Linear Algebra: A Modern Introduction, 4th Edition Linear Algebra: A Modern Introduction, 4th Edition

Linear Algebra: A Modern Introduction, 4th Edition

4th Edition | ISBN: 9781285463247 / 1285463242

1,786

expert-verified solutions in this book

Linear Algebra: A Modern Introduction, 4th Edition
Buy on Amazon.com

4th Edition | ISBN: 9781285463247 / 1285463242

1,786

expert-verified solutions in this book

Buy on Amazon.com

Table of Contents

Chapter 1

Vectors

1.1 The Geometry and Algebra of Vectors Exercises p.16
1.2 Length and Angle: The Dot Product Exercises p.29
1.3 Lines and Planes Exercises p.44
1.4 Applications Exercises p.53
Chapter Review p.55

Chapter 2

Systems Of Linear Equations

2.1 Introduction to Systems of Linear Equations Exercises p.63
2.2 Direct Methods for Solving Linear Systems Exercises p.79
2.3 Spanning Sets and Linear Independence Exercises p.97
2.4 Applications Exercises p.113
2.5 Iterative Methods for Solving Linear Systems Exercises p.132
Chapter Review p.134

Chapter 3

Matrices

3.1 Matrix Operations Exercises p.152
3.2 Matrix Algebra Exercises p.161
3.3 The Inverse of a Matrix Exercises p.178
3.4 The LU Factorization Exercises p.189
3.5 Subspaces, Basis, Dimension, and Rank Exercises p.209
3.6 Introduction to Linear Transformations Exercises p.223
3.7 Applications Exercises p.245
Chapter Review p.252

Chapter 4

Eigenvalues And Eigenvectors

4.1 Introduction to Eigenvalues and Eigenvectors Exercises p.260
4.2 Determinants Exercises p.281
4.3 Eigenvalues and Eigenvectors of n X n Matrices Exercises p.298
4.4 Similarity and Diagonalization Exercises p.309
4.5 Iterative Methods for Computing Eigenvalues Exercises p.323
4.6 Applications and the Perron-Frobenius Theorem Exercises p.359
Chapter Review p.365

Chapter 5

Orthogonality

5.1 Orthogonality in R^n Exercises p.376
5.2 Orthogonal Complements and Orthogonal Projections Exercises p.387
5.3 The Gram-Schmidt Process and the QR Factorization Exercises p.394
5.4 Orthogonal Diagonalization of Symmetric Matrices Exercises p.407
5.5 Applications Exercises p.423
Chapter Review p.425

Chapter 6

Vector Spaces

6.1 Vector Spaces and Subspaces Exercises p.441
6.2 Linear Independence, Basis, and Dimension Exercises p.456
6.3 Change of Basis Exercises p.471
6.4 Linear Transformations Exercises p.480
6.5 The Kernel and Range of a Linear Transformation Exercises p.495
6.6 The Matrix of a Linear Transformation Exercises p.512
6.7 Applications Exercises p.525
Chapter Review p.527

Chapter 7

Distance And Approximation

7.1 Inner Product Spaces Exercises p.540
7.2 Norms and Distance Functions Exercises p.566
7.3 Least Squares Approximation Exercises p.586
7.4 The Singular Value Decomposition Exercises p.609
7.5 Applications Exercises p.617
Chapter Review p.618
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