Hardy spaces / Nikolaï Nikolski.

The theory of Hardy spaces is a cornerstone of modern analysis. It combines techniques from functional analysis, the theory of analytic functions and Lesbesgue integration to create a powerful tool for many applications, pure and applied, from signal processing and Fourier analysis to maximum modulu...

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Bibliographic Details
Online Access: Full Text (via Cambridge)
Main Author: Nikolʹskiĭ, N. K. (Nikolaĭ Kapitonovich) (Author)
Other title:Élements d'analyse avancée. 1, Espaces de Hardy. English
Format: Electronic eBook
Language:No linguistic content
English
French
Published: Cambridge : Cambridge University Press, 2019.
Series:Cambridge studies in advanced mathematics ; 179.
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Summary:The theory of Hardy spaces is a cornerstone of modern analysis. It combines techniques from functional analysis, the theory of analytic functions and Lesbesgue integration to create a powerful tool for many applications, pure and applied, from signal processing and Fourier analysis to maximum modulus principles and the Riemann zeta function. This book, aimed at beginning graduate students, introduces and develops the classical results on Hardy spaces and applies them to fundamental concrete problems in analysis. The results are illustrated with numerous solved exercises that also introduce subsidiary topics and recent developments. The reader's understanding of the current state of the field, as well as its history, are further aided by engaging accounts of important contributors and by the surveys of recent advances (with commented reference lists) that end each chapter. Such broad coverage makes this book the ideal source on Hardy spaces.
Item Description:Originally published in French: El̲ements d'analyse avancee̲ : 1, Espaces de Hardy (Paris : Editions Belin, 2012).
First English translation.
Physical Description:1 online resource (xviii, 277 pages)
ISBN:9781316882108
1316882101
1107184541
9781107184541
DOI:10.1017/9781316882108
Source of Description, Etc. Note:Source of description: Vendor-supplied metadata.