Advances in Matrix Inequalities (eBook)

eBook Download: PDF
2021 | 1. Auflage
XII, 277 Seiten
Springer-Verlag
978-3-030-76047-2 (ISBN)

Lese- und Medienproben

Advances in Matrix Inequalities -  Mohammad Bagher Ghaemi,  Nahid Gharakhanlu,  Themistocles M. Rassias,  Reza Saadati
Systemvoraussetzungen
128,39 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

This self-contained monograph unifies theorems, applications and problem solving techniques of matrix inequalities. In addition to the frequent use of methods from Functional Analysis, Operator Theory, Global Analysis, Linear Algebra, Approximations Theory, Difference and Functional Equations and more, the reader will also appreciate techniques of classical analysis and algebraic arguments, as well as combinatorial methods.  Subjects such as operator Young inequalities, operator inequalities for positive linear maps, operator inequalities involving operator monotone functions, norm inequalities, inequalities for sector matrices are investigated thoroughly throughout this book which provides an account of a broad collection of classic and recent developments. Detailed proofs for all the main theorems and relevant technical lemmas are presented, therefore interested graduate and advanced undergraduate students will find the book particularly accessible. In addition to several areas of theoretical mathematics, Matrix Analysis is applicable to a broad spectrum of disciplines including operations research, mathematical physics, statistics, economics, and engineering disciplines. It is hoped that graduate students as well as researchers in mathematics, engineering, physics, economics and other interdisciplinary areas will find the combination of current and classical results and operator inequalities presented within this monograph particularly useful.




Mohammad Bagher Ghaemi is an associate professor of mathematics at the Iran University of Science and Technology, Tehran. His research interests include operator theory, nonlinear analysis, approximation theory, functional analysis, functional equations, inequalities and applications. Professor Ghaemi received his PhD in mathematics from Glasgow University, Scotland, in 2000; his PhD advisor was P.G. Spain. He has published more than 60 papers.

Nahid Gharakhanlu received her PhD in pure mathematics from the Iran University of Science and Technology, Tehran in 2017.  Her PhD advisor was Mohammad Bagher Ghaemi. Her research interests include matrix analysis, functional analysis, operator theory, linear algebra, inequalities and their applications.

Themistocles M. Rassias is professor of mathematics at the National Technical University of Athens. His research interests include nonlinear analysis, global analysis, approximation theory, functional analysis, functional equations, inequalities and their applications. Professor Rassias received his PhD in mathematics from the University of California, Berkeley in 1976; his thesis advisor was Stephen Smale and his academic advisor was Shiing-Shen Chern. In addition to his extensive list of journal publications, Professor Rassias has published as author or volume editor several books published with Springer. Th. M. Rassias has received several awards and is an active editorial board member of an array of journals in mathematical analysis and optimization. His publications have received a large number of citations, with h-index 46.

Reza Saadati is a member of the mathematics department of the Iran University of Science and Technology, Tehran. His research interests include nonlinear analysis and applications. Professor Saadati received his PhD in mathematics from Amirkabir University of Technology, in 2010; his PhD advisor was S. M. Vaezpour. He has published several books with Springer.

Erscheint lt. Verlag 11.7.2021
Reihe/Serie Springer Optimization and Its Applications
Zusatzinfo XII, 277 p. 1 illus.
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik
Schlagworte Linear analysis • matrix inequalities • non-linear analysis • operator arithmetic-geometric mean inequalities • Operator Inequalities • positive linear maps • Tsallis relative operator entropy • Young and Heinz inequalities
ISBN-10 3-030-76047-2 / 3030760472
ISBN-13 978-3-030-76047-2 / 9783030760472
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 3,7 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Ein Übungsbuch für Fachhochschulen

von Michael Knorrenschild

eBook Download (2023)
Carl Hanser Verlag GmbH & Co. KG
16,99