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Let $X$ be a standard Borel space: that is, a topological space equivalent to a Borel subset of $\Bbb R$. It is known that for any probability measure $p$ on $X$ and any universally measurable set $A\subseteq X$ there exists a Borel set $B\subseteq X$ such that $p(A\Delta B) = 0$. Moreover, if $f:X\to\Bbb R$ is universally measurable, there exists a Borel-measurable $f'$ such that $f=f'$ $p$-a.e.

I wonder, whether the following result holds true:

If $Y$ is also a Borel space and $g:X\to Y$ is universally measurable, there exists a Borel map $g':X\to Y$ such that $g = g'$ $p$-a.e.

A possible proof that I have in my mind is the following: the countable case is trivial, so assume that $Y$ is uncountable, then there exists a Borel isomorphism $\phi:Y\to\Bbb R$. As a result, we can say that $$ g = \phi^{-1}\circ (\phi\circ g) $$ where $\phi\circ g:X\to\Bbb R$ is clearly universally measurable. Hence, there exists a Borel function $f':X\to\Bbb R$ such that $\phi\circ g = f'$ $p$-a.e. If we define $g':=\phi^{-1}\circ f'$, we obtain that $g':X\to Y$ is a Borel map and that $g=g'$ $p$-a.e.

Is the proof correct?

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The proof is correct, but you might write standard Borel space instead of just Borel space. The latter is Mackey's term for a measurable space. –  Michael Greinecker Jul 11 '13 at 13:07
    
@MichaelGreinecker: thanks, I just followed the terminology of the Bertsekas and Shreve's book. Have you seen such a statement as in OP somewhere? I haven't find it in BS. –  Ilya Jul 11 '13 at 13:13
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Lemma 1.2 in Crauel, Random Probability Measures on Polish Spaces, is slightly stronger. It says that if a function from a probbility space to a separable metric space is measurable with respect to the completion, it equal some measurable function almost surely. –  Michael Greinecker Jul 11 '13 at 13:22
    
@MichaelGreinecker: nice, would you post this as an answer? –  Ilya Jul 11 '13 at 13:24

1 Answer 1

up vote 2 down vote accepted

The proof is correct. The following result of a stronger assertion is taken from Hans Crauel's book Random Probability Measures on Polish Spaces, where it is Lemma 1.2.:

Proposition: Let $(\Omega,\Sigma,\mu)$ be a probability space, $Y$ a separable metric space and $f_0:\Omega\to Y$ be measurable with respect to the $\mu$-completion of $\Sigma$. Then there is a measurable function $f:\Omega\to Y$ such that the set $\{\omega:f_0(\omega)\neq f(\omega)\}$ has $\mu$-outer measure zero.

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