What is this theorem about measurable functions saying?

In summary: This is important for studying the continuity of functions and other properties in real analysis. In summary, the theorem is stating that for a given function $f$ from a measurable space $(\Omega, \mathcal{F})$ to a measurable space $(Y, \sigma(\mathcal{A}))$, if the preimage of every set $A\in \mathcal{A}$ is measurable, then the preimage of every set in the generated sigma-algebra $\sigma(\mathcal{A})$ is also measurable. This is an important result for studying the measurability and continuity of functions in real analysis.
  • #1
kalish1
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0
**Theorem:**

Let $(\Omega,\mathcal{F})$ be a measurable space and let $f:\Omega \rightarrow Y$ be a given function. Let $\mathcal{A}$ be a collection of subsets of $Y$.

If $f^{-1}(A) \in \mathcal{F}$ for every $A \in \mathcal{A}$, then $f^{-1}(A) \in \mathcal{F}$ for every $A \in \sigma(\mathcal{A})$.

**Questions**:
I understand that $\Omega$ is the underlying set and $\mathcal{F}$ is a class of subsets of $\Omega$ that is closed under finite unions and complementation (i.e., $\mathcal{F}$ is a field). But what is $Y$? And what is the purpose of defining $\mathcal{A}$ as a *collection of subsets* of $Y$, with $A$ an element in that collection? Moreover, what is the message of the theorem?

The notation is throwing me off.

This question has been crossposted on real analysis - What is this theorem about measurable functions saying? - Mathematics Stack Exchange
 
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  • #2
kalish said:
**Theorem:**

Let $(\Omega,\mathcal{F})$ be a measurable space and let $f:\Omega \rightarrow Y$ be a given function. Let $\mathcal{A}$ be a collection of subsets of $Y$.

If $f^{-1}(A) \in \mathcal{F}$ for every $A \in \mathcal{A}$, then $f^{-1}(A) \in \mathcal{F}$ for every $A \in \sigma(\mathcal{A})$.

**Questions**:
I understand that $\Omega$ is the underlying set and $\mathcal{F}$ is a class of subsets of $\Omega$ that is closed under finite unions and complementation (i.e., $\mathcal{F}$ is a field). But what is $Y$? And what is the purpose of defining $\mathcal{A}$ as a *collection of subsets* of $Y$, with $A$ an element in that collection? Moreover, what is the message of the theorem?

The notation is throwing me off.

This question has been crossposted on real analysis - What is this theorem about measurable functions saying? - Mathematics Stack Exchange

Hi kalish,

There is nothing particular about $Y$, except that it's the codomain of $f$. The symbol $\sigma(\mathcal{A})$ denotes the sigma-algebra generated by $\mathcal{A}$. It's important to have $\mathcal{A}$ to be a collection of subsets of $Y$, or else $\sigma(\mathcal{A})$ is undefined.

Note that $(Y, \sigma(\mathcal{A}))$ is a measurable space. So the theorem is saying that the function $f$ is measurable as a map from $(\Omega, \mathcal{F})$ to $(Y, \sigma(\mathcal{A}))$ if $\mathcal{F}$ contains all the preimages $f^{-1}(A)$, $A\in \mathcal{A}$. In particular, if $f$ is a function from $(X, \mathcal{B}_X)$ to $(Y, \mathcal{B}_Y)$ (here $\mathcal{B}_X$ and $\mathcal{B}_Y$ denote the Borel algebras on topological spaces $X$ and $Y$, respectively), then $f$ is a Borel function if the preimage of every open set in $Y$ is a Borel set in $X$.
 

Related to What is this theorem about measurable functions saying?

What is the definition of a measurable function?

A measurable function is a function between two measurable spaces that maps measurable sets to measurable sets. In other words, the pre-image of any measurable set is also measurable.

What does it mean for a function to be measurable?

A measurable function is one where the pre-image of any measurable set is also measurable. This allows for the function to preserve the structure of the underlying measurable space.

What is the importance of measurable functions in mathematics?

Measurable functions play a crucial role in the study of integration and measure theory. They allow for the definition and calculation of integrals and measures on more general spaces, beyond just the real numbers.

How does the theorem about measurable functions relate to integration?

The theorem about measurable functions is a key result in the study of integration, as it allows for the extension of integration to more general spaces. It also provides a way to measure the "size" of sets in these spaces.

Can you give an example of a measurable function?

An example of a measurable function is the indicator function, which takes the value 1 on a set and 0 outside of the set. This function is measurable because the pre-image of any measurable set will either be the set itself or its complement, both of which are measurable.

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