Real Analysis and Probability
Edition: 2nd 2002 (Revised)
List price: $69.99
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Description: This classic textbook offers a clear exposition of modern probability theory and of the interplay between the properties of metric spaces and probability measures. The first half of the book gives an exposition of real analysis: basic set theory, general topology, measure theory, integration, an introduction to functional analysis in Banach and Hilbert spaces, convex sets and functions and measure on topological spaces. The second half introduces probability based on measure theory, including laws of large numbers, ergodic theorems, the central limit theorem, conditional expectations and martingale's convergence. A chapter on stochastic processes introduces Brownian motion and the Brownian bridge. The new edition has been made even more self-contained than before; it now includes a foundation of the real number system and the Stone-Weierstrass theorem on uniform approximation in algebras of functions. Several other sections have been revised and improved, and the comprehensive historical notes have been further amplified. A number of new exercises have been added, together with hints for solution.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $69.99
Copyright year: 2002
Publisher: Cambridge University Press
Publication date: 10/14/2002
Size: 6.25" wide x 9.00" long x 1.00" tall
|Foundations: set theory|
|Lp spaces: introduction to functional analysis|
|Convex sets and duality of normed spaces|
|Measure, topology, and differentiation|
|Introduction to probability theory|
|Convergence of laws and central limit theorems|
|Conditional expectations and martingales|
|Convergence of laws on separable metric spaces|
|Measurability: Borel isomorphism and analytic sets|
|Axiomatic set theory|