Matrix Analysis (Graduate Texts in Mathematics 169)

Bhatia, Rajendra

ISBN 10: 0387948465 / ISBN 13: 9780387948461

Published by Springer, New York, Berlin Etc., 1997

About this Item

Light shelfwear. ; Octavo; xii, 349 pages.

Seller Inventory # LCH47036

Bibliographic Details

• Title: Matrix Analysis (Graduate Texts in Mathematics 169)
• Publisher: Springer, New York, Berlin Etc.
• Publication Date: 1997
• Language: English
• ISBN 10: 0387948465
• ISBN 13: 9780387948461
• Binding: Original boards
• Edition: First Edition; First Impression.
• Condition: New
• Dust Jacket Condition: No Dust Jacket

About this title

Synopsis

A good part of matrix theory is functional analytic in spirit. This statement can be turned around. There are many problems in operator theory, where most of the complexities and subtleties are present in the finite-dimensional case. My purpose in writing this book is to present a systematic treatment of methods that are useful in the study of such problems. This book is intended for use as a text for upper division and gradu­ ate courses. Courses based on parts of the material have been given by me at the Indian Statistical Institute and at the University of Toronto (in collaboration with Chandler Davis). The book should also be useful as a reference for research workers in linear algebra, operator theory, mathe­ matical physics and numerical analysis. A possible subtitle of this book could be Matrix Inequalities. A reader who works through the book should expect to become proficient in the art of deriving such inequalities. Other authors have compared this art to that of cutting diamonds. One first has to acquire hard tools and then learn how to use them delicately. The reader is expected to be very thoroughly familiar with basic lin­ ear algebra. The standard texts Finite-Dimensional Vector Spaces by P.R.

From the Back Cover

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.