So I thought I understand what the lim sup and lim inf are, especially thanks to this post, but now I am presented with a problem from basic probability theory saying:
Let $(A_n)$ be a sequence of events on a probability space $(\Omega, \mathcal{F}, P)$. Recall (from measure theory) the definitions $$ \liminf_{n \to \infty} A_n := \bigcup_{n \geq 1} \bigcap_{m \geq n} A_m, $$ $$ \limsup_{n \to \infty} A_n := \bigcap_{n \geq 1} \bigcup_{m \geq n} A_m. $$ Intuition:
- $\liminf_{n \to \infty} A_n$ consists of the elements $\omega \in \Omega$ that appear in almost all* sets $A_n$.
- $\limsup_{n \to \infty} A_n$ consists of the elements $\omega \in \Omega$ that appear in infinitely many sets $A_n$.
*In this context, "almost all" means that there exists an $N \in \mathbb{N}$ such that for all $n \geq N$, $\omega \in A_n$.
What is the difference? This looks like the exact same statement? Maybe an example would help.
Edit: One example: if $A_n = [-2-(-1)^{n}, 2+(-1)^{n+1})$ then $\liminf_{n \to \infty} A_n = [-1, 1)$ and $\limsup_{n \to \infty} A_n=[-3, 3)$? Maybe? Not sure.