Matrix Analysis

Graduate Texts in Mathematics #169

by Rajendra Bhatia

This book presents a substantial part of matrix analysis that is functional analytic in spirit. Topics covered include the theory of majorization, variational principles for eigenvalues, operator monotone and convex functions, and perturbation of matrix functions and matrix inequalities. The book offers several powerful methods and techniques of wide applicability, and it discusses connections with other areas of mathematics.

Genres: Mathematics

349 pages, Kindle Edition

First published November 15, 1996

Reviews

[Michael Nielsen · Rating 5 out of 5]

The best book about majorization, double stochasticity, and operator monotonicity you'll ever read! Or not. Your choice, but I tell you, if you don't read it you're missing out...