Limit of the expectation in law

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Given that $(X_n)_{n \in \mathbb(N)}$ converges in distribution to $X$, I am trying to show that $$E(|X|) \le \lim_{n \to \infty} \inf (E|X_n|).$$

I though of using Portmanteau theorem since part e) in my notes claims the following

  • for each $U \subset S $ open $\lim_{n \to \infty} \inf \mu_n(U) \ge \mu(U)$.

But how do I come to expectations from probability measures ?