ISBN-10:
0321497449
ISBN-13:
9780321497444
Pub. Date:
02/13/2008
Publisher:
Addison Wesley
College Algebra and Trigonometry / Edition 4

College Algebra and Trigonometry / Edition 4

Hardcover

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Product Details

ISBN-13: 9780321497444
Publisher: Addison Wesley
Publication date: 02/13/2008
Series: Lial/Hornsby/Schneider College Algebra Series Series
Edition description: Older Edition
Pages: 1264
Product dimensions: 8.14(w) x 10.20(h) x 1.83(d)

About the Author

Marge Lial (late) was always interested in math; it was her favorite subject in the first grade! Her desire to educate both her students and herself inspired the writing of numerous best-selling textbooks. Marge, who received Bachelor's and Master's degrees from California State University at Sacramento, was most recently affiliated with American River College. An avid reader and traveler, Marge’s travel experiences often find their way into her books as applications, exercise sets, and feature sets. She was particularly interested in archeology. Trips to various digs and ruin sites 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.

When John Hornsby enrolled as an undergraduate at Louisiana State University, he was uncertain whether he wanted to study mathematics education or journalism. His ultimate decision was to become a teacher, and now after more than twenty-five years of teaching at the high school and university levels and fifteen years of writing mathematics textbooks, both of his goals have been realized. His love for both teaching andmathematics is evident in his passion for working with students and fellow teachers as well. His specific professional interests are recreational mathematics, mathematics history, and incorporating graphing calculators into the curriculum. John's personal life is busy, as he devotes time to his family (wife Gwen, and sons Chris, Jack, and Josh). He has been a rabid baseball fan all of his life. John's other hobbies include numismatics (the study of coins) and record collecting. He loves the music of the 1960s and has an extensive collection of the recorded works of Frankie Valli and the Four Seasons.

David Schneider has taught mathematics at universities for more than 34 years and has authored 36 books. He has an undergraduate degree in mathematics from Oberlin College and a PhD in mathematics from MIT. During most of his professional career, he was on the faculty of the University of Maryland—College Park. His hobbies include travel, dancing, bicycling, and hiking.

Callie Daniels has always had a passion for learning mathematics and brings that passion into the classroom with her students. She attended the University of the Ozarks on an athletic scholarship, playing both basketball and tennis. While there, she earned a Bachelor’s degree in Secondary Mathematics Education as well as the NAIA Academic All-American Award. She has two Master’s degrees: one in Applied Mathematics and Statistics from the University of Missouri—Rolla, the second in Adult Education from the University of Missouri—St. Louis. Her hobbies include watching her sons play sports, riding horses, fishing, shooting photographs, and playing guitar. Her professional interests include improving success in the community college mathematics sequence, using technology to enhance students’ understanding of mathematics, and creating materials that support classroom teaching and student understanding.

Table of Contents

1. Algebraic Expressions.
Real Numbers and Their Properties.
Order and Absolute Value.
Polynomials; The Binomial Theorem.
Factoring Polynomials.
Rational Expressions.
Rational Exponents.
Radical Expressions.

2. Equations and Inequalities.
Linear Equations.
Linear Applications and Modeling.
Complex Numbers.
Quadratic Equations.
Quadratic Applications and Modeling.
Other Types of Equations.
Inequalities.
Absolute Value Equations and Inequalities.

3. Relations, Functions, and Graphs.
Relations and the Rectangular Coordinate System; Circles.
Functions.
Linear Functions.
Equations of Lines; Curve Fitting.
Graphs of Relations and Functions.
General Graphing Techniques.
Operations and Composition.

4. Polynomial and Rational Functions.
Quadratic Functions; Curve Fitting.
Synthetic Division.
Zeros of Polynomial Functions.
Polynomials Functions: Graphs, Applications, and Models.
Rational Functions: Graphs, Applications, and Models.
Variation.

5. Exponential and Logarithmic Functions.
Inverse Functions.
Exponential Functions.
Logarithmic Functions.
Evaluating Logarithms and the Change-of-Base Theorem.
Exponential and Logarithmic Equations.
Applications and Models of Exponential Growth and Decay.

6. Trigonometric Functions.
Angles.
Trigonometric Functions and Fundamental Identities.
Finding Trigonometric Function Values.
Solving Right Triangles.
Radian Measure.
Circular Functions and Their Applications.
Graphs of the Sine and Cosine Functions.
Graphs of the Other Circular Functions.

7. Trigonometric Identities andEquations.
Fundamental Identities.
Verifying Trigonometric Identities.
Sum and Difference Identities.
Double-Angle Identities and Half-Angle Identities.
Inverse Trigonometric Functions.
Trigonometric Equations.
Equations with Inverse Trigonometric Functions.

8. Applications of Trigonometry.
Oblique Triangles and the Law of Sines.
The Law of Cosines.
Vectors and Their Applications.
Products and Quotients of Complex Numbers.
Powers and Roots of Complex Numbers.
Polar Equations.
Parametric Equations.

9. Systems of Equations and Inequalities.
Linear Systems of Equations.
Matrix Solution of Linear Systems.
Determinant Solution of Linear Systems.
Partial Fractions.
Nonlinear Systems.
Systems of Inequalities and Linear Programming.
Properties of Matrices.
Matrix Inverses.

10. Analytic Geometry.
Parabolas.
Ellipses.
Hyperbolas.
Summary of the Conic Sections.

11. Further Topics in Algebra.
Sequences and Series.
Arithmetic Sequences and Series.
Geometric Sequences and Series.
The Binomial Theorem Revisited.
Mathematical Induction.
Counting Theory.
Basics of Probability.

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