Kolmogorov extension theorem

E320435

The Kolmogorov extension theorem is a fundamental result in probability theory that guarantees the existence of a stochastic process with given consistent finite-dimensional distributions.

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Predicate Object
instanceOf result in measure theory
theorem in probability theory
appliesTo collections of finite-dimensional distributions
product probability spaces
stochastic processes indexed by arbitrary index sets
assumes consistency under marginalization
each finite-dimensional distribution is a probability measure
measurability of coordinate projections
concerns cylinder sets
infinite product of measurable spaces
probability measures on path spaces
conclusion existence of a probability space and random variables with given joint laws
existence of a process whose finite-dimensional distributions match the given family
coreConcept extension of pre-measures to probability measures
finite-dimensional distributions determine a process under consistency
field measure theory
probability theory
stochastic processes
formalizes construction of laws of stochastic processes from finite-dimensional laws
construction of probability measures on function spaces
guarantees existence of a probability measure on an infinite product space
existence of a stochastic process with given finite-dimensional distributions
historicalPeriod 20th century mathematics
implies existence of a measure on the cylinder sigma-algebra
existence of a probability measure extending cylinder set measures
namedAfter Andrey Kolmogorov
linked to: Andrei Kolmogorov
relatedTo Carathéodory extension theorem
Daniell–Kolmogorov theorem
Kolmogorov consistency theorem
Kolmogorov continuity theorem
Kolmogorov existence theorem
projective limit of probability measures
requires Kolmogorov consistency conditions
consistency of finite-dimensional distributions
usedFor construction of Brownian motion
construction of Gaussian processes
construction of Markov processes
construction of random fields
construction of stationary processes
construction of stochastic processes
usedIn Bayesian nonparametrics
modern probability foundations
statistical mechanics models
theory of random functions
theory of random sequences

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Andrei Kolmogorov notableWork Kolmogorov extension theorem
Carathéodory’s extension theorem relatedTo Kolmogorov extension theorem
Carathéodory’s extension theorem relatedTo Hahn–Kolmogorov theorem
linked to: Kolmogorov extension theorem
Wiener measure constructedBy Kolmogorov extension theorem
Kolmogorov extension theorem requires Kolmogorov consistency conditions
linked to: Kolmogorov extension theorem
Kolmogorov extension theorem relatedTo Kolmogorov existence theorem
linked to: Kolmogorov extension theorem
Kolmogorov extension theorem relatedTo Kolmogorov consistency theorem
linked to: Kolmogorov extension theorem
Kolmogorov extension theorem relatedTo Daniell–Kolmogorov theorem
linked to: Kolmogorov extension theorem
Kolmogorov continuity theorem relatedTo Kolmogorov extension theorem