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Matrix spaces and schur multipliers: matriceal harmonic analysis

By: Persson, Lars-ErikContributor(s): Popa, NicolaeMaterial type: TextTextPublication details: Singapore: World Scientific Publishing, 2023 Description: xiv, 192p. PbkISBN: 9781944660864Subject(s): MATRICES | ALGEBRIC SPACES | SCHUR MULTIPLIERDDC classification: 512.643 Summary: This book gives a unified approach to the theory concerning a new matrix version of classical harmonic analysis. Most results in the book have their analogues as classical or newer results in harmonic analysis. It can be used as a source for further research in many areas related to infinite matrices. In particular, it could be a perfect starting point for students looking for new directions to write their PhD thesis as well as for experienced researchers in analysis looking for new problems with great potential to be very useful both in pure and applied mathematics where classical analysis has been used, for example, in signal processing and image analysis.
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Item type Current library Call number Status Date due Barcode
NBHM Books NBHM Books SMS Library
512.643 PER-M (Browse shelf(Opens below)) Available N362

Contents:
Introduction
Integral Operators in Infinite Matrix Theory
Matrix Versions of Spaces of Periodical Functions
Matrix Versions of Hardy Spaces
The Matrix Versions of BMOA
Matrix Versions of Bergman Spaces
A Matrix Version of Bloch Spaces
Schur Multipliers on Analytic Functions

This book gives a unified approach to the theory concerning a new matrix version of classical harmonic analysis. Most results in the book have their analogues as classical or newer results in harmonic analysis. It can be used as a source for further research in many areas related to infinite matrices. In particular, it could be a perfect starting point for students looking for new directions to write their PhD thesis as well as for experienced researchers in analysis looking for new problems with great potential to be very useful both in pure and applied mathematics where classical analysis has been used, for example, in signal processing and image analysis.

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