Do we need measurable functions when we consider almost everywhere convergence in measure theory?

73 Views Asked by At

I know this definition of almost everywhere convergence:

If $f_n$ and $f$ are measurable functions defined on a measure space $(S,\Sigma,\mu)$, we say that $f_n$ converges to $f$ almost everywhere (a.e.) if there exists a set $E\in\Sigma$ with $\mu(E)=0$ such that $f_n(x)\rightarrow f(x)$ for all $x\in S\setminus E$.

My questions

  • Do we really want the functions be measurable?

  • Or, do we only need a measure on $S$ that can be associated with sets and then we would be fine?

  • If we do not consider measurable functions though, how do we define convergence?

1

There are 1 best solutions below

1
On BEST ANSWER

The functions $f_n,f$ do not need to be measurable.

But a measure space $(S,\Sigma,\mu)$ is necessary because a measure $\mu$ is only defined on some σ-algebra $\Sigma$ on a set $S.$

$f_n\to f$ $\mu$-a.e. iff there exists a set $E\in\Sigma$ such that $\mu(E)=0$ and $\forall x\in S\setminus E\quad f_n(x)\to f(x).$

So, you don't need that the set $\{x\in S\mid f_n(x)\to f(x)\}$ belongs to $\Sigma:$ you only need it to be a subset of some element of $\Sigma$ of $\mu$-measure $0$ (i.e. you only need it to be an element of $\tilde\Sigma$ of $\tilde\mu$-measure $0,$ where $\tilde{}$ refers to the completion).