Mathematics with Applications, 9/E
ISBN-10: 0321334337
ISBN-13: 9780321334336
Publisher: Pearson
Copyright: 2007
Format: Cloth; 1008 pp
Published: 03/10/2006
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Description
This edition of Mathematics with Applications continues to be an excellent learning tool for applied mathematics students. As always, the text includes the popular margin exercises as well as comprehensive review of algebraic topics, but with this revision comes the fresh insight of a new co-author. Also, at our customers' request, this textbook has additional calculus content, allowing the book to be all that you need and more.
Features
Balanced Approach Multiple representations of a topic (symbolic, numerical, graphical, verbal) are used as appropriate throughout the text.
Real-Data Examples and Applications have long been popular features of this text, and this edition is no exception. The data has been updated and added to throughout the text.
Examples allow students to see how different problems are solved using the techniques shown in the book. As in the real world, many of these problems have multi-step questions and solutions.
Margin Exercises, keyed to the discussion in the text, provide students with an opportunity to practice immediately after learning a new skill. These margin exercises essentially function as a complete, in-text study guide.
Cautions highlight common student difficulties or warn against frequently made mistakes.
Technology Tips appear within the text as appropriate to inform students of various features of their graphing calculators or spreadsheet programs and to guide them in using these tools.
Exercises at the end of each section provide students with a valuable opportunity to practice the material that they have just learned in the chapter. Many of these exercises are tied back into the text, making for a cohesive learning process. In addition to the traditional and application-based exercises, there are also some exercises that require writing, the use of the calculator, skills from earlier sections, or are tied to past CPA exams. Many of the application exercises include real data from cited sources.
End of Chapter materials include a summary of key terms and symbols and key concepts. Once students feel the understand these, they can complete the review exercises to confirm their comprehension of the material covered in the chapter.
Case Studies appear at the end of each chapter. These case studies are contemporary, real-world applications of some of the mathematics presented in the chapter, providing at least a partial answer to the question, "When will I ever use this?"
Pedagogical Use of Color makes this book's art program more effective in enhancing the mathematical exposition and clarifying many graphical presentations.
New To This Edition
Table of Contents
Chapter 1 Algebra and Equations
1.1 The Real Numbers
1.2 Polynomials
1.3 Factoring
1.4 Rational Expressions
1.5 Exponents and Radicals
1.6 First-Degree Equations
1.7 Quadratic Equations
Case 1: Consumers Often Defy Common Sense
Chapter 2 Graphs, Lines, and Inequalities
2.1 Graphs
2.2 Equations of Lines
2.3 Linear Models
2.4 Linear Inequalities
2.5 Polynomial and Rational Inequalities
Case 2: Using Extrapolation to Predict Life Expectancy
Chapter 3 Functions and Graphs
3.1 Functions
3.2 Graphs of Functions
3.3 Applications of Linear Functions
3.4 Quadratic Functions
3.5 Applications of Quadratic Functions
3.6 Polynomial Functions
3.7 Rational Functions
Case 3: Architectural Arches
Chapter 4 Exponential and Logarithmic Functions
4.1 Exponential Functions
4.2 Applications of Exponential Functions
4.3 Logarithmic Functions
4.4 Logarithmic and Exponential Equations
Case 4: Characteristics of the Monkeyface Prickleback
Chapter 5 Mathematics of Finance
5.1 Simple Interest and Discount
5.2 Compound Interest
5.3 Future Value of an Annuity and Sinking Funds
5.4 Present Value of an Annuity and Amortization
Case 5: Time, Money, and Polynomials
Chapter 6 Systems of Linear Equations and Matrices
6.1 Systems of Linear Equations
6.2 The Gauss-Jordan Method
6.3 Basic Matrix Operations
6.4 Matrix Products and Inverses
6.5 Applications of Matrices
Case 6: Matrix Operations and Airline Route Maps
Chapter 7 Linear Programming
7.1 Graphing Linear Inequalities in Two Variables
7.2 Linear Programming: The Graphical Method
7.3 Applications of Linear Programming
7.4 The Simplex Method: Maximization
7.5 Maximization Applications
7.6 The Simplex Method: Duality and Minimization
7.7 The Simplex Method: Nonstandard Problems
Case 7: Cooking with Linear Programming
Chapter 8 Sets and Probability
8.1 Sets
8.2 Applications of Venn Diagrams
8.3 Introduction to Probability
8.4 Basic Concepts of Probability
8.5 Conditional Probability and Independent Events
8.6 Bayes’ Formula
Case 8: Medical Diagnosis
Chapter 9 Counting, Probability Distributions, and Further Topics in Probability
9.1 Probability Distributions and Expected Value
9.2 The Multiplication Principle, Permutations, and Combinations
9.3 Applications of Counting
9.4 Binomial Probability
9.5 Markov Chains
9.6 Decision Making
Case 9: Optimal Inventory for a Service Truck
Chapter 10 Introduction to Statistics
10.1 Frequency Distributions and Measures of Central Tendency
10.2 Measures of Variation
10.3 Normal Distributions
10.4 Normal Approximation to the Binomial Distribution
Case 10: Statistics in the Law—The Castaneda Decision
Chapter 11 Differential Calculus
11.1 Limits
11.2 One-sided Limits and Limits Involving Infinity
11.3 Rates of Change
11.4 Tangent Lines and Derivatives
11.5 Techniques for Finding Derivatives
11.6 Derivatives of Products and Quotients
11.7 The Chain Rule
11.8 Derivatives of Exponential and Logarithmic Functions
11.9 Continuity and Differentiability
Case 11: Price Elasticity of Demand
Chapter 12 Applications of the Derivative
12.1 Derivatives and Graphs
12.2 The Second Derivative
12.3 Optimization Applications
12.4 Curve Sketching
Case 12: A Total Cost Model for a Training Program
Chapter 13 Integral Calculus
13.1 Antiderivatives
13.2 Integration by Substitution
13.3 Area and the Definite Integral
13.4 The Fundamental Theorem of Calculus
13.5 Applications of Integrals
13.6 Tables of Integrals (Optional)
13.7 Differential Equations
Case 13: Bounded Population Growth
Chapter 14 Multivariate Calculus
14.1 Functions of Several Variables
14.2 Partial Derivatives
14.3 Extrema of Functions of Several Variables
Case 14: Global Warming and the Method of Least Squares
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Author Bios
Marge Lial has always been interested in math; it was her favorite subject in the first grade! Marge's intense desire to educate both her students and herself has inspired the writing of numerous best-selling textbooks. Marge, who received Bachelor's and Master's degrees from California State University at Sacramento, is now affiliated with American River College.
Marge is an avid reader and traveler. Her travel experiences often find their way into her books as applications, exercise sets, and feature sets. She is particularly interested in archeology. Trips to various digs and ruin sites have produced some fascinating problems for her textbooks involving such topics as the building of Mayan pyramids and the acoustics of ancient ball courts in the Yucatan.
Thomas W. Hungerford received his bachelor’s degree from Holy Cross and his Ph.D. from the University of Chicago. He taught for many years at the
University of Washington (Seattle) before moving to Cleveland State University in 1980. He has been at Saint Louis University since 2003. He has written a number of research articles in algebra and several in mathematics education. Dr. Hungerford is the author or coauthor of more than a dozen mathematics textbooks, ranging from high school to graduate level, several of which are published by Addison-Wesley. He is active in promoting the effective use of technology in mathematics instruction. Dr. Hungerford has also been a referee and reviewer for various mathematical journals and has served on National Science Foundation panels for selecting grant recipients.
John P. Holcomb, Jr. received his bachelor's degree from St. Bonaventure University and his Ph.D. from the University at Albany, State University of New York. He taught for five years at Youngstown State University prior to arriving at Cleveland State University in Fall 2000. He is an associate professor and frequently collaborates with researchers in a variety of disciplines where he provides statistical analysis. Dr. Holcomb has also authored several papers in statistical education and is very active in the American Statistical Association and the Mathematical Association of America. He was named a Carnegie Scholar in 2000 by the Carnegie Foundation for the Advancement of Teaching and Learning and in 2003 received the Waller Award from the American Statistical Association for outstanding teaching of introductory statistics.
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