An Introduction to Harmonic Analysis
3rd Edition
Part of Cambridge Mathematical Library
- Author: Yitzhak Katznelson, Stanford University, California
- Date Published: May 2004
- availability: Available
- format: Paperback
- isbn: 9780521543590
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First published in 1968, An Introduction to Harmonic Analysis has firmly established itself as a classic text and a favorite for students and experts alike. Professor Katznelson starts the book with an exposition of classical Fourier series. The aim is to demonstrate the central ideas of harmonic analysis in a concrete setting, and to provide a stock of examples to foster a clear understanding of the theory. Once these ideas are established, the author goes on to show that the scope of harmonic analysis extends far beyond the setting of the circle group, and he opens the door to other contexts by considering Fourier transforms on the real line as well as a brief look at Fourier analysis on locally compact abelian groups. This new edition has been revised by the author, to include several new sections and a new appendix.
Read more- The book received the AMS Steele Prize for Mathematical Exposition
- Classic text, a favorite of students and experts alike
- Demonstrates the central ideas of harmonic analysis in a concrete setting, and provides a stock of examples to foster a clear understanding of the theory
Reviews & endorsements
'… the third, revised, edition … Katznelson managed to improve on a seemingly perfect book!' Nieuw Archif voor Wiskunde
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×Product details
- Edition: 3rd Edition
- Date Published: May 2004
- format: Paperback
- isbn: 9780521543590
- length: 336 pages
- dimensions: 229 x 155 x 21 mm
- weight: 0.449kg
- availability: Available
Table of Contents
1. Fourier series on T
2. The convergence of Fourier series
3. The conjugate function
4. Interpolation of linear operators
5. Lacunary series and quasi-analytic classes
6. Fourier transforms on the line
7. Fourier analysis on locally compact Abelian groups
8. Commutative Banach algebras
A. Vector-valued functions
B. Probabilistic methods.
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