Overview
- Explores relationship between Fourier Analysis, convex geometry, and related areas; in the past, study of this relationship has led to important mathematical advances
- Presents new results and applications to diverse fields such as geometry, number theory, and analysis
- Contributors are leading experts in their respective fields
- Will be of interest to both pure and applied mathematicians
Part of the book series: Applied and Numerical Harmonic Analysis (ANHA)
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Table of contents (11 chapters)
Keywords
About this book
Over the course of the last century, the systematic exploration of the relationship between Fourier analysis and other branches of mathematics has lead to important advances in geometry, number theory, and analysis, stimulated in part by Hurwitz’s proof of the isoperimetric inequality using Fourier series.
This unified, self-contained book presents both a broad overview of Fourier analysis and convexity, as well as an intricate look at applications in some specific settings; it will be useful to graduate students and researchers in harmonic analysis, convex geometry, functional analysis, number theory, computer science, and combinatorial analysis. A wide audience will benefit from the careful demonstration of how Fourier analysis is used to distill the essence of many mathematical problems in a natural and elegant way.
Editors and Affiliations
Bibliographic Information
Book Title: Fourier Analysis and Convexity
Editors: Luca Brandolini, Leonardo Colzani, Giancarlo Travaglini, Alex Iosevich
Series Title: Applied and Numerical Harmonic Analysis
DOI: https://doi.org/10.1007/978-0-8176-8172-2
Publisher: Birkhäuser Boston, MA
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2004
Hardcover ISBN: 978-0-8176-3263-2Published: 06 August 2004
Softcover ISBN: 978-1-4612-6474-3Published: 04 October 2012
eBook ISBN: 978-0-8176-8172-2Published: 27 April 2011
Series ISSN: 2296-5009
Series E-ISSN: 2296-5017
Edition Number: 1
Number of Pages: IX, 268
Topics: Fourier Analysis, Abstract Harmonic Analysis, Convex and Discrete Geometry, Number Theory, Functional Analysis