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Probability for Analysts (Chapman & Hall/CRC Probability Series)
 
 
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Probability for Analysts (Chapman & Hall/CRC Probability Series) [Hardcover]

Karl R. Stromberg (Author)

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Book Description

0412041715 978-0412041716 April 14, 1994 1
This book will enable researchers and students of analysis to more easily understand research papers in which probabilistic methods are used to prove theorems of analysis, many of which have no other known proofs. The book assumes a course in measure and integration theory but requires little or no background in probability theory. It emplhasizes topics of interest to analysts, including random series, martingales and Brownian motion.

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Inside This Book (learn more)
First Sentence:
(1.1) Definition. For d N and p R with p > 0, let Lp(Rd) be the set of all Borel measurable functions f : Rd C such that f p := (Rd f(x) pdx) 1/p <. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
projective family, sure inequalities, real random variables, complex random variables, tight sequences, independent sequence, projective limit, convergence theorem, probability space, miscellaneous notes, outer measure, countable base, standard normal variable
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Lebesgue's Dominated Convergence Theorem, New York, Monotone Convergence Theorem, Fubini's Theorem, Gaussian Hilbert, Schwarz's Inequality, Cambridge Univ, Hopf's Extension Theorem, Tonelli's Theorem, Academic Press, Wadsworth International Group, Central Limit Theorem, Lebesgue's Differentiation Theorem, Classical Real Analysis, Stochastic Processes, Distributions of Random Biased Dyadic Expansions, Lecture Notes, Apply Case, Characterization of Normal Distributions, Directed Filtrations, Kolmogorov's Existence Theorem, Pointwise Convergence of Submartingales, Series Having Centered Terms, Some Random Series of Functions, The Paley-Zygmund Theorem
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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