Introduction to Matrix Analysis and Applications

Fumio Hiai and Denes Petz

ISBN 10: 9380250606 / ISBN 13: 9789380250601

Published by Hindustan Book Agency, 2014

About this Item

Contents: 1. Fundamentals of Operators and Matrices. 2. Mappings and Algebras. 3. Functional Calculus and Derivation. 4. Matrix Monotone Functions and Convexity. 5. Matrix Means and Inequalities. 6. Majorization and Singular Values. 7. Some Applications. Bibliography. Index. Matrices can be studied in different ways. They are a linear algebraic structure and have a topological/analytical aspect (for example, the normed space of matrices) and they also carry an order structure that is induced by positive semidefinite matrices. The interplay of these closely related structures is an essential feature of matrix analysis. This book explains these aspects of matrix analysis from a functional analysis point of view. After an introduction to matrices and functional analysis, it covers more advanced topics such as matrix monotone functions, matrix means, majorization and entropies. Several applications to quantum information are also included. Introduction to Matrix Analysis and Applications is appropriate for an advanced graduate course on matrix analysis, particularly aimed at studying quantum information. It can also be used as a reference for researchers in quantum information, statistics, engineering and economics. (jacket).

Seller Inventory # 117753

Bibliographic Details

• Title: Introduction to Matrix Analysis and Applications
• Publisher: Hindustan Book Agency
• Publication Date: 2014
• Language: English
• ISBN 10: 9380250606
• ISBN 13: 9789380250601
• Binding: Hardcover
• Edition: 1st Edition
• Condition: New

About this title

Synopsis

Matrices can be studied in different ways. They are a linear algebraic structure and have a topological/analytical aspect (for example, the normed space of matrices) and they also carry an order structure that is induced by positive semidefinite matrices. The interplay of these closely related structures is an essential feature of matrix analysis.

From the Back Cover

Matrices can be studied in different ways. They are a linear algebraic structure and have a topological/analytical aspect (for example, the normed space of matrices) and they also carry an order structure that is induced by positive semidefinite matrices. The interplay of these closely related structures is an essential feature of matrix analysis.

This book explains these aspects of matrix analysis from a functional analysis point of view. After an introduction to matrices and functional analysis, it covers more advanced topics such as matrix monotone functions, matrix means, majorization and entropies. Several applications to quantum information are also included.

Introduction to Matrix Analysis and Applications is appropriate for an advanced graduate course on matrix analysis, particularly aimed at studying quantum information. It can also be used as a reference for researchers in quantum information, statistics, engineering and economics.