A01=Karl Stromberg
Author_Karl Stromberg
Banach Algebra
Borel Cantelli Lemma
Borel Measurable Functions
Bounded Borel Measurable Function
Category=PBKS
Category=PBT
central limit theorem
Complex Random Variables
Continuity Theorem
Convolution Power
Dense
Distribution Function
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Fourier Series
Fubini's Theorem
Fubini’s Theorem
Helly's Theorem
Independent Family
Independent Set
integration techniques
Inversion Theorem
Lebesgue's Dominated Convergence Theorem
Lebesgue’s Dominated Convergence Theorem
measure theory
Normalized Lebesgue Measure
probabilistic methods in mathematical analysis
Rademacher Distribution
random processes
Random Variables
Real Random Variable
Real Valued Random Variables
Riesz's Representation Theorem
Riesz’s Representation Theorem
stochastic analysis
Tight Sequences
Trigonometric Polynomials
weak convergence
Product details
- ISBN 9780412041716
- Weight: 790g
- Dimensions: 152 x 229mm
- Publication Date: 01 Apr 1994
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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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.
Stromberg, Karl
