Integration and Probability
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Author
Publication
2012 - Springer London, Limited
Language
English
Word Count
88,000 words, Guess
Page Count
352 pages
Identifiers
- ISBN-139781461242024
- ISBN-101461242029
- Better World Books9781461242024
- Open LibraryOL37233968M
Classifications
- LCCQA273.A1-274.9
Description
This book is designed to be an introduction to analysis with the proper mix of abstract theories and concrete problems. It starts with general measure theory, treats Borel and Radon measures (with particular attention paid to Lebesgue measure) and introduces the reader to Fourier analysis in Euclidean spaces with a treatment of Sobolev spaces, distributions, and the Fourier analysis of such. It continues with a Hilbertian treatment of the basic laws of probability including Doob's martingale convergence theorem and finishes with Malliavin's "stochastic calculus of variations" developed in the context of Gaussian measure spaces. This invaluable contribution to the existing literature gives the reader a taste of the fact that analysis is not a collection of independent theories but can be treated as a whole.
Subjects
Other Editions
- Integration and Probability
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