Kakutani’s random ergodic theorem

E170224

Kakutani’s random ergodic theorem is a fundamental result in ergodic theory that extends classical ergodic theorems to sequences of randomly chosen measure-preserving transformations.

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Predicate Object
instanceOf mathematical theorem
result in ergodic theory
appliesTo Markovian or i.i.d. random products of transformations
random dynamical systems
assumes independent identically distributed random transformations in many formulations
integrable observable function
probability space with measure-preserving transformations
author Shizuo Kakutani
concerns measure-preserving dynamical systems
random sequences of measure-preserving transformations
extends classical ergodic theorems to random compositions
ergodic theorems to sequences of randomly chosen transformations
field ergodic theory
measure theory
probability theory
generalizes ergodic theorem
surface form: Birkhoff’s pointwise ergodic theorem

ergodic theorem
surface form: von Neumann’s mean ergodic theorem
guarantees existence of almost sure limits of random ergodic averages under suitable conditions
implies pointwise convergence of random time averages for almost every point
influenced development of stochastic ergodic theory
later work on random dynamical systems
namedAfter Shizuo Kakutani
publishedIn Annals of Mathematics
relatedTo random walks on groups
stationary processes
subadditive ergodic theorems
states almost sure convergence of random ergodic averages
topic almost sure behavior of random orbits
convergence of random compositions of transformations
uses martingale convergence ideas in some proofs
tools from measure theory
tools from probability theory
yearProved 1948

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Shizuo Kakutani hasTheoremNamedAfter Kakutani’s random ergodic theorem