Work

6.6 Moments and Centers of Mass

7. Integrals and Transcendental Functions

7.1 The Logarithm Defined as an Integral

7.2 Exponential Change and Separable Differential Equations

7.3 Hyperbolic Functions

8. Techniques of Integration

8.1 Integration by Parts

8.2 Trigonometric Integrals

8.3 Trigonometric Substitutions

8.4 Integration of Rational Functions by Partial Fractions

8.5 Integral Tables and Computer Algebra Systems

8.6 Numerical Integration

8.7 Improper Integrals

9. Infinite Sequences and Series

9.1 Sequences

9.2 Infinite Series

9.3 The Integral Test

9.4 Comparison Tests

9.5 The Ratio and Root Tests

9.6 Alternating Series, Absolute and Conditional Convergence

9.7 Power Series

9.8 Taylor and Maclaurin Series

9.9 Convergence of Taylor Series

9.10 The Binomial Series and Applications of Taylor Series

10. Parametric Equations and Polar Coordinates

10.1 Parametrizations of Plane Curves

10.2 Calculus with Parametric Curves

10.3 Polar Coordinates

10.4 Graphing in Polar Coordinates

10.5 Areas and Lengths in Polar Coordinates

10.6 Conics in Polar Coordinates

11. Vectors and the Geometry of Space

11.1 Three-Dimensional Coordinate Systems

11.2 Vectors

11.3 The Dot Product

11.4 The Cross Product

11.5 Lines and Planes in Space

12. Vector-Valued Functions and Motion in Space

12.1 Curves in Space and Their Tangents

12.2 Integrals of Vector Functions; Projectile Motion

12.3 Arc Length in Space

12.4 Curvature and Normal Vectors of a Curve

12.5 Tangential and Normal Components of Acceleration

12.6 Velocity and Acceleration in Polar Coordinates

13. Partial Derivatives

13.1 Functions of Several Variables

13.2 Limits and Continuity in Higher Dimensions

13.3 Partial Derivatives

13.4 The Chain Rule

13.5 Directional Derivatives and Gradient Vectors

13.6 Tangent Planes and Differentials

13.7 Extreme Values and Saddle Points

13.8 Lagrange Multipliers

14. Multiple Integrals

14.1 Double and Iterated Integrals over Rectangles

14.2 Double Integrals over General Regions

14.3 Area by Double Integration

14.4 Double Integrals in Polar Form

14.5 Triple Integrals in Rectangular Coordinates

14.6 Moments and Centers of Mass

14.7 Triple Integrals in Cylindrical and Spherical Coordinates

14.8 Substitutions in Multiple Integrals

15. Integration in Vector Fields

15.1 Line Integrals

15.2 Vector Fields and Line Integrals: Work, Circulation, and Flux

15.3 Path Independence, Conservative Fields, and Potential Functions

15.4 Green's Theorem in the Plane

15.5 Surfaces and Area

15.6 Surface Integrals

15.7 Stokes' Theorem

15.8 The Divergence Theorem and a Unified Theory

16. First-Order Differential Equations (Online)

16.1 Solutions, Slope Fields, and Euler's Method

16.2 First-Order Linear Equations

16.3 Applications

16.4 Graphical Solutions of Autonomous Equations

16.5 Systems of Equations and Phase Planes

17. Second-Order Differential Equations (Online)

17.1 Second-Order Linear Equations

17.2 Nonhomogeneous Linear Equations

17.3 Applications

17.4 Euler Equations

17.5 Power Series Solutions

Appendices

1. Real Numbers and the Real Line

2. Mathematical Induction

3. Lines, Circles, and Parabolas

4. Conic Sections

5. Proofs of Limit Theorems

6. Commonly Occurring Limits

7. Theory of the Real Numbers

8. Complex Numbers

9. The Distributive Law for Vector Cross Products

10. The Mixed Derivative Theorem and the Increment Theorem

11. Taylor's Formula for Two Variables

##### New to this edition
• 760 new, updated, and improved exercises, including many new mid-level exercises, provide more ways for you to address your students’ needs
• New examples in many sections clarify or deepen the meaning of the topics covered and help students understand their mathematical applications and consequences to science and engineering.
• 75 new figures have been added, and many others have been revised to enhance conceptual understanding.
• MyMathLab now has more than 7,000 assignable exercises, including 670 that address prerequisite skills, giving you the selection you need to create the right homework assignments and assessments.
• Content revisions are apparent throughout the text, and many of these changes were driven by suggestions from users:
• Limits: to improve the flow of the chapter on limits, the authors have combined the ideas of limits involving infinity and their associations with asymptotes to the graphs of functions, placing them in the final section of the chapter.
• Differentiation: to coalesce the derivative concept into a single chapter, the authors have moved the section “Tangents and the Derivative at a Point” from the end of Chapter 2 to the beginning of Chapter 3. In addition, they have reorganized and increased the number of the related rates examples in Section 3.10, and have added new examples and exercises on graphing rational functions in Section 4.4.
• Integration coverage has been improved. Integrals, as “limits of Riemann sums,” motivated primarily by the problem of finding the areas of general regions with curved boundaries, now form the substance of Chapter 5. After carefully developing the integral concept, the authors turn the focus to its evaluation and connection to antiderivatives captured in the Fundamental Theorem of Calculus. The ensuing applications then define the various geometric ideas of area, volume, lengths of paths, and centroids all as limits of Riemann sums giving definite integrals, which can be evaluated by finding an antiderivative of the integrand.
• Parametric equations have been moved to Chapter 10, joining polar coordinates and conic sections, in order to better prepare students for coverage of vectors and multivariable calculus.
• Series coverage is more accessible to students with the addition of a number of new figures and exercises as well as the revision of some of the proofs related to convergence of power series.
• Vector-valued functions coverage has been streamlined to place more emphasis on the conceptual ideas supporting the later material on partial derivatives, the gradient vector, and line integrals.
• Multivariable calculus: the authors have reorganized the opening material on double integrals, and combined the applications of double and triple integrals to masses and moments into a single section covering both two- and three-dimensional cases. This reorganization allows for better flow of the key mathematical concepts, together with their properties and computational aspects.
• Vector Fields: important theorems and results are stated more clearly and completely together with enhanced explanations of their hypotheses and mathematical consequences. The area of a surface is now organized into a single section, and surfaces defined implicitly or explicitly are treated as special cases of the more general parametric representation. Surface integrals and their applications then follow as a separate section.
• Differential equations: The authors give an introductory treatment of first-order differential equations in Chapter 16, including a new section on systems and phase planes, with applications to the competitive-hunter and predator-prey models.  An introduction to second-order differential equations is in Chapter 17. Both of these chapters are available for download on the Thomas' Calculus website (www.pearsonhighered.com/thomas).

##### Features & benefits
• The exercises are known for their breadth and quality, with carefully constructed exercise sets that progress from skills problems to applied and theoretical problems. The text contains more than 8,000 exercises in all.
• End-of-chapter exercises feature review questions, practice exercises covering the entire chapter, and a series of Additional and Advanced Exercises.
• Figures are conceived and rendered to support conceptual reasoning and provide insight for students. They are also consistently captioned to aid understanding.
• The flexible table of contents divides complex topics into manageable sections, allowing instructors to tailor their course to meet the specific needs of their students. For example, the precise definition of the limit is contained in its own section and may be skipped.
• Complete and precise multivariable coverage enhances the connections of multivariable ideas with their single-variable analogues studied earlier in the book.
• A robust MyMathLab course contains more than 7,000 assignable exercises, a complete e-book, and built-in tutorials so students can get help whenever they need it.
• A complete suite of instructor and student supplements saves class preparation time for instructors and improves students’ learning.

##### Author biography

Joel Hass received his PhD from the University of California–Berkeley. He is currently a professor of mathematics at the University of California–Davis. He has coauthored six widely used calculus texts as well as two calculus study guides. He is currently on the editorial board of Geometriae Dedicata and Media-Enhanced Mathematics. He has been a member of the Institute for Advanced Study at Princeton University and of the Mathematical Sciences Research Institute, and he was a Sloan Research Fellow. Hass’s current areas of research include the geometry of proteins, three dimensional manifolds, applied math, and computational complexity. In his free time, Hass enjoys kayaking.

Maurice D. Weir holds a DA and MS from Carnegie-Mellon University and received his BS at Whitman College. He is a Professor Emeritus of the Department of Applied Mathematics at the Naval Postgraduate School in Monterey, California. Weir enjoys teaching Mathematical Modeling and Differential Equations. His current areas of research include modeling and simulation as well as mathematics education. Weir has been awarded the Outstanding Civilian Service Medal, the Superior Civilian Service Award, and the Schieffelin Award for Excellence in Teaching. He has coauthored eight books, including the University Calculus series and the twelfth edition of Thomas’ Calculus.

George B. Thomas, Jr. (late) of the Massachusetts Institute of Technology, was a professor of mathematics for thirty-eight years; he served as the executive officer of the department for ten years and as graduate registration officer for five years. Thomas held a spot on the board of governors of the Mathematical Association of America and on the executive committee of the mathematics division of the American Society for Engineering Education. His book, Calculus and Analytic Geometry, was first published in 1951 and has since gone through multiple revisions. The text is now in its twelfth edition and continues to guide students through their calculus courses. He also co-authored monographs on mathematics, including the text Probability and Statistics.