I have the following in my notes:
Proposition: Let $\{E_j\}_{j=1}^{\infty}$ be a monotonically decreasing family of sets, such that $\bigcap_{j=1}^{\infty} E_j = \emptyset$, then $\lim_{j\to\infty} \mathbb{P}(E_j) = 0$
Where $\mathbb{P}$ denotes a probability measure.
I have an attempt of proof of this in my notes but I'm struggling to understand that, and would like to see if I can find something around. Too bad, I don't know if this proposition is known under some common name and therefore I don't know how to look for it on the web. Any suggestion of where to find something about it would be really appreciated. Thanks.
EDIT: Here is my attempt. Let's call $O_j$ the part between $E_j$ and $E_{j+1}$, then $O_j$ and $O_i$ are disjoint $\forall i,j$ such that $i\ne j$. The union $\bigcup_{j=n}^{\infty} O_j$ can be re-written in terms of the sets, which are such that the $E_j \supset E_{j+1}$ and therefore $O_j = E_j \setminus E_{j+1}$ which implies that
$\bigcup_{j=n}^{\infty} O_j = \bigcup_{j=n}^{\infty} E_j \setminus E_{j+1}$
But then again because $E_j \supset E_{j+1}$ you can write that
$\bigcup_{j=n}^{\infty} O_j = E_n \setminus \bigcap_{j=n}^{\infty}E_j = E_n$
because as hypotesis we had that $\bigcap_{j=1}^{\infty} E_j = \emptyset$
Passing to the probabilities we have that
$\mathbb{P}(E_n) = \mathbb{P}(\bigcup_{j=n}^{\infty} O_j) = \mathbb{P}(E_j \setminus E_{j+1}) $
Using the subadditivity of the probability measure and the fact that $O_j$ are pairwise disjoint we can write that
$\mathbb{P}(E_n) = \sum_{j=n}^{\infty} \mathbb{P}(E_j \setminus E_{j+1}) = \mathbb{P}(E_n) - \lim_{j\to\infty} \mathbb{P}(E_j)$
Which means that $\mathbb{P}(E_n) = \mathbb{P}(E_n) - \lim_{j\to\infty} \mathbb{P}(E_j) \to \lim_{j\to\infty} \mathbb{P}(E_j) = 0$