Fr. 286.00

Analytic Hilbert Modules

English · Hardback

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Description

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The seminal 1989 work of Douglas and Paulsen on the theory of analytic Hilbert modules precipitated a number of major research efforts. This in turn led to some intriguing and valuable results, particularly in the areas of operator theory and functional analysis. With the field now beginning to blossom, the time has come to collect those results under one cover. Written by two of the most active and often-cited researchers in the field, Analytic Hilbert Modules reports on the progress made by the authors and others, including the characteristic space theory, rigidity, the equivalence problem, the Arveson modules, extension theory, and reproducing Hilbert spaces on n-dimensional complex space.

List of contents

1 Introduction2 Characteristic spaces and algebraic reduction 3 Rigidity for analytic Hilbert modules4 Equivalence of Hardy submodules 5 Reproducing function spaces on the complex n-space 6 The Arveson module 7 Extensions of Hilbert modules References Index

About the author










Chen, Xiaoman; Guo, Kunyu

Summary

Analytic Hilbert Modules reports on the progress made by the authors and others, including the characteristic space theory, rigidity, the equivalence problem, the Arveson modules, extension theory, and reproducing Hilbert spaces on n-dimensional complex space.

Product details

Authors Xiaoman Chen, Chen Xiaoman, Kunyu Guo, Guo Kunyu
Assisted by Haim Brezis (Editor of the series), Ronald G. Douglas (Editor of the series), Alan Jeffrey (Editor of the series)
Publisher Taylor and Francis
 
Languages English
Product format Hardback
Released 26.03.2003
 
EAN 9781584883999
ISBN 978-1-58488-399-9
No. of pages 210
Weight 560 g
Illustrations schwarz-weiss Illustrationen
Series Chapman & Hall/CRC Research Notes in Mathematics Series
Subjects Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous

MATHEMATICS / Linear & Nonlinear Programming, MATHEMATICS / Functional Analysis, Functional analysis & transforms, Functional analysis and transforms, Linear programming

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