16314_00_fm.qxd 8/3/06 6:04 PM Page i Finite Mathematics and Applied Calculus Fourth Edition STEFAN WANER Hofstra University STEVEN R. COSTENOBLE Hofstra University Australia • Brazil • Canada • Mexico • Singapore Spain • United Kingdom • United States 16314_00_fm.qxd 7/18/06 2:51 AM Page ii Finite Mathematics and Applied Calculus,Fourth Edition Stefan Waner and Steven R. 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Library of Congress Control Number:2006925005 ISBN 0-495-01631-4 16314_00_fm.qxd 8/3/06 5:08 PM Page iii Finite Mathematics and Applied Calculus Fourth Edition 16314_00_fm.qxd 8/3/06 5:08 PM Page iv Brief Contents Chapter 0 Algebra Review 1 Chapter 1 Functions and Linear Models 33 Chapter 2 Systems of Linear Equations and Matrices 113 Chapter 3 Matrix Algebra and Applications 173 Chapter 4 Linear Programming 257 Chapter 5 The Mathematics of Finance 341 Chapter 6 Sets and Counting 393 Chapter 7 Probability 443 Chapter 8 Random Variables and Statistics 543 Chapter 9 Nonlinear Models 615 Chapter 10 Introduction to the Derivative 685 Chapter 11 Techniques of Differentiation 797 Chapter 12 Applications of the Derivative 851 Chapter 13 The Integral 919 Chapter 14 Further Integration Techniques and Applications of the Integral 981 Chapter 15 Functions of Several Variables 1041 Chapter 16 Trigonometric Models 1111 Chapter S Calculus Applied to Probability and Statistics (ONLINE) Appendix A Logic A1 Appendix B Table: Area Under a Normal Curve A17 Answers to Selected Exercises A18 Index I-1 16314_00_fm.qxd 8/3/06 5:08 PM Page v Contents Chapter 0 Algebra Review 1 Introduction 2 0.1 Real Numbers 2 0.2 Exponents and Radicals 8 0.3 Multiplying and Factoring Algebraic Expressions 17 0.4 Rational Expressions 21 0.5 Solving Polynomial Equations 23 0.6 Solving Miscellaneous Equations 29 Chapter 1 Functions and Linear Models 33 Introduction 34 1.1 Functions from the Numerical and Algebraic Viewpoints 34 1.2 Functions from the Graphical Viewpoint 44 1.3 Linear Functions 55 1.4 Linear Models 66 1.5 Linear Regression 82 Key Concepts 93 Review Exercises 93 Case Study Modeling Spending on Internet Advertising 95 Technology Guides 99 Optional Online Topic New Functions from Old: Scaled and Shifted Functions Chapter 2 Systems of Linear Equations and Matrices 113 Introduction 114 2.1 Systems of Two Equations in Two Unknowns 114 2.2 Using Matrices to Solve Systems of Equations 127 2.3 Applications of Systems of Linear Equations 145 Key Concepts 159 Review Exercises 159 Case Study The Impact of Regulating Sulfur Emissions 162 Technology Guides 165 Chapter 3 Matrix Algebra and Applications 173 Introduction 174 3.1 Matrix Addition and Scalar Multiplication 174 3.2 Matrix Multiplication 184 3.3 Matrix Inversion 198 3.4 Game Theory 209 v 16314_00_fm.qxd 7/18/06 2:51 AM Page vi vi Contents 3.5 Input-Output Models 226 Key Concepts 238 Review Exercises 238 Case Study The Japanese Economy 241 Technology Guides 244 Chapter 4 Linear Programming 257 Introduction 258 4.1 Graphing Linear Inequalities 258 4.2 Solving Linear Programming Problems Graphically 269 4.3 The Simplex Method: Solving Standard Maximization Problems 285 4.4 The Simplex Method: Solving General Linear Programming Problems 302 4.5 The Simplex Method and Duality (OPTIONAL) 315 Key Concepts 329 Review Exercises 329 Case Study Airline Scheduling 332 Technology Guides 336 Chapter 5 The Mathematics of Finance 341 Introduction 342 5.1 Simple Interest 342 5.2 Compound Interest 350 5.3 Annuities, Loans, and Bonds 360 Key Concepts 374 Review Exercises 374 Case Study Saving for College 376 Technology Guides 380 Chapter 6 Sets and Counting 393 Introduction 394 6.1 Sets and Set Operations 394 6.2 Cardinality 405 6.3 The Addition and Multiplication Principles 416 6.4 Permutations and Combinations 426 Key Concepts 439 Review Exercises 439 Case Study Designing a Puzzle 441 Chapter 7 Probability 443 Introduction 444 7.1 Sample Spaces and Events 444 7.2 Estimated and Theoretical Probability 457 7.3 Properties of Probability Distributions 473 16314_00_fm.qxd 7/18/06 2:51 AM Page vii Contents vii 7.4 Probability and Counting Techniques (OPTIONAL) 483 7.5 Conditional Probability and Independence 491 7.6 Bayes’Theorem and Applications 507 7.7 Markov Systems 517 Key Concepts 531 Review Exercises 531 Case Study The Monty Hall Problem 534 Technology Guides 536 Chapter 8 Random Variables and Statistics 543 Introduction 544 8.1 Random Variables and Distributions 544 8.2 Bernoulli Trials and Binomial Random Variables 554 8.3 Measures of Central Tendency 562 8.4 Measures of Dispersion 574 8.5 Normal Distributions 589 Key Concepts 601 Review Exercises 601 Case Study Spotting Tax Fraud with Benford’s Law 603 Technology Guides 607 Optional Online Topics Sampling Distributions and the Central Limit Theorem Confidence Intervals Hypothesis Testing Chapter 9 Nonlinear Models 615 Introduction 616 9.1 Quadratic Functions and Models 616 9.2 Exponential Functions and Models 628 9.3 Logarithmic Functions and Models 645 9.4 Logistic Functions and Models 658 Key Concepts 667 Review Exercises 667 Case Study Checking up on Malthus 670 Technology Guides 674 Optional Online Topics Inverse Functions Using and Deriving Algebraic Properties of Logarithms Chapter 10 Introduction to the Derivative 685 Introduction 686 10.1 Limits: Numerical and Graphical Approaches (OPTIONAL) 686 10.2 Limits and Continuity (OPTIONAL) 698 10.3 Limits and Continuity: Algebraic Approach (OPTIONAL) 703 16314_00_fm.qxd 7/18/06 2:51 AM Page viii viii Contents 10.4 Average Rate of Change 712 10.5 Derivatives: Numerical and Graphical Viewpoints 727 10.6 The Derivative: Algebraic Viewpoint 749 10.7 Derivatives of Powers, Sums, and Constant Multiples 758 10.8 A First Application: Marginal Analysis 772 Key Concepts 783 Review Exercises 783 Case Study Reducing Sulfur Emissions 787 Technology Guides 790 Optional Online Topics Sketching the Graph of the Derivative Proof of the Power Rule Continuity and Differentiability Chapter 11 Techniques of Differentiation 797 Introduction 798 11.1 The Product and Quotient Rules 798 11.2 The Chain Rule 810 11.3 Derivatives of Logarithmic and Exponential Functions 822 11.4 Implicit Differentiation (OPTIONAL) 839 Key Concepts 841 Review Exercises 841 Case Study Projecting Market Growth 843 Optional Online Topic Linear Approximation and Error Estimation Chapter 12 Applications of the Derivative 851 Introduction 852 12.1 Maxima and Minima 852 12.2 Applications of Maxima and Minima 865 12.3 The Second Derivative and Analyzing Graphs 878 12.4 Related Rates 893 12.5 Elasticity 902 Key Concepts 911 Review Exercises 911 Case Study Production Lot Size Management 913 Technology Guides 917 Chapter 13 The Integral 919 Introduction 920 13.1 The Indefinite Integral 920 13.2 Substitution 932 13.3 The Definite Integral: Numerical and Graphical Approaches 941 13.4 The Definite Integral: Algebraic Approach and the Fundamental Theorem of Calculus 959 16314_00_fm.qxd 7/18/06 2:51 AM Page ix Contents ix Key Concepts 969 Review Exercises 969 Case Study Wage Inflation 971 Technology Guides 976 Optional Online Topic Numerical Integration Chapter 14 Further Integration Techniques and Applications of the Integral 981 Introduction 982 14.1 Integration by Parts 982 14.2 Area Between Two Curves and Applications 989 14.3 Averages and Moving Averages 996 14.4 Applications to Business and Economics: Consumers’and Producers’ Surplus and Continuous Income Streams (OPTIONAL) 1004 14.5 Improper Integrals and Applications 1014 14.6 Differential Equations and Applications 1023 Key Concepts 1031 Review Exercises 1031 Case Study Estimating Tax Revenues 1033 Technology Guides 1038 Chapter 15 Functions of Several Variables 1041 Introduction 1042 15.1 Functions of Several Variables from the Numerical and Algebraic Viewpoints 1042 15.2 Three-Dimensional Space and the Graph of a Function of Two Variables 1054 15.3 Partial Derivatives 1064 15.4 Maxima and Minima 1073 15.5 Constrained Maxima and Minima and Applications 1082 15.6 Double Integrals and Applications 1089 Key Concepts 1098 Review Exercises 1098 Case Study Modeling Household Income 1100 Technology Guides 1108 Chapter 16 Trigonometric Models 1111 Introduction 1112 16.1 Trigonometric Functions, Models, and Regression 1112 16.2 Derivatives of Trigonometric Functions and Applications 1125 16.3 Integrals of Trigonometric Functions and Applications 1132 Key Concepts 1140 Review Exercises 1140 Case Study Predicting Cocoa Inventories 1141 Technology Guides 1144
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