1.1 Basic Notation and Terminology 14 1.2 Operations Relating Matrices 16 1.3 Inequality Relations Between Matrices 17 1.4 Operations Related to Individual Matrices 17 1.5 Some Special Matrices 22 1.6 Some Terms and Quantities Related to Matrices 24 2.1 Rules Related to Matrix Sums and Differences 27 2.2 Rules Related to Matrix Multiplication 28 2.3 Rules Related to Multiplication by a Scalar 30 2.4 Rules for the Kronecker Product 31 2.5 Rules for the Hadamard Product 32 2.6 Rules for Direct Sums 34 3.1 The Transpose 35 3.2 The Conjugate 36 3.3 The Conjugate Transpose 37 3.4 The Adjoint of a Square Matrix 39 3.5 The Inverse of a Square Matrix 39 3.5.1 General Results 39 3.5.2 Inverses Involving Sums and Differences 40 3.5.3 Partitioned Inverses 41 3.5.4 Inverses Involving Commutation, Duplication and 43 3.6 Generalized Inverses 44 3.6.1 General Results 44 3.6.2 The Moore-Penrose Inverse 46 3.7 Matrix Powers 49 3.8 The Absolute Value 51 4.1 The Trace 53 4.1.1 General Results 53 4.1.2 Inequalities Involving the Trace 55 4.1.3 Optimization of Functions Involving the Trace 57 4.2 The Determinant 59 4.2.1 General Results 59 4.2.2 Determinants of Partitioned Matrices 61 4.2.3 Determinants Involving Duplication Matrices 63 4.2.4 Determinants Involving Elimination Matrices 64 4.2.5 Determinants Involving Both Duplication and Elimination 65 4.2.6 Inequalities Related to Determinants 66 4.2.7 Optimization of Functions Involving a Determinant 68 4.3 The Rank of a Matrix 70 4.3.1 ????? 70 4.3.2 Matrix Decompositions Related to the Rank 72 4.3.3 Inequalities Related to the Rank 73 5.1 Definitions 74 5.2 Properties of Eigenvalues and Eigenvectors 75 5.2.1 General Results 75 5.2.2 Optimization Properties of Eigenvalues 78 5.2.3 Matrix Decompositions Involving Eigenvalues 80 5.3 Eigenvalue Inequalities 83 5.3.1 Inequalities for the Eigenvalues of a Single Matrix 83 5.3.2 Relations Between Eigenvalues of More Than One Matrix 85 5.4 Results for the Spectral Radius 87 5.5 Singular Values 89 5.5.1 General Results 89 5.5.2 Inequalities 91 6.1 Complex Matrix Decompositions 93 6.1.1 Jordan Type Decompositions 93 6.1.2 Diagonal Decompositions 95 6.1.3 Other Triangular Decompositions and Factorizations 96 6.1.4 Miscellaneous Decompositions 98 6.2 Real Matrix Decompositions 99 6.2.1 Jordan Decompositions 99 6.2.2 Other Real Block Diagonal and Diagonal Decompositions 100 6.2.3 Other Triangular and Miscellaneous Reductions 102 7.1 Definitions 104 7.2 Rules for the vec Operator 106 7.3 Rules for the vech Operator 108 8.1 General Definitions 110 8.2 Specific Norms and Inner Products 112 8.3 Results for General Norms and Inner Products 113 8.4 Results for Matrix Norms 115 8.4.1 General Matrix Norms 115 8.4.2 Induced Matrix Norms 117 8.5 Properties of Special Norms 118 8.5.1 General Results 118 8.5.2 Inequalities 120 9.1 Circulant Matrices 122 9.2 Commutation Matrices 124 9.2.1 General Properties 125 9.2.2 Kronecker Products 126 9.2.3 Relations With Duplication and Elimination Matrices 127 9.3 Convergent Matrices 128 9.4 Diagonal Matrices 129 9.5 Duplication Matrices 131 9.5.1 General Properties 131 9.5.2 Relations With Commutation and Elimination Matrices 132 9.5.3 Expressions With vec and vech Operators 132 9.5.4 Duplication Matrices and Kronecker Products 133 9.5.5 Duplication Matrices, Elimination Matrices and Kronecker 135 9.6 Elimination Matrices 136 9.6.1 General Properties 136 9.6.2 Relations With Commutation and Duplication Matrices 136 9.6.3 Expressions With vec and vech Operators 137 9.6.4 Elimination Matrices and Kronecker Products 137 9.6.5 Elimination Matrices, Duplication Matrices and Kronecker 139 9.7 Hermitian Matrices 140 9.7.1 General Results 140 9.7.2 Eigenvalues of Hermitian Matrices 142 9.7.3 Eigenvalue Inequalities 143 9.7.4 Decompositions of Hermitian Matrices 146 9.8 Idempotent Matrices 147 9.9 Nonnegative, Positive and Stochastic Matrices 148 9.9.1 Definitions 148 9.9.2 General Results 149 9.9.3 Results Related to the Spectral Radius 150 9.10 Orthogonal Matrices 151 9.10.1 General Results 152 9.10.2 Decompositions of Orthogonal Matrices 153 9.11 Partitioned Matrices 153 9.11.1 General Results 154 9.11.2 Determinants of Partitioned Matrices 155 9.11.3 Partitioned Inverses 156 9.11.4 Partitioned Generalized Inverses 157 9.11.5 Partitioned Matrices Related to Duplication Matrices 158 9.12 Positive Definite, Negative Definite and Semidefinite 159 9.12.1 General Properties 160 9.12.2 Eigenvalue Results 162 9.12.3 Decomposition Theorems for Definite Matrices 163 9.13 Symmetric Matrices 165 9.13.1 General Properties 165 9.13.2 Symmetry and Duplication Matrices 166 9.13.3 Eigenvalues of Symmetric Matrices 167 9.13.4 Eigenvalue Inequalities 168 9.13.5 Decompositions of Symmetric and Skew-Symmetric 172 9.14 Triangular Matrices 173 9.14.1 Properties of General Triangular Matrices 173 9.14.2 Triangularity, Elimination and Duplication Matrices 174 9.14.3 Properties of Strictly Triangular Matrices 176 9.15 Unitary Matrices 176 10.1 Notation 179 10.2 Gradients and Hessian Matrices of Real Valued 182 10.2.1 Gradients 182 10.2.2 Hessian Matrices 183 10.3 Derivatives of Real Valued Functions with Matrix 184 10.3.1 General and Miscellaneous Rules 184 10.3.2 Derivatives of the Trace 185 10.3.3 Derivatives of Determinants 189 10.4 Jacobian Matrices of 10.4.1 10.4.2 10.4.3 10.4.4 10.5 Product Rules 197 10.5.1 Matrix Products 197 10.5.2 Kronecker and Hadamard Products 200 10.5.3 Functions with Symmetric Matrix Arguments 201 10.5.4 Functions with Lower Triangular Matrix Arguments 203 10.5.5 Products of Matrix Valued Functions with Vector 204 10.6 Jacobian Matrices of Functions Involving Inverse 206 10.6.1 Matrix Products 206 10.6.2 Kronecker and Hadamard Products 207 10.6.3 Matrix Valued Functions with Vector Arguments 208 10.7 Chain Rules and Miscellaneous Jacobian Matrices 210 10.8 Jacobian Determinants 212 10.8.1 10.8.2 Non 10.9 Matrix Valued Functions of a Scalar Variable 216 11.1 Definitions and Notations 218 11.1.1 Definitions and Notation Related to Polynomials 218 11.1.2 Matrices Related to Polynomials 220 11.1.3 Polynomials and Power Series Related to Matrices 221 11.2 Results Relating Polynomials and Matrices 222 11.3 Polynomial Matrices 224 11.3.1 Definitions 224 11.3.2 Results for Polynomial Matrices 228