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More copies of this ISBNCalculus: Early Vectorsby James Stewart
Synopses & ReviewsPublisher Comments:Once again keeping a keen ear to the needs of the evolving calculus community, Stewart created this text at the suggestion and with the collaboration of professors in the mathematics department at Texas A&M University. With an early introduction to vectors and vector functions, the approach is ideal for engineering students who use vectors early in their curriculum. Stewart begins by introducing vectors in Chapter 1, along with their basic operations, such as addition, scalar multiplication, and dot product. The definition of vector functions and parametric curves is given at the end of Chapter 1 using a twodimensional trajectory of a projectile as motivation. Limits, derivatives, and integrals of vector functions are interwoven throughout the subsequent chapters. As with the other texts in his Calculus series, in Early Vectors Stewart makes us of heuristic examples to reveal calculus to students. His examples stand out because they are not just models for problem solving or a means of demonstrating techniques  they also encourage students to develop an analytic view of the subject. This heuristic or discovery approach in the examples give students an intuitive feeling for analysis.
About the AuthorThe late James Stewart received his M.S. from Stanford University and his Ph.D. from the University of Toronto. He did research at the University of London and was influenced by the famous mathematician George Polya at Stanford University. Stewart was most recently Professor of Mathematics at McMaster University, and his research field was harmonic analysis. Stewart was the author of a bestselling calculus textbook series published by Cengage Learning, including CALCULUS, CALCULUS: EARLY TRANSCENDENTALS, and CALCULUS: CONCEPTS AND CONTEXTS, as well as a series of precalculus texts.
Table of ContentsREVIEW AND PREVIEW. Functions and Their Graphs. Types of Functions. Shifting and Scaling. Graphing Calculators and Computers. Principles of Problem Solving. A Preview of Calculus. 1. INTRODUCTION TO VECTORS AND VECTOR FUNCTIONS. Vectors. The Dot Product. Vector Functions. Review. 2. LIMITS AND RATES OF CHANGE. The Tangent and Velocity Problems. The Limit of a Function. Calculating Limits Using the Limit Law. The Precise Definition of a Limit. Continuity. Limits at Infinity. Horizontal Asymptotes. Tangents, Velocities, and Other Rates of Change. Review. 3. DERIVATIVES. Derivatives. Differentiation Formulas. Rates of Change in the Natural and Social Sciences. Derivatives of Trigonometric Functions. The Chain Rule. Implicit Differentiation. Derivatives of Vector Functions. Higher Derivatives. Slopes and Tangents of Parametric Curves. Related Rates. Differentials; Linear and Quadratic Approximations. Newton's Method. Review. Problems Plus. 4. INVERSE FUNCTIONS: EXPONENTIAL, LOGARITHMIC, AND INVERSE TRIGONOMETRIC FUNCTIONS. Exponential Functions and Their Derivatives. Inverse Functions. Logarithmic Functions. Derivatives of Logarithmic Functions. Exponential Growth and Decay. Inverse Trigonometric Functions. Hyperbolic Functions. Indeterminate Forms and L'Hospital's Rule. Review. Applications Plus. 5. APPLICATIONS OF DIFFERENTIATION. What does f Say about f?. Maximum and Minimum Values. Derivatives and the Shapes of Curves. Graphing with Calculus and Calculators. Applied Maximum and Minimum Problems. Applications to Economics. Antiderivatives. Review. Problems Plus. 6. INTEGRALS. Sigma Notation. Area. The Definite Integral. The Fundamental Theorem of Calculus. The Substitution Rule. The Logarithm Defined as an Integral. Review. Applications Plus. 7. APPLICATIONS OF INTEGRATION. Areas between Curves. Volume. Volumes by Cylindrical Shells. Work. Average Value of a Function. Review. Problems Plus. 8. TECHNIQUES OF INTEGRATION. Integration by Parts. Trigonometric Integrals. Trigonometric Substitution. Integration of Rational Functions by Partial Fractions. Rationalizing Substitutions. Strategy for Integration. Using Tables of Integrals and Computer Algebra Systems. Approximate Integration. Improper Integrals. Review. Applications Plus. 9. FURTHER APPLICATIONS OF INTEGRATION. Differential Equations. FirstOrder Linear Equations. Arc Length. Area of Surface of Revolution. Moments and Centers of Mass. Hydrostatic Pressure and Force. Applications to Economics and Biology. Review. Problems Plus. 10. INFINITE SEQUENCES AND SERIES. Sequences. Series. The Integral Test and Comparison Tests. Other Convergence Tests. Power Series. Representation of Functions as Power Series. Taylor and Maclaurin Series. The Binomial Series. Writing Project: How Newton Discovered the Binomial Series. Applications of Taylor Polynomials. Review. Applications Plus. 11. THREEDIMENSIONAL ANALYTIC GEOMETRY AND VECTORS. ThreeDimensional Coordinate Systems. Vectors and the Dot Product in Three Dimension. The Cross Product. Equations of Lines and Planes. Quadric Surfaces. Vector Functions and Space Curves. Arc Length and Curvature. Motion in Space. Review. Applications Plus. 12. PARTIAL DERIVATIVES. Functions of Several Variables. Limits and Continuity. Partial Derivatives. Tangent Planes and Differentials. The Chain Rule. Directional Derivatives and the Gradient Vector. Maximum and Minimum Values. Lagrange Multipliers. Review. Problems Plus. 13. MULTIPLE INTEGRALS. Double Integrals over Rectangles. Iterated Integrals. Double Integrals over General Regions. Polar Coordinates. Applications of Double Integrals. Surface Area. Triple Integrals. Cylindrical and Spherical Coordinates. Triple Integrals in Cylindrical and Spherical Coordinates. Change of Variables in Multiple Integrals. Review. Applications Plus. 14. VECTOR CALCULUS. Vector Fields. Line Integrals. The Fundamental Theorem for Line Integrals. Green's Theorem. Curl and Divergence. Parametric Surfaces and their Areas. Surface Integrals. Stoke's Theorem. The Divergence Theorem. Summary. Review. Problems Plus. 15. SECONDORDER DIFFERENTIAL EQUATIONS. SecondOrder Linear Equations. Nonhomogeneous Linear Equations. Applications of SecondOrder Differential Equations. Using Series to Solve Differential Equations. Review. Problems Plus. Appendix A: Numbers, Inequalities, and Absolute Values. Appendix B: Coordinate Geometry and Lines. Appendix C: Graphs of SecondDegree Equations. Appendix D: Trigonometry. Appendix E: Mathematical Induction. Appendix F: Proofs of Theorems. Appendix G: Lies My Calculator and Computer Told Me. Appendix H: Complex Numbers. Appendix I: Conic Sections. Appendix J: Conic Sections in Polar Coordinates. Appendix K: Answers to OddNumbered Exercises. Index.
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