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How can I show:

If a random variable $Z$ has finite expectation $E(Z)$ (i.e., $Z$ is Lebesgue integrable), then $nP(|Z|>n) \to 0$ as $n \to \infty$?

2 Answers 2

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Note that $nP(|Z|\gt n)=E(Z_n)$ with $Z_n=n\mathbf 1_{|Z|\gt n}$ and that $Z_n\to0$ almost surely. Hence all that is needed is to ensure that the integral of the limit is the limit of the integrals.

Lebesgue dominated theorem tells you that, if $|Z_n|\leqslant Y$ uniformly over $n$, for some integrable $Y$, everything works fine. Surely you have some idea about a candidate for $Y$...

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    A much better a$n$swer than mine. Sometimes I overthink problems...2012-10-01
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As in the de la Vallée-Poussin theorem, let $G$ be an increasing function on $[0,\infty)$ so that $G(x)/x\to\infty$ but so slowly that $E(G(|Z|))<\infty$. Then by Markov's inequality, $n\,P(|Z|>n)=n\,P(G(|Z|)>G(n))\leq {n\, E(G(|Z|))\over G(n)}\to0.$

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    Yes, the converse is false. $E(|Z|)$ is finite if and only if \sum P(|Z|>n)<\infty. So if P(|Z|>n)=1/(n\log(n)) then $E(|Z|)=\infty$ but nP(|Z|>n)\to 0.2012-10-01