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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Statements (45)

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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Referenced by (9)

Full triples — surface form annotated when it differs from this entity's canonical label.

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 ⓘ