Geometric Aspects of Functional Analysis

Israel Seminar (GAFA) 2014–2016

Nonfiction, Science & Nature, Mathematics, Functional Analysis, Geometry
Cover of the book Geometric Aspects of Functional Analysis by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319452821
Publisher: Springer International Publishing Publication: April 17, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319452821
Publisher: Springer International Publishing
Publication: April 17, 2017
Imprint: Springer
Language: English

As in the previous Seminar Notes, the current volume reflects general trends in the study of Geometric Aspects of Functional Analysis, understood in a broad sense. A classical theme in the Local Theory of Banach Spaces which is well represented in this volume is the identification of lower-dimensional structures in high-dimensional objects. More recent applications of high-dimensionality are manifested by contributions in Random Matrix Theory, Concentration of Measure and Empirical Processes. Naturally, the Gaussian measure plays a central role in many of these topics, and is also studied in this volume; in particular, the recent breakthrough proof of the Gaussian Correlation Conjecture is revisited. The interplay of the theory with Harmonic and Spectral Analysis is also well apparent in several contributions. The classical relation to both the primal and dual Brunn-Minkowski theories is also well represented, and related algebraic structures pertaining to valuations and valent functions are discussed. All contributions are original research papers and were subject to the usual refereeing standards.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

As in the previous Seminar Notes, the current volume reflects general trends in the study of Geometric Aspects of Functional Analysis, understood in a broad sense. A classical theme in the Local Theory of Banach Spaces which is well represented in this volume is the identification of lower-dimensional structures in high-dimensional objects. More recent applications of high-dimensionality are manifested by contributions in Random Matrix Theory, Concentration of Measure and Empirical Processes. Naturally, the Gaussian measure plays a central role in many of these topics, and is also studied in this volume; in particular, the recent breakthrough proof of the Gaussian Correlation Conjecture is revisited. The interplay of the theory with Harmonic and Spectral Analysis is also well apparent in several contributions. The classical relation to both the primal and dual Brunn-Minkowski theories is also well represented, and related algebraic structures pertaining to valuations and valent functions are discussed. All contributions are original research papers and were subject to the usual refereeing standards.

More books from Springer International Publishing

Cover of the book Percutaneous Treatment of Cardiovascular Diseases in Women by
Cover of the book Supply Chain Finance and Blockchain Technology by
Cover of the book Advanced Maintenance Modelling for Asset Management by
Cover of the book Handbook of Autism and Anxiety by
Cover of the book Nanotechnology in Oil and Gas Industries by
Cover of the book Quantum Entanglement of Complex Structures of Photons by
Cover of the book Corporate Social Responsibility and Diversity Management by
Cover of the book Automatic Methods for the Refinement of System Models by
Cover of the book The Science of Baseball by
Cover of the book The Keynesian Revolution and Our Empty Economy by
Cover of the book Autonomous Agents and Multiagent Systems by
Cover of the book Cyber-Archaeology and Grand Narratives by
Cover of the book Fanaticism, Racism, and Rage Online by
Cover of the book Capacitated Planned Maintenance by
Cover of the book Business Process Management by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy