Lectures on Numerical Radius Inequalities (Hardcover, 1st ed. 2022)

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This book is a self-contained advanced monograph on inequalities involving the numerical radius of bounded linear operators acting on complex Hilbert spaces. The study of numerical range and numerical radius has a long and distinguished history starting from the Rayleigh quotients used in the 19th century to nowadays applications in quantum information theory and quantum computing. This monograph is intended for use by both researchers and graduate students of mathematics, physics, and engineering who have a basic background in functional analysis and operator theory. The book provides several challenging problems and detailed arguments for the majority of the results. Each chapter ends with some notes about historical views or further extensions of the topics. It contains a bibliography of about 180 items, so it can be used as a reference book including many classical and modern numerical radius inequalities.

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Product Description

This book is a self-contained advanced monograph on inequalities involving the numerical radius of bounded linear operators acting on complex Hilbert spaces. The study of numerical range and numerical radius has a long and distinguished history starting from the Rayleigh quotients used in the 19th century to nowadays applications in quantum information theory and quantum computing. This monograph is intended for use by both researchers and graduate students of mathematics, physics, and engineering who have a basic background in functional analysis and operator theory. The book provides several challenging problems and detailed arguments for the majority of the results. Each chapter ends with some notes about historical views or further extensions of the topics. It contains a bibliography of about 180 items, so it can be used as a reference book including many classical and modern numerical radius inequalities.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Infosys Science Foundation Series in Mathematical Sciences

Release date

November 2022

Availability

Expected to ship within 12 - 17 working days

First published

2022

Authors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

209

Edition

1st ed. 2022

ISBN-13

978-3-03-113669-6

Barcode

9783031136696

Categories

LSN

3-03-113669-1



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