Student Solutions Manual for Calculus and Its Applications

Marvin Bittinger has been teaching math at the university level for more than thirty-eight years. Since 1968, he has been employed at Indiana University Purdue University Indianapolis, and is now professor emeritus of mathematics education. Professor Bittinger has authored over 250 publications on topics ranging from basic mathematics to algebra and trigonometry to applied calculus. He received his BA in mathematics from Manchester College and his PhD in mathematics education from Purdue University. Special honors include Distinguished Visiting Professor at the United States Air Force Academy and his election to the Manchester College Board of Trustees from 1992 to 1999. His hobbies include hiking in Utah, baseball, golf, and bowling. Professor Bittinger has also had the privilege of speaking at many mathematics conventions, most recently giving a lecture entitled "Baseball and Mathematics." In addition, he also has an interest in philosophy and theology, in particular, apologetics. Professor Bittinger currently lives in Carmel, Indiana, with his wife, Elaine. He has two grown and married sons, Lowell and Chris, and four granddaughters.  David Ellenbogen has taught math at the college level for over thirty years, spending most of that time in the Massachusetts and Vermont community college systems, where he has served on both curriculum and developmental math committees. He has also taught at St. Michael's College and the University of Vermont. Professor Ellenbogen has been active in the American Mathematical Association of Two Year Colleges since 1985, having served on its Developmental Mathematics Committee and as a Vermont state delegate.  He has been a member of the Mathematical Association of America since 1979 and has authored dozens of publications on topics ranging from prealgebra to calculus and has delivered lectures at numerous conferences on the use of language in mathematics. Professor Ellenbogen received his BA in mathematics from Bates College and his MA in community college mathematics education from the University of Massachusetts at Amherst, and a certificate of graduate study in Ecological Economics from the University of Vermont. Professor Ellenbogen has a deep love for the environment and the outdoors, and serves on the boards of three nonprofit organizations in his home state of Vermont. In his spare time, he enjoys playing jazz piano, hiking, biking, and skiing. He has two sons, Monroe and Zack. Scott Surgent received his B.S. and M.S. degrees in mathematics from the University of California—Riverside, and has taught mathematics at Arizona State University in Tempe, Arizona, since 1994. He is an avid sports fan and has authored books on hockey, baseball, and hiking. Scott enjoys hiking and climbing the mountains of the western United States. He was active in search and rescue, including six years as an Emergency Medical Technician with the Central Arizona Mountain Rescue Association (Maricopa County Sheriff’s Office) from 1998 until 2004. Scott and his wife, Beth, live in Scottsdale, Arizona. Gene Kramer received his PhD from the University of Cincinnati, where he researched the well-posedness of initial-boundary value problems for nonlinear wave equations.  He is currently a professor of mathematics at the University of Cincinnati Blue Ash College.  He is active in scholarship of teaching and learning research and is a member of the Academy of the Fellows for Teaching and Learning at the University of Cincinnati.  He is a co-founder and an editor for The Journal for Research and Practice in College Teaching and serves as a Peer Reviewer for the Higher Learning Commission.

• Prerequisite Skills Diagnostic TestR. Functions, Graphs, and Models R.1 Graphs and EquationsR.2 Functions and ModelsR.3 Finding Domain and RangeR.4 Slope and Linear FunctionsR.5 Nonlinear Functions and ModelsR.6 Exponential and Logarithmic FunctionsR.7 Mathematical Modeling and Curve FittingChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application: Average Price of a Movie Ticket1. Differentiation 1.1 Limits: A Numerical and Graphical Approach1.2 Algebraic Limits and Continuity1.3 Average Rates of Change1.4 Differentiation Using Limits and Difference Quotients1.5 Leibniz Notation and the Power and Sum—Difference Rules1.6 The Product and Quotient Rules1.7 The Chain Rule1.8 Higher-Order DerivativesChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application: Path of a Baseball: The Tale of the Tape2. Exponential and Logarithmic Functions 2.1 Exponential and Logarithmic Functions of the Natural Base, e2.2 Derivatives of Exponential (Base-e) Functions2.3 Derivatives of Natural Logarithmic Functions2.4 Applications: Uninhibited and Limited Growth Models2.5 Applications: Exponential Decay2312.6 The Derivatives of ax and loga xChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application: The Business of Motion Picture Revenue and DVD Release3. Applications of Differentiation 3.1 Using First Derivatives to Classify Maximum and Minimum Values and Sketch Graphs3.2 Using Second Derivatives to Classify Maximum and Minimum Values and Sketch Graphs3.3 Graph Sketching: Asymptotes and Rational Functions3.4 Optimization: Finding Absolute Maximum and Minimum Values3.5 Optimization: Business, Economics, and General Applications3.6 Marginals, Differentials, and Linearization3.7 Elasticity of Demand3.8 Implicit Differentiation and Logarithmic Differentiation3.9 Related RatesChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application: Maximum Sustainable Harvest4. Integration 4.1 Antidifferentiation4.2 Antiderivatives as Areas4.3 Area and Definite Integrals4.4 Properties of Definite Integrals: Additive Property, Average Value, and Moving Average4.5 Integration Techniques: Substitution4.6 Integration Techniques: Integration by Parts4.7 Numerical IntegrationChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application: Business and Economics: Distribution of Wealth5. Applications of Integration 5.1 Consumer and Producer Surplus; Price Floors, Price Ceilings, and Deadweight Loss5.2 Integrating Growth and Decay Models5.3 Improper Integrals5.4 Probability5.5 Probability: Expected Value; the Normal Distribution5.6 Volume5.7 Differential EquationsChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application: Curve Fitting and Volumes of Containers6. Functions of Several Variables 6.1 Functions of Several Variables6.2 Partial Derivatives6.3 Maximum—Minimum Problems6.4 An Application: The Least-Squares Technique6.5 Constrained Optimization: Lagrange Multipliers and the Extreme-Value Theorem6.6 Double IntegralsChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application: Minimizing Employees’ Travel Time in a Building7. Trigonometric Functions 7.1 Basics of Trigonometry7.2 Derivatives of Trigonometric Functions7.3 Integration of Trigonometric Functions7.4 Inverse Trigonometric Functions and ApplicationsChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application8. Differential Equations 8.1 Direction Fields, Autonomic Forms, and Population Models8.2 Applications: Inhibited Growth Models8.3 First-Order Linear Differential Equations8.4 Higher-Order Differential Equations and a Trigonometry ConnectionChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application9. Sequences and Series 9.1 Arithmetic Sequences and Series9.2 Geometric Sequences and Series9.3 Simple and Compound Interest9.4 Annuities and Amortization9.5 Power Series and Linearization9.6 Taylor Series and a Trigonometry ConnectionChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application10. Probability Distributions 10.1 A Review of Sets10.2 Theoretical Probability10.3 Discrete Probability Distributions10.4 Continuous Probability Distributions: Mean, Variance, and Standard DeviationChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application11. Systems and Matrices (online only) 11.1 Systems of Linear Equations11.2 Gaussian Elimination11.3 Matrices and Row Operations11.4 Matrix Arithmetic: Equality, Addition, and Scalar Multiples11.5 Matrix Multiplication, Multiplicative Identities, and Inverses11.6 Determinants and Cramer’s Rule11.7 Systems of Linear Inequalities and Linear ProgrammingChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application12. Combinatorics and Probability (online only) 12.1 Compound Events and Odds12.2 Combinatorics: The Multiplication Principle and Factorial Notation12.3 Permutations and Distinguishable Arrangements12.4 Combinations and the Binomial Theorem12.5 Conditional Probability and the Hypergeometric Probability Distribution Model12.6 Independent Events, Bernoulli Trials, and the Binomial Probability Model12.7 Bayes TheoremChapter SummaryChapter Review ExercisesChapter TestExtended Technology Application  Cumulative ReviewAPPENDICES A. Review of Basic AlgebraB. Indeterminate Forms and l’Hôpital’s RuleC. Regression and Microsoft ExcelD. Areas for a Standard Normal DistributionE. Using Tables of Integration FormulasAnswers Index of Applications Index