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Groupoid Metrization Theory : With Applications to Analysis on Quasi-Metric Spaces and Functional Analysis / by Dorina Mitrea, Irina Mitrea, Marius Mitrea, Sylvie Monniaux
(Applied and Numerical Harmonic Analysis. ISSN:22965017)

1st ed. 2013.
出版者 (Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser)
出版年 2013
本文言語 英語
大きさ XII, 479 p. 1 illus : online resource
著者標目 *Mitrea, Dorina author
Mitrea, Irina author
Mitrea, Marius author
Monniaux, Sylvie author
SpringerLink (Online service)
件 名 LCSH:Harmonic analysis
LCSH:Functional analysis
LCSH:Topology
LCSH:Mathematical analysis
LCSH:Measure theory
LCSH:Algebraic geometry
FREE:Abstract Harmonic Analysis
FREE:Functional Analysis
FREE:Topology
FREE:Analysis
FREE:Measure and Integration
FREE:Algebraic Geometry
一般注記 Introduction -- Semigroupoids and Groupoids -- Quantitative Metrization Theory -- Applications to Analysis on Quasi-Metric Spaces -- Non-Locally Convex Functional Analysis -- Functional Analysis on Quasi-Pseudonormed Groups -- References -- Symbol Index -- Subject Index -- Author Index
The topics in this research monograph are at the interface of several areas of mathematics such as harmonic analysis, functional analysis, analysis on spaces of homogeneous type, topology, and quasi-metric geometry. The presentation is self-contained with complete, detailed proofs, and a large number of examples and counterexamples are provided. Unique features of Metrization Theory for Groupoids: With Applications to Analysis on Quasi-Metric Spaces and Functional Analysis include: * treatment of metrization from a wide, interdisciplinary perspective, with accompanying applications ranging across diverse fields; * coverage of topics applicable to a variety of scientific areas within pure mathematics; * useful techniques and extensive reference material; * includes sharp results in the field of metrization. Professional mathematicians with a wide spectrum of mathematical interests will find this book to be a useful resource and complete self-study guide. At the same time, the monograph is accessible and will be of use to advanced graduate students and to scientifically trained readers with an interest in the interplay among topology and metric properties and/or functional analysis and metric properties
HTTP:URL=https://doi.org/10.1007/978-0-8176-8397-9
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Springer eBooks 9780817683979
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EB00238708

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データ種別 電子ブック
分 類 LCC:QA403-403.3
DC23:515,785
書誌ID 4000119494
ISBN 9780817683979

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