When Does Measurability Hold in Product Space?

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wayneckm
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Hello all,


I have some difficulty in determining the measurability in product space. Suppose the product space is [itex]T \times \Omega[/itex] equipped with [itex]\mathcal{T} \otimes \mathcal{F}[/itex] where [itex]( T , \mathcal{T} , \mu ), ( \Omega , \mathcal{F} , P)[/itex] are themselves measurable spaces.

Now, if there exists a set [itex]T_0[/itex] in [itex]T[/itex] with [itex]\mu(T_{0}^{c}) =0[/itex] and, for each fixed [itex]t \in T_0[/itex], a property holds almost everywhere in [itex]\Omega[/itex], so this means there exists a [itex]\Omega_{t}[/itex] such that [itex]P(\Omega_{t}^{c}) = 0[/itex] and that property holds on this set.

How can we conclude that the property will holds almost everywhere in the product space [itex]T \times \Omega[/itex]? Are they saying the set [itex]T_0 \times\Omega_{t}[/itex] is measurable?

Or in other words, when does the measurability hold if the second set [itex]\Omega_{t}[/itex] is a function of the first set [itex]T_0[/itex]?

Thanks very much.


Wayne
 
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The set [itex]T_0\times \Omega_t[/itex] will always be measurable. By definition, since the product of measurable sets is always measurable.

But this is not what you're asking. You need to show that there is a set A of [itex]T\times \Omega[/itex] such that [itex](\mu\times P)(A^c)=0[/itex] and such that "the property" holds on A.

But what property are we talking about?? Surely this isn't true for every property...
 
Thanks for the reply.

First of all, I want to know if the second component [itex]\Omega_t[/itex] depends on the first component [itex]T_0[/itex], how can we show/prove its measurability?

Secondly, indeed I read this from a book, and the aurthor simply stated that "as there is [itex]T_0[/itex] such that for each fixed [itex]t\in T_0[/itex], the property of [itex]a(t,\omega) = b(t,\omega)"[/itex] holds almost surely, then this also holds almost everywhere on [itex]T \times \Omega[/itex], how can he jump to this conclusion?

Thanks very much.Wayne
 
What book are you reading?

wayneckm said:
Thanks for the reply.
First of all, I want to know if the second component [itex]\Omega_t[/itex] depends on the first component [itex]T_0[/itex], how can we show/prove its measurability?

Well, for fixed t, the set [itex]T_0\times \Omega_t[/itex] is measurable by the definition of the product sigma algebra. There's nothing much else to prove.

Secondly, indeed I read this from a book, and the aurthor simply stated that "as there is [itex]T_0[/itex] such that for each fixed [itex]t\in T_0[/itex], the property of [itex]a(t,\omega) = b(t,\omega)"[/itex] holds almost surely, then this also holds almost everywhere on [itex]T \times \Omega[/itex], how can he jump to this conclusion?

Recall that a=b if for each measurable set A holds that

[tex]\iint_A{(a-b)dP d\mu}=0[/tex]

Now, by Fubini's theorem, this amounts to

[tex]\int_T \int_\Omega I_A (a-b)dP d\mu = \int_{T_0} \int_\Omega (a(t,\omega)-b(t,\omega))dP d\mu[/tex]

Since for each fixed t, we have that [itex]a(t,\omega)=b(t,\omega)[/itex]. It follows that the integral is 0. Thus a=b almost everywhere.
 
Thanks so much for the explanation!

It is the book by Doob on stochastic process, it tried to regard a stochastic process as a function of two variables.

So it is true that the dependence of second component on the first one does not affect the condition of measurability in a product space as long as for each fixed point, the second component is measurable? or in other words, the collection of [itex]( t , f(t,\omega) )[/itex] is a measurable set iff, for each fixed [itex]t[/itex], [itex]f(t,\omega)[/itex] is measurable in [itex]\Omega[/itex]?

Thanks!Wayne