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Measure, Integral and Probability

Measure, Integral and Probability
Catalogue Information
Field name Details
Dewey Class 519.2
Title Measure, Integral and Probability ([EBook] /) / by Marek Capiński, Peter Ekkehard Kopp.
Author Capiński, Marek
Added Personal Name Kopp, Peter Ekkehard author.
Other name(s) SpringerLink (Online service)
Publication London : : Springer London : : Imprint: Springer, , 1999.
Physical Details XI, 227 p. 20 illus. : online resource.
Series Springer undergraduate mathematics series 1615-2085
ISBN 9781447136316
Summary Note The central concepts in this book are Lebesgue measure and the Lebesgue integral. Their role as standard fare in UK undergraduate mathematics courses is not wholly secure; yet they provide the principal model for the development of the abstract measure spaces which underpin modern probability theory, while the Lebesgue function spaces remain the main sour ce of examples on which to test the methods of functional analysis and its many applications, such as Fourier analysis and the theory of partial differential equations. It follows that not only budding analysts have need of a clear understanding of the construction and properties of measures and integrals, but also that those who wish to contribute seriously to the applications of analytical methods in a wide variety of areas of mathematics, physics, electronics, engineering and, most recently, finance, need to study the underlying theory with some care. We have found remarkably few texts in the current literature which aim explicitly to provide for these needs, at a level accessible to current under­ graduates. There are many good books on modern prob ability theory, and increasingly they recognize the need for a strong grounding in the tools we develop in this book, but all too often the treatment is either too advanced for an undergraduate audience or else somewhat perfunctory.:
Contents note 1. Motivation and preliminaries -- 2. Measure -- 3. Measurable functions -- 4. Integral -- 5. Spaces of integrable functions -- 6. Product measures -- 7. Limit theorems -- 8. Solutions to exercises -- 9. Appendix -- References.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.1007/978-1-4471-3631-6
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