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I. SURVEY OF MATRIX THEORY 1. INTRODUCTORY CONCEPTS Matrices and vectors. Matrix operations. Inverse. Matrix and vector operations. Examples. Transpose. Direct sum and block multiplication. Examples. Kronecker product. Example. 2. NUMBERS ASSOCIATED WITH MATRICES Notation. Submatrices. Permutations. Determinants. The quadratic relations among subdeterminants. Examples. Compound matrices. Symmetric functions; trace. Permanents. Example. Properties of permanents. Induced matrices. Characteristic polynomial. Examples. Characteristic roots. Examples. Rank. Linear combinations. Example. Linear dependence; dimension. Example. 3. LINEAR EQUATIONS AND CANONICAL FORMS Introduction and notation. Elementary operations. Example. Elementary matrices. Example. Hermite normal form. Example. Use of the Hermite normal form in solving Ax = b. Example. Elementary column operations and matrices. Examples. Characteristic vectors. Examples. Conventions for polynomial and integral matrices. Determinantal divisors. Examples. Equivalence. Example. Invariant factors. Elementary divisors. Examples. Smith normal form. Example. Similarity. Examples. Elementary divisors and similarity. Example. Minimal polynomial. Companion matrix. Examples. Irreducibility. Similarity to a diagonal matrix. Examples. 4. "SPECIAL CLASSES OF MATRICES, COMMUTATIVITY" Bilinear functional. Examples. Inner product. Example. Orthogonality. Example. Normal matrices. Examples. Circulant. Unitary similarity. Example. Positive definite matrices. Example. Functions of normal matrices. Examples. Exponential of a matrix. Functions of an arbitrary matrix. Example. Representation of a matrix as a function of other matrices. Examples. Simultaneous reduction of commuting matrices. Commutativity. Example. Quasi-commutativity. Example. Property L. Examples. Miscellaneous results on commutativity. 5. CONGRUENCE Definitions. Triple diagonal form. Congruence and elementary operations. Example. Relationship to quadratic forms. Example. Congruence properties. Hermitian congruence. Example. Triangular product representation. Example. Conjunctive reduction of skew-hermitian matrices. Conjunctive reduction of two hermitian matrices. II. CONVEXITY AND MATRICES 1. CONVEX SETS Definitions. Examples. Intersection property. Examples. Convex polyhedrons. Example. Birkhoff theorem. Simplex. Examples. Dimension. Example. Linear functionals. Example. 2. CONVEX FUNCTIONS Definitions. Examples. Properties of convex functions. Examples. 3. CLASSICAL INEQUALITIES Power means. Symmetric functions. Hölder inequality. Minkowski inequality. Other inequalities. Example. 4. CONVEX FUNCTIONS AND MATRIX INEQUALITIES Convex functions of matrices. Inequalities of H. Weyl. Kantorovich inequality. More inequalities. Hadamard product. 5. NONNEGATIVE MATRICES Introduction. Indecomposable matrices. Examples. Fully indecomposable matrices. Perron-Frobenius theorem. Example. Nonnegative matrices. Examples. Primitive matrices. Example. Doubly stochastic matrices. Examples. Stochastic matrices. III. LOCALIZATION OF CHARACTERISTIC ROOTS 1. BOUNDS FOR CHARACTERISTIC ROOTS Introduction. Bendixson's theorems. Hirsch's theorems. Schur's inequality (1909). Browne's theorem. Perron's theorem. Schneider's theorem. 2. REGIONS CONTAINING CHARACTERISTIC ROOTS OF A GENERAL MATRIX. Lévy-Desplanques theorem. Gersgorin discs. &

Book details

Book category Books in English Mathematics & science Mathematics Algebra

• Full title: Survey of Matrix Theory and Matrix Inequalities
• Author: Marvin Marcus, Henryk Minc
• Language: English
• Binding: Paperback
• Number of pages: 180
• EAN: 9780486671024
• ISBN: 048667102X
• ID: 02569679
• Publisher: Dover Publications Inc.
• Weight: 222 g
• Dimensions: 214 × 139 × 10 mm
• Date of publishing: 31. August 1992

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