目录 Chapter 1 Linear Equations in Linear Algebra001 1.1Systems of Linear Equations001 1.2Row Reduction and Echelon Forms008 1.3Solutions of Linear Systems012 1.4Vector Equations014 Exercises017 Chapter 2 Matrix Algebra019 2.1Matrix Operations019 2.2The Inverse of a Matrix024 2.3Partitoned Matrices028 2.4Matrix Factorizations031 2.5Subspace of Rn032 2.6Dimension and Rank035 Exercises037 Chapter 3 Determinants040 3.1Introduction to Determinants040 3.2Properties of Determinants043 3.3Cofactor Expansion048 3.4The Inverse of a Matrix050 3.5Cramer’s Rule053 Exercises054 Chapter 4 Vector Spaces058 4.1Definition of Vector Spaces058 4.2Subspaces and Span062 4.3Linearly Independent Sets068 4.4Bases and Dimension071 4.5Inner Product,Length,Angle074 4.6Orthonormal Basis and the Gram-Schmidt Procedure078 Exercises084 Chapter 5 Eigenvalues and Eigenvectors088 5.1Definition of Eigenvalues and Eigenvectors088 5.2Properties of Eigenvalues and Eigenvectors092 5.3Similarity and Diagonalization096 5.4Diagonalization of Symmetric Matrices100 Exercises105 Chapter 6 Solution Sets of Linear Systems107 6.1Homogeneous Linear Systems107 6.2Solutions of Nonhomogeneous Systems108 6.3Applications of Linear Systems110 Exercises113 Chapter 7 Symmetric Matrices and Quadratic Forms117 7.1Diagonalization of Symmetric Matrices117 7.2Quadratic Forms119 7.3Quadratic Problems122 7.4The Singular Value Decomposition126 7.5Applications to Statistics129 Exercises132 References134
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