E-Book, Englisch, 624 Seiten, E-Book
Vestrup The Theory of Measures and Integration
1. Auflage 2009
ISBN: 978-0-470-31795-2
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: 0 - No protection
E-Book, Englisch, 624 Seiten, E-Book
Reihe: Wiley Series in Probability and Statistics
ISBN: 978-0-470-31795-2
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: 0 - No protection
An accessible, clearly organized survey of the basic topics ofmeasure theory for students and researchers in mathematics,statistics, and physics
In order to fully understand and appreciate advanced probability,analysis, and advanced mathematical statistics, a rudimentaryknowledge of measure theory and like subjects must first beobtained. The Theory of Measures and Integration illuminates thefundamental ideas of the subject-fascinating in their own right-forboth students and researchers, providing a useful theoreticalbackground as well as a solid foundation for further inquiry.
Eric Vestrup's patient and measured text presents the major resultsof classical measure and integration theory in a clear and rigorousfashion. Besides offering the mainstream fare, the author alsooffers detailed discussions of extensions, the structure of Boreland Lebesgue sets, set-theoretic considerations, the Rieszrepresentation theorem, and the Hardy-Littlewood theorem, amongother topics, employing a clear presentation style that is bothevenly paced and user-friendly. Chapters include:
* Measurable Functions
* The Lp Spaces
* The Radon-Nikodym Theorem
* Products of Two Measure Spaces
* Arbitrary Products of Measure Spaces
Sections conclude with exercises that range in difficulty betweeneasy "finger exercises"and substantial and independent points ofinterest. These more difficult exercises are accompanied bydetailed hints and outlines. They demonstrate optional side pathsin the subject as well as alternative ways of presenting themainstream topics.
In writing his proofs and notation, Vestrup targets the person whowants all of the details shown up front. Ideal for graduatestudents in mathematics, statistics, and physics, as well as strongundergraduates in these disciplines and practicing researchers, TheTheory of Measures and Integration proves both an able primary textfor a real analysis sequence with a focus on measure theory and ahelpful background text for advanced courses in probability andstatistics.
Autoren/Hrsg.
Weitere Infos & Material
Preface.
Acknowledgments.
1. Set Systems.
2. Measures.
3. Extensions of Measures.
4. Lebesgue Measure.
5. Measurable Functions.
6. The Lebesgue Integral.
7. Integrals Relative to Lebesgue Measure.
8. The L¯p Spaces.
9. The Radon-Nikodym Theorem.
10. Products of Two Measure Spaces.
11. Arbitrary Products of Measure Spaces.
References.
Index.




