Springer, 1997 - 347 Seiten
The aim of this book is to present a substantial part of matrix analysis that is functional analytic in spirit. Much of this will be of interest to graduate students and research workers in operator theory, operator algebras, mathematical physics, and numerical analysis. The book can be used as a basic text for graduate courses on advanced linear algebra and matrix analysis. It can also be used as supplementary text for courses in operator theory and numerical analysis. Among topics covered are the theory of majorization, variational principles of eigenvalues, operator monotone and convex functions, perturbation of matrix functions, and matrix inequalities. Much of this is presented for the first time in a unified way in a textbook. The reader will learn several powerful methods and techniques of wide applicability, and see connections with other areas of mathematics. A large selection of matrix inequalities will make this book a valuable reference for students and researchers who are working in numerical analysis, mathematical physics and operator theory.
Was andere dazu sagen - Rezension schreiben
Es wurden keine Rezensionen gefunden.
Analysis arctan argument Bhatia called Chapter commutes complex numbers concave continuous convex function coordinates Corollary defined denote derivative diagonal entries diagonal matrix differentiable disk doubly stochastic matrix eigenvalues eigenvectors equivalent example Exercise exists finite function f(t generalisation given GL(n Hence Hermitian matrices Hermitian operator Hilbert space inner product interval invertible isotone Lemma Let A,B Let f Lidskii's Linear Algebra Linear Algebra Appl linear operator majorisation Math monotone function n x n nonnegative normal matrices notation Note obtained operator convex operator monotone operator monotone function operator norm orthogonal orthonormal basis permutation permutation matrices perturbation bounds polar decomposition polynomial positive matrices positive operators proof of Theorem Proposition proves the theorem Q-norm representation roots Section Show singular values skew-Hermitian subset subspaces symmetric gauge function Theory unitarily invariant norm unitary matrix upper triangular vector space Weyl's wui norm