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Index
Cover
Title
Copyright
Contents
Prefaces
List of Figures
Chapter 1 Vector Spaces
1.1 Vector Spaces
1.2 Linear Span and Linearly Independence
1.3 Bases for Vector Spaces
1.4 Linear System of Equations
1.5 A First Look of Determinants
1.6 Using Computer Algebra Systems to Perform Computations
1.7 Applications of Vector Spaces
1.7.1 Code
1.7.2 Hamming Code
1.7.3 Linear Code
1.7.4 Golay Code
1.8 Exercises
Chapter 2 Linear Transformations
2.1 Linear Transformations
2.2 Rank and Nullity of a Linear Transformation
2.3 Representation of Linear Transformations by Matrices
2.4 The Algebra of Linear Transformation
2.5 Applications of Linear Transformation
2.5.1 Affine Transformations
2.5.2 Projective Transformations
2.6 Exercises
Chapter 3 Linear Operators
3.1 Characteristic and Minimal Polynomials
3.2 Eigenspaces and Diagonalizability
3.3 Jordan Canonical Form
3.4 Trace
3.5 Determinants
3.6 Generalized Companion Matrix
3.7 Solution of Linear System of Equations
3.8 Some Applications of Matrices
3.8.1 Linear Programming
3.8.2 Geometric Transformation
3.8.3 Matrices in Graph Theory
3.8.4 Positional Relationship of Two Ellipsoids
3.9 Exercises
Chapter 4 Orthogonal Bases
4.1 Inner Product Spaces
4.2 Gram-Schmidt Process to Produce Orthonormal Basis
4.3 Orthogonal Complements and Projections
4.4 Orthogonal Projections and Reflections
4.4.1 Orthogonal Projection Matrix
4.4.2 Reflection Matrix
4.5 Properties of Symmetric Matrices
4.6 QR Factorization
4.7 Singular Value Decomposition
4.8 Applications of SVD and QR Decompositions
4.8.1 Image Processing
4.8.2 QR decomposition and GCD
4.9 Exercises
Chapter 5 Matrix Decomposition
5.1 Decomposition over R or C
5.1.1 Decompositions to Solve Linear Systems
5.1.2 Decompositions Based on Eigenvalues
5.1.3 Examples
5.2 Iterative Methods to Solve Linear Systems Numerically
5.2.1 Jacobi Iterative Method
5.2.2 Gauss-Seidel Iterative Method
5.3 Matrix over Principle Ideal Domain
5.3.1 Matrix Decomposition over PID
5.4 Exercises
Bibliography
Index
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