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9780521194402

An Outline of Ergodic Theory

by
  • ISBN13:

    9780521194402

  • ISBN10:

    0521194407

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2010-04-26
  • Publisher: Cambridge University Press

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Summary

This informal introduction provides a fresh perspective on isomorphism theory, which is the branch of ergodic theory that explores the conditions under which two measure preserving systems are essentially equivalent. It contains a primer in basic measure theory, proofs of fundamental ergodic theorems, and material on entropy, martingales, Bernoulli processes, and various varieties of mixing. Original proofs of classic theorems - including the Shannon-McMillan-Breiman theorem, the Krieger finite generator theorem, and the Ornstein isomorphism theorem - are presented by degrees, together with helpful hints that encourage the reader to develop the proofs on their own. Hundreds of exercises and open problems are also included, making this an ideal text for graduate courses. Professionals needing a quick review, or seeking a different perspective on the subject, will also value this book.

Table of Contents

Prefacep. vii
Introductionp. 1
Measure-theoretic preliminariesp. 5
Basic definitionsp. 5
Carathéodory's theorem, isomorphism, Lebesgue spacesp. 7
Properties of Lebesgue spaces, factorsp. 11
Random variables, integration, (stationary) processesp. 16
Conditional expectationp. 23
Measure-preserving systems, stationary processesp. 26
Systems and homomorphismsp. 26
Constructing measure-preserving transformationsp. 27
Types of processes; ergodic, independent and (P, T)p. 30
Rohlin tower theoremp. 32
Countable generator theoremp. 37
Birkhoff ergodic theorem and the strong lawp. 39
Measure from a monkey sequencep. 43
Ergodic decompositionp. 45
Ergodic theory on L2p. 48
Conditional expectation of a measurep. 50
Subsequential limits, extended monkey methodp. 52
Martingales and couplingp. 55
Martingalesp. 55
Coupling; the basicsp. 59
Applications of couplingp. 62
The dbar and variation distancesp. 67
Preparation for the Shannon-Macmillan-Breiman theoremp. 69
Entropyp. 72
The 3-shift is not a factor of the 2-shiftp. 72
The Shannon-McMillan-Breiman theoremp. 74
Entropy of a stationary processp. 78
An abstraction: partitions of 1p. 79
Measurable partitions, entropy of measure-preserving systemsp. 82
Krieger finite generator theoremp. 85
The induced transformation and fbarp. 92
Bernoulli transformationsp. 96
The cast of charactersp. 96
FB ⊂ ICp. 99
IC ⊂ EXp. 102
FD ⊂ ICp. 112
EX ⊂ VWBp. 115
EX ⊂ FDp. 121
VWB ⊂ ICp. 122
Ornstein isomorphism theoremp. 124
Copying in distributionp. 124
Codingp. 128
Capturing entropy: preparationp. 129
Tweaking a copy to get a better copyp. 135
Sinai's theoremp. 139
Ornstein isomorphism theoremp. 143
Varieties of mixingp. 146
The varieties of mixingp. 146
Ergodicity vs. weak mixingp. 147
Weak mixing vs. mild mixingp. 150
Mild mixing vs. strong mixingp. 153
Strong mixing vs. Kolmogorovp. 155
Kolmogorov vs. Bernoullip. 162
Appendixp. 167
Referencesp. 170
Indexp. 173
Table of Contents provided by Ingram. All Rights Reserved.

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