Sigma algebras generated by two different generators.

measure-theoryprobability theory

I have just started my study of advanced probability theory with the book by Klenke. The author mentioned two generators in an example:

  1. $\mathcal{E}=\{E_n:n\in\mathbb{Z}\}$ where $E_n=[-n,n]\cap\mathbb{Z}$.
  2. $\mathcal{F}=\{F_n:n\in\mathbb{Z}\}$ where $F_n=[-\frac{n}{2},\frac{n+1}{2}]\cap\mathbb{Z}$.

According to the author, the $\sigma(\mathcal{E})\neq2^{\mathbb{Z}}$ while $\sigma(\mathcal{F})=2^{\mathbb{Z}}$.

Since I never enrolled courses involved with measure theory, understanding the differences between the two generators and hence the sigma algebra is somewhat difficult for me. My questions are:

1.What sigma algebra is generated by the first generator?

2.What differences between these two generators contribute to the different sigma algebras?

Thank you for your help!

Best Answer

In the second case $\{-n\} =F_{m+1}-F_m$ where $m=2n-1$. I will you verify that $\{n\}$ is also in the sigma algebra for $n \geq 0$. Hence every singleton set is in $\sigma (\mathcal F)$ which makes $\sigma (\mathcal F)$ the power set of $\mathbb Z$.

$\sigma (\mathcal E)$ is the class of al symmetric subsets of $\mathbb Z$.

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