My book in stochastic processes has this section about i.o which I don’t really understand. Is there any example of any other to explain this? How can I understand this?
It states the following: Let $A_{1}, A_{2}, \ldots$ be a sequence of subsets of $\Omega$. We define $$ \left(A_{n} \text { i.o. }\right)=\bigcap_{n=1}^{\infty} \bigcup_{m=n}^{\infty} A_{m} $$ The abbreviation i.o. stands for infinitely often.