Difference between revisions of "User:Boris Tsirelson/sandbox1"
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''Non-example.'' The set $[0,1]^\R$ of all functions $\R\to[0,1]$ with the product of Lebesgue measures is a nonstandard probability space. | ''Non-example.'' The set $[0,1]^\R$ of all functions $\R\to[0,1]$ with the product of Lebesgue measures is a nonstandard probability space. | ||
− | '''Definition | + | '''Definition 1a.''' A probability space $(\Om,\F,P)$ is ''standard'' if it is [[Measure space#complete|complete]] and there exist a subset $\Om_1\subset\Om$ and a σ-field (in other words, σ-algebra) $\B$ on $\Om_1$ such that $(\Om_1,\B)$ is a standard Borel space and $\forall A\in\F \;\; \exists B\in\B \; \big( B \subset A \land P(B)=P(A) \big)$. |
− | + | '''Definition 1b''' (equivalent). A probability space $(\Om,\F,P)$ is ''standard'' if it is complete, [[Measure space#perfect|perfect]] and countably separated mod 0 in the following sense: some subset of full measure, treated as a [[Measurable space#subspace|subspace]] of the measurable space $(\Om,\F)$, is a [[Measurable space#separated|countably separated]] measurable space. | |
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− | '''Definition | ||
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====On terminology==== | ====On terminology==== |
Revision as of 17:57, 19 February 2012
$\newcommand{\Om}{\Omega} \newcommand{\F}{\mathcal F} \newcommand{\B}{\mathcal B} \newcommand{\M}{\mathcal M} $ A probability space is called standard if it is a standard Borel space endowed with a probability measure, completed with null sets, and possibly augmented with another null set. (See Definition 1 below.) Every standard probability space is isomorphic (mod 0) to an interval with Lebesgue measure, a finite or countable set of atoms, or a combination of both. (See Theorem ? below.)
Example. The set of all continuous functions $[0,\infty)\to\R$ with the Wiener measure is a standard probability space.
Non-example. The set $[0,1]^\R$ of all functions $\R\to[0,1]$ with the product of Lebesgue measures is a nonstandard probability space.
Definition 1a. A probability space $(\Om,\F,P)$ is standard if it is complete and there exist a subset $\Om_1\subset\Om$ and a σ-field (in other words, σ-algebra) $\B$ on $\Om_1$ such that $(\Om_1,\B)$ is a standard Borel space and $\forall A\in\F \;\; \exists B\in\B \; \big( B \subset A \land P(B)=P(A) \big)$.
Definition 1b (equivalent). A probability space $(\Om,\F,P)$ is standard if it is complete, perfect and countably separated mod 0 in the following sense: some subset of full measure, treated as a subspace of the measurable space $(\Om,\F)$, is a countably separated measurable space.
On terminology
In [M, Sect. 6] universally measurable spaces are called metrically standard Borel spaces.
In [K, Sect. 21.D] universally measurable subsets of a standard (rather than arbitrary) measurable space are defined.
In [N, Sect. 1.1] an absolute measurable space is defined as a separable metrizable topological space such that every its homeomorphic image in every such space (with the Borel σ-algebra) is a universally measurable subset. The corresponding measurable space (with the Borel σ-algebra) is also called an absolute measurable space in [N, Sect. B.2].
References
[I] | Kiyosi Itô, "Introduction to probability theory", Cambridge (1984). MR0777504 Zbl 0545.60001 |
[C] | Donald L. Cohn, "Measure theory", Birkhäuser (1993). MR1454121 Zbl 0860.28001 |
[D] | Richard M. Dudley, "Real analysis and probability", Wadsworth&Brooks/Cole (1989). MR0982264 Zbl 0686.60001 |
[M] | George W. Mackey, "Borel structure in groups and their duals", Trans. Amer. Math. Soc. 85 (1957), 134–165. MR0089999 Zbl 0082.11201 |
[K] | Alexander S. Kechris, "Classical descriptive set theory", Springer-Verlag (1995). MR1321597 Zbl 0819.04002 |
[N] | Togo Nishiura, "Absolute measurable spaces", Cambridge (2008). MR2426721 Zbl 1151.54001 |
Boris Tsirelson/sandbox1. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Boris_Tsirelson/sandbox1&oldid=21168