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Preface ix
PART ONE Preliminaries 1
CHAPTER 1 Basic Algebraic Operations 3
1-1   Sets 4
1-2   Algebra and Real Numbers 11
1-3   Basic Operations on Polynomials 20
1-4   Factoring Polynomials 28
1-5   Basic Operations on Rational Expressions 34
1-6   Integer Exponents and Square Root Radicals 41
1-7   Rational Exponents and Radicals 49
Chapter 1   Review 56

CHAPTER 2

Equations, Graphs, and Functions

61
2-1   Linear Equations and Inequalities in One Variable 62
2-2   Quadratic Equations 73
2-3   Cartesian Coordinate System and Straight Lines 81
2-4   Functions 95
2-5   Linear and Quadratic Functions 109
Chapter 2   Review 122

CHAPTER 3

Exponential and Logarithmic Functions

127
3-1   Exponential Functions 128
3-2   The Exponential Function with Base e 137
3-3   Logarithmic Functions 145
3-4   Chapter Review 158

PART TWO

FINITE MATHEMATICS

163
CHAPTER 4 Mathematics of Finance 165
3-1   Simple Interest 166
3-2   Compound Interest 172
3-3   Future Value of an Annuity; Sinking Funds 184
3-4   Present Value of an Annuity; Amortization 192
Chapter 3   Review 205

CHAPTER 5

Systems of Linear Equations; Matrices

211
5-1   Review: Systems of Linear Equations in Two Variables 212
5-2   Systems of Linear Equations and Augmented Matrices 225
5-3   Gauss–Jordan Elimination 234
5-4   Matrices–Addition and Multiplication by a Number 248
5-5   Matrix Multiplication 255
5-6   Inverse of a Square Matrix 265
5-7   Matrix Equations and Systems of Linear Equations 276
5-8   Chapter Review 288

CHAPTER 6

Linear Inequalities and Linear Programming

293
6-1   Systems of Linear Inequalities in Two Variables 294
6-2   Linear Programming in Two Dimensions—A Geometric Approach 307
6-3   A Geometric Introduction to the Simplex Method 326
6-4   The Simplex Method: Maximization with Problem Constraints of the Form ¾ 336
6-5   Chapter Review 358

CHAPTER 7

Probability

363
7-1   Basic Counting Principles 365
7-2   Permutations and Combinations 376
7-3   Sample Spaces, Events 390
7-4   Empirical Probability 406
7-5   Random Variable, Probability Distribution, and Expectation 415
7-6   Chapter Review 426

CHAPTER 8

Additional Topics in Probability

433
8-1   Union, Intersection, and Complement of Events; Odds 433
8-2   Conditional Probability, Intersection, and Independence 451
8-3   Bayes' Formula 470
8-4   Chapter Review 480

PART THREE

CALCULUS

485
CHAPTER 9 The Derivative 487
9-1   Limits and Continuity—A Geometric Introduction 489
9-2   Computation of Limits 508
9-3   The Derivative 524
9-4   Derivatives of Constants, Power Forms, and Sums 538
9-5   Derivatives of Products and Quotients 551
9-6   Chain Rule: Power Form 560
9-7   Marginal Analysis in Business and Economics 568
9-8   Chapter Review 579

CHAPTER 10

Additional Derivative Topics

587
10-1   First Derivative and Graphs 588
10-2   Second Derivative and Graphs 605
10-3   Curve Sketching Techniques: Unified and Extended 619
10-4   Optimization; Absolute Maxima and Minima 636
10-5   The Constant e and Continuous Compound Interest 655
10-6   TDerivatives of Logarithmic and Exponential Functions 664
10-7   Chain Rule: General Form 675
10-8   Chapter Review 686

CHAPTER 11

Integration

693
11-1   Antiderivatives and Indefinite Integrals 694
11-2   Integration by Substitution 708
11-3   Definite Integrals 720
11-4   Area and the Definite Integral 732
11-5   Definite Integral as a Limit of a Sum 745
11-6   Consumers' and Producers' Surplus 760
11-7 Chapter Review 768

APPENDIX A

Special Topics

A1
A-1 Sequences, Series, and Summation Notation A2
A-2 Arithmetic Progressions A10
A-3 Geometric Progressions A14
A-4 The Binomial Theorem A20

APPENDIX B

Tables

A25
Table I Basic Geometric Formulas A26
Table II Mathematics of Finance A28
Answers A45
Index I1
Applications Index Inside front cover

 
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