Prove projection of a measurable set from product space is measurable

In summary, the proof demonstrates that the projection of a measurable set from a product space onto one of its factors is measurable. This involves utilizing properties of sigma-algebras and the definition of measurable sets. By showing that the projection of a measurable set aligns with the structure of the sigma-algebra of the factor space, the result is established, confirming that the projection retains measurability under the defined conditions.
  • #1
Lagrange fanboy
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TL;DR Summary
Given a set from a product sigma algebra, how do I prove that it's projection is measurable?
I was reading page 33 of https://staff.fnwi.uva.nl/p.j.c.spreij/onderwijs/TI/mtpTI.pdf when I saw this claim:
Given measurable spaces ##(\Omega_1,\Sigma_1), (\Omega_2,\Sigma_2)## and the product space ##(\Omega_1\times \Omega_2, \Sigma)## where ##\Sigma## is the product sigma algebra, the embedding ##e_b:\Omega_1\rightarrow \Omega_1\times\Omega_2, x\mapsto (x,b)## is measurable.
After some reduction, I notice that ##e^{-1}_b(S)=\emptyset## if ##S\not = \{(x,b)|x\in A\}## for some ##A\subseteq \Omega_1##, otherwise ##e^{-1}_b(S)=\pi_1(S)##, the projection of ##S## onto the first component. Here I'm stuck. I can't show that if ##S\in \Sigma## then ##\pi_1(S)\in \Sigma_1##. I thought about using structural induction, taking advantage of the fact that ##\Sigma## is the smallest sigma algebra generated, but I think for structural induction to work I need to have a well-founded/well-ordered relation, which I cannot find.
 
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  • #3
Just an ignorant suggestion without doing the work: a measurable product set is presumably a union of rectangles with both sides measurable, and projection of a rectangle is a side. so projection of a measurable set is apparently a union of measurable sets, hence measurable. does something like this work?
 
  • #4
You need the following simple fact/lemma:

Let a function ##f:X\to Y## be fixed, and let ##\Sigma## be a sigma-algebra on ##X##, and ##\mathcal C## be some collection of subsets in ##Y##. Assume that for any ##A\in\mathcal C## the inverse image ##f^{-1}(A)## belongs to ##\Sigma##. Then ##f^{-1}(B)\in\Sigma## for all ##B## in ##\Sigma(A)##, where ##\Sigma(A)## is the sigma-algebra generated by ##\mathcal C##.

One of the corollaries of the above lemma is the fact that if for a real-valued function ##f## the sets ##f^{-1}([a, \infty))## are measurable for all ##a\in\mathbb R##, then ##f^{-1}(B)## is measurable for any Borel set ##B\subset\mathbb R##. (This is also true for rays of form ##(a, \infty)##, ##(-\infty, a]##, ##(-\infty, a)##).

The proof of the lemma is quite elementary: consider the collection ##\mathcal B## of all ##B\subset Y## such that ##f^{-1}(B)\in\Sigma##. It is easy to show, using the fact that ##\Sigma## is a sigma-algebra, that ##\mathcal B## is also a sigma-algebra. Therefore ##\Sigma(\mathcal C) \subset\mathcal B##, which proves the statement.

Returning to the original question, it is easy to see that if ##A\in\Sigma_1##, ##B\in\Sigma_2##, then ##\pi_b^{-1}(A\times B)## is measurable (it is ##A## if ##b\in B##, and ##\varnothing## othervise). But such sets ##A\times B## generate ##\Sigma##, so the embedding ##\pi_b## is indeed measurable.

Finally, projections of measurable sets are not always measurable. For example, a coordinate projection of a Borel measurable set in ##\mathbb R^2## is not necessarily Borel. It is a so-called Souslin (a.k.a. analytic) set, but generally it is not Borel.
 

FAQ: Prove projection of a measurable set from product space is measurable

What is a measurable set in the context of product spaces?

A measurable set in the context of product spaces refers to a set that belongs to a σ-algebra defined on the product of two or more measurable spaces. Typically, if \(X\) and \(Y\) are measurable spaces with σ-algebras \(\mathcal{A}\) and \(\mathcal{B}\), the product space \(X \times Y\) is equipped with the product σ-algebra, which is generated by the sets of the form \(A \times B\), where \(A \in \mathcal{A}\) and \(B \in \mathcal{B}\).

What does it mean to project a measurable set from a product space?

To project a measurable set from a product space means to take a set defined in the product space \(X \times Y\) and obtain a set in one of the component spaces, say \(X\) or \(Y\). The projection of a set \(E \subseteq X \times Y\) onto \(X\) is defined as the set \(\pi_X(E) = \{ x \in X : \exists y \in Y \text{ such that } (x, y) \in E \}\).

Why is the projection of a measurable set important in measure theory?

The projection of a measurable set is important because it helps establish properties of measures and integrals in higher-dimensional spaces. Understanding how measurability behaves under projection is crucial for applications in probability theory, ergodic theory, and functional analysis, where one often deals with functions defined on product spaces.

How can we prove that the projection of a measurable set is measurable?

To prove that the projection of a measurable set is measurable, one typically uses the definition of the product σ-algebra and the properties of measurable functions. Specifically, if \(E\) is measurable in \(X \times Y\), we can show that the projection \(\pi_X(E)\) is measurable in \(X\) by demonstrating that it can be expressed as a countable union or intersection of measurable sets, which is a requirement for measurability in σ-algebras.

Are there any conditions under which the projection might not be measurable?

Yes, there are certain conditions under which the projection may not be measurable, particularly in non-standard settings or under specific topologies. For instance, if the σ-algebra on the product space does not align with the projections being taken, or if we deal with non-measurable sets, then the projection could fail to be measurable. However, in standard measure theory involving Lebesgue measure or Borel sets, projections of measurable sets are generally measurable.

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