When Does Measurability Hold in Product Space?

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Discussion Overview

The discussion revolves around the conditions for measurability in product spaces, specifically in the context of measurable spaces and stochastic processes. Participants explore the implications of having a set in one component that influences the measurability of another component within the product space.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Wayne questions how to conclude that a property holds almost everywhere in the product space T × Ω given that it holds almost everywhere in Ω for each fixed t in a set T₀ with μ(T₀ᶜ) = 0.
  • One participant asserts that the set T₀ × Ωₜ is always measurable, as the product of measurable sets is measurable, but questions the generality of the property in question.
  • Wayne seeks clarification on proving the measurability of Ωₜ when it depends on T₀.
  • Another participant explains that for fixed t, T₀ × Ωₜ is measurable by the definition of the product σ-algebra, suggesting that this does not require further proof.
  • Wayne references a book by Doob, which states that if a property holds almost surely for each fixed t in T₀, it also holds almost everywhere in T × Ω, and seeks clarification on this conclusion.
  • A participant invokes Fubini's theorem to argue that if a(t, ω) = b(t, ω) for each fixed t, then the integral condition implies that a = b almost everywhere.
  • Wayne expresses gratitude for the explanation and inquires whether the dependence of the second component on the first affects measurability, suggesting that the collection (t, f(t, ω)) is measurable if f(t, ω) is measurable for each fixed t.

Areas of Agreement / Disagreement

Participants express varying degrees of understanding regarding the implications of measurability in product spaces, with some agreeing on the measurability of certain sets while others question the generality of the properties discussed. The discussion remains unresolved regarding the broader implications of these conditions.

Contextual Notes

Participants highlight the dependence of measurability on specific conditions and the need for clarity regarding the properties being discussed. There is an acknowledgment of the complexity involved in establishing measurability when components are interdependent.

wayneckm
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Hello all,


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

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

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

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

Thanks very much.


Wayne
 
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The set T_0\times \Omega_t 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 T\times \Omega such that (\mu\times P)(A^c)=0 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 \Omega_t depends on the first component T_0, how can we show/prove its measurability?

Secondly, indeed I read this from a book, and the aurthor simply stated that "as there is T_0 such that for each fixed t\in T_0, the property of a(t,\omega) = b(t,\omega)" holds almost surely, then this also holds almost everywhere on T \times \Omega, 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 \Omega_t depends on the first component T_0, how can we show/prove its measurability?

Well, for fixed t, the set T_0\times \Omega_t 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 T_0 such that for each fixed t\in T_0, the property of a(t,\omega) = b(t,\omega)" holds almost surely, then this also holds almost everywhere on T \times \Omega, how can he jump to this conclusion?

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

\iint_A{(a-b)dP d\mu}=0

Now, by Fubini's theorem, this amounts to

\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

Since for each fixed t, we have that a(t,\omega)=b(t,\omega). 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 ( t , f(t,\omega) ) is a measurable set iff, for each fixed t, f(t,\omega) is measurable in \Omega?

Thanks!Wayne
 

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