For a while, I have been strunggling to find why Levy's continuity Theorem would imply that:
$P_{n} \xrightarrow{\text{distribution}} P\iff \phi_{n}(t)\xrightarrow{n \to \infty}\phi(t)\; $
since Levy's Continuity Theorem is concerned with weak convergence rather than convergence in distribution. I thus attempted to find an equivalence between convergence in distribution and weak convergence. This leads me to the Portmanteau Lemma which shows many equivalent notions of weak convergence. So I am to attempt the following equivalence in the case of the measure being on $\mathbb R$:
$$ P_{n}\xrightarrow{\text{weakly}}P \iff P_{n}\xrightarrow{\text{distribution}}P$$
For "$\Rightarrow$" consider the equivalent notion of "weak convergence" from the Portmanteau Lemma, namely:
$P_{n}(A)\xrightarrow{n \to \infty} P(A)$ for any $P$-continuity set $A$.
Now let $x$ be a continuity point of $F$ in $\mathbb R$, then the set $(-\infty,x]$ is a continuity set under $P$ and hence: $F_{n}(x)=P_{n}((-\infty,x])\xrightarrow{n \to \infty} P((-\infty,x])=F(x)$ thus $F_{n}\xrightarrow{ \text{distribution}} F$.
I do not know what equivalent definition of weak convergence to prove for "$\Leftarrow$" direction. Continuity sets could take vastly different forms to $(-\infty,x]$ , thus I do not think I could use it. Any help would be greatly appreciated.