《Introduction to Matrix Theory(矩阵论引论)》英文编写，较为全面、系统地介绍了矩阵理论的基本理论、方法和部分应用实例。《Introduction to Matrix Theory(矩阵论引论)》共分为9章，内容包括：矩阵基本概念、线性空间与内积空间、线性变换、Jordan标准型、矩阵分解、Hermite矩阵与正定矩阵、范数理论与矩阵分析、广义逆理论及MATLAB软件入门。从理论、到软件、到应用实例，内容丰富，结构严谨。每一章有Reading的部分，各章后面配有一定数量的习题，供读者阅读开阔视野、理解内容和巩固知识。
目錄：
Contents
Chapter 1 Review and Miscellanea: Basic Concepts in Linear Algebra 1
1.1 Matrix Concept and Special Matrices 1
1.2 Matrix Algebra 3
1.3 Eigenvalue and Eigenvector 7
1.4 Reading: Cayley and Sylvester 10
1.5 Self Assessment Exercises 11
Chapter 2 Linear Space and Inner-product Space 13
2.1 Linear Space (Vector Space) 13
2.2 Basis and Dimension of Vector Space 17
2.3 Subspaces 20
2.4 Inner Product Space 21
2.5 Reading: Gram and Schmidt 24
2.6 Self Assessment Exercises 25
Chapter 3 Linear Transformation 27
3.1 Introduction 27
3.2 Linear Transformation with Properties 27
3.3 The Range and Kernel 30
3.4 Matrix Representation of Linear Transformation 32
3.5 Similarity 36
3.6 Reading: Cramer and Gershgorin 38
3.7 Self Assessment Exercises 39
Chapter 4 Jordan Canonical Form 41
4.1 Diagonalizability 41
4.2 Jordan Block Matrix and Jordan Form Matrix 44
4.3 A-matrix and Smith Standard Form 45
4.4 Jordan Canonical Form 49
4.5 Cayley-Hamilton Theorem and Minimal Polynomial 53
4.6 MATLAB Commands for Jordan Canonical Form 55
4.7 Reading: Camille Jordan 57
4.8 Self Assessment Exercises 58
Chapter 5 Matrix Factorization 60
5.1 Introduction 60
5.2 Full Rank Decomposition 60
5.3 LU Factorization 63
5.4 QR Factorization 67
5.5 Schur Decomposition 69
5.6 Singular Value Decomposition(SVD) 71
5.7 An Example of Application: Image Compression 74
5.8 MATLAB Commands for Matrix Factorization 76
5.9 Reading: Householder and Householder Award 78
5.10 Self Assessment Exercises 80
Chapter 6 Hermitian Matrix and Positive Definite Matrix 81
6.1 Hermitian Matrix 81
6.2 Positive Definite Matrix 84
6.3 Reading: Charles Hermite 87
6.4 Self Assessment Exercises 88
Chapter 7 Matrix Norm and Matrix Analysis 89
7.1 Introduction 89
7.2 Vector Norm 89
7.3 Matrix Norm 91
7.4 Matrix Sequence， Series and Function 94
7.5 MATLAB Commands for Norms 98
7.6 Reading: Frobenius 99
7.7 Self Assessment Exercises 100
Chapter 8 The Moore-Penrose Generalized Inverse 102
8.1 Introduction 102
8.2 The Moore-Penrose Generalized Inverse 102
8.3 The Solvability of Linear Systems 105
8.4 MATLAB Commands for the Moore-Penrose Generalized Inverse Matrix 107
8.5 Reading: Moore and Penrose 108
8.6 Self Assessment Exercises 109
Chapter 9 An Introduction to MATLAB 110
9.1 A Glance of MATLAB 110
9.2 Starting Up 111
9.3 MATLAB as A Calculator 112
9.4 Plotting 119
9.5 Programming 122
9.6 Commonly Used Commands Summary 127
9.7 Reading: Golub and Moler 130
Answers to Selected Exercises 132
Bibliography 149
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