Elementary Linear Algebra (Classic Version)
$126.65
| Title | Range | Discount |
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| Trade Discount | 5 + | 25% |
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Description
PREFACE ix
TO THE STUDENT xv
CHAPTER 1 MATRICES, VECTORS, AND SYSTEMS OF LINEAR EQUATIONS 1
1.1 Matrices and Vectors 1
1.2 Linear Combinations, Matrix—Vector Products, and Special Matrices 11
1.3 Systems of Linear Equations 25
1.4 Gaussian Elimination 39
1.5∗ Applications of Systems of Linear Equations 54
1.6 The Span of a Set of Vectors 64
1.7 Linear Dependence and Linear Independence 73
Chapter 1 Review Exercises
Chapter 1 MATLAB Exercises
CHAPTER 2 MATRICES AND LINEAR TRANSFORMATIONS 90
2.1 Matrix Multiplication 90
2.2∗ Applications of Matrix Multiplication 101
2.3 Invertibility and Elementary Matrices 117
2.4 The Inverse of a Matrix 130
2.5∗ Partitioned Matrices and Block Multiplication 141
2.6∗ The LU Decomposition of a Matrix 147
2.7 Linear Transformations and Matrices 162
2.8 Composition and Invertibility of Linear Transformations 175
Chapter 2 Review Exercises
Chapter 2 MATLAB Exercises
CHAPTER 3 DETERMINANTS 192
3.1 Cofactor Expansion 192
3.2 Properties of Determinants 204
Chapter 3 Review Exercises
Chapter 3 MATLAB Exercises
CHAPTER 4 SUBSPACES AND THEIR PROPERTIES 218
4.1 Subspaces 218
4.2 Basis and Dimension 232
4.3 The Dimension of Subspaces Associated with a Matrix 245
4.4 Coordinate Systems 254
4.5 Matrix Representations of Linear Operators 266
Chapter 4 Review Exercises
Chapter 4 MATLAB Exercises
CHAPTER 5 EIGENVALUES, EIGENVECTORS, AND DIAGONALIZATION 282
5.1 Eigenvalues and Eigenvectors 282
5.2 The Characteristic Polynomial 291
5.3 Diagonalization of Matrices 302
5.4∗ Diagonalization of Linear Operators 314
5.5∗ Applications of Eigenvalues 323
Chapter 5 Review Exercises
Chapter 5 MATLAB Exercises
CHAPTER 6 ORTHOGONALITY 347
6.1 The Geometry of Vectors 347
6.2 Orthogonal Vectors 360
6.3 Orthogonal Projections 374
6.4 Least-Squares Approximations and Orthogonal Projections 388
6.5 Orthogonal Matrices and Operators 398
6.6 Symmetric Matrices 412
6.7∗ Singular Value Decomposition 425
6.8∗ Principal Component Analysis 443
6.9∗ Rotations of R3 and Computer Graphics 452
Chapter 6 Review Exercises
Chapter 6 MATLAB Exercises
CHAPTER 7 VECTOR SPACES 473
7.1 Vector Spaces and Their Subspaces 473
7.2 Linear Transformations 485
7.3 Basis and Dimension 495
7.4 Matrix Representations of Linear Operators 505
7.5 Inner Product Spaces 517
Chapter 7 Review Exercises
Chapter 7 MATLAB Exercises
APPENDICES 534
A Sets 534
B Functions 536
C Complex Numbers 539
D Matlab 544
E The Uniqueness of the Reduced Row Echelon Form 558
REFERENCES 561
ANSWERS TO SELECTED EXERCISES 562
LIST OF FREQUENTLY USED SYMBOLS 608
INDEX 609
For a sophomore-level course in Linear Algebra
This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.
Based on the recommendations of the Linear Algebra Curriculum Study Group, this introduction to linear algebra offers a matrix-oriented approach with more emphasis on problem solving and applications. Throughout the text, use of technology is encouraged. The focus is on matrix arithmetic, systems of linear equations, properties of Euclidean n-space, eigenvalues and eigenvectors, and orthogonality. Although matrix-oriented, the text provides a solid coverage of vector spaces
Hallmark features of this title
- Examples are accompanied by similar practice problems that enable students to test their understanding of the material Complete solutions to the practice problems are included with the text
- All computational exercises are designed so that the calculations involve “nice” numbers.
- Most sections include approximately 20 true/false exercises designed to test students’ understanding of the conceptual ideas in each section. Answers to every true/false are given in the book.
- Each chapter ends with a set of review exercises that provide practice with all the main topics of each chapter.
- For a proof-oriented course, the authors have included a significant number of accessible exercises requiring proofs. They are ordered according to difficulty.
- A wide variety of applications include traffic flow, scheduling, and Google searches.
New and updated features of this title
- Significantly increased number of computation exercises.
- Complete redesign and development of the text.
Based on the recommendations of the Linear Algebra Curriculum Study Group, Elementary Linear Algebra: A Matrix Approach offers a matrix-oriented approach with more emphasis on problem solving and applications. Throughout the 2nd Edition, use of technology is encouraged. The focus is on matrix arithmetic, systems of linear equations, properties of Euclidean n-space, eigenvalues and eigenvectors, and orthogonality. Although matrix-oriented, the text provides a solid coverage of vector spaces.
This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.
Additional information
| Dimensions | 1.35 × 8.00 × 10.00 in |
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| Subjects | mathematics, higher education, Calculus, Applied & Advanced Math, Advanced Math, Linear Algebra |
