Consider a sequence $A_i, i \geq 1$ of Events.
At one point in our lecture, we have used:
$$P[\limsup_i A_i]= 1 -P[\liminf_i A_i^c]$$
with the reasoning that we can use de Morgan's rule.
At some other point however, we write
$$P[\liminf_i A_i] = 1- P[(\liminf_i A_i)^c] = 1- P[\liminf_i A_i^c] \geq 1- P[\limsup_i A_i^c]$$
arguing that $\liminf_i A_i^c \subseteq \limsup_i A_i^c$.
Which is true? Is $(\liminf A_i)^c = \limsup A_i^c$ or equal to $\liminf A_i^c$?
Thanks!
Pf:
$$LHS = (\liminf A_i)^c = (\bigcup_{m \ge 1} \bigcap_{n \ge m} A_i)^c$$
$$= \bigcap_{m \ge 1} \bigcup_{n \ge m} A_i^c = RHS \ QED$$
Pf:
$$\omega \in \liminf A_i$$
$$\to \exists m \ge 1 \ s.t. \omega \in A_m, A_{m+1}, ...$$
Now $\forall n \ge 1,$ we must find $A_i$ s.t. $\omega \in A_i$ and $i > n$
Case 1: $n < m$
Choose $i = m$
Case 2: $n \ge m$
Choose $i = n+1$
QED