Overview
- Presents papers that establish a connection between three related areas in Operator Theory
- Establishes recent research results of some of the most well reputed researchers in the area
- Includes both survey and research papers
Part of the book series: Operator Theory: Advances and Applications (OT, volume 267)
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Table of contents (17 chapters)
Keywords
About this book
This book consists of invited survey articles and research papers in the scientific areas of the “International Workshop on Operator Algebras, Operator Theory and Applications,” which was held in Lisbon in July 2016. Reflecting recent developments in the field of algebras of operators, operator theory and matrix theory, it particularly focuses on groupoid algebras and Fredholm conditions, algebras of approximation sequences, C* algebras of convolution type operators, index theorems, spectrum and numerical range of operators, extreme supercharacters of infinite groups, quantum dynamics and operator algebras, and inverse eigenvalue problems.
Establishing bridges between the three related areas of operator algebras, operator theory, and matrix theory, the book is aimed at researchers and graduate students who use results from these areas.
Editors and Affiliations
Bibliographic Information
Book Title: Operator Theory, Operator Algebras, and Matrix Theory
Editors: Carlos André, M. Amélia Bastos, Alexei Yu. Karlovich, Bernd Silbermann, Ion Zaballa
Series Title: Operator Theory: Advances and Applications
DOI: https://doi.org/10.1007/978-3-319-72449-2
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-72448-5Published: 30 August 2018
Softcover ISBN: 978-3-030-10202-9Published: 12 January 2019
eBook ISBN: 978-3-319-72449-2Published: 22 August 2018
Series ISSN: 0255-0156
Series E-ISSN: 2296-4878
Edition Number: 1
Number of Pages: VIII, 372
Topics: Operator Theory, Linear and Multilinear Algebras, Matrix Theory, Functional Analysis