Let $X_1,X_2,\cdots$ random variables at $(\Omega,\mathcal F, P)$ such that $E(X_i)=0$ and $E(X^2_i)=1$ for all $i$. Prove that $P(\limsup[X_n \geq n]) = 0$.
Is my proof right?
Let $X_1,X_2,\cdots$ random variables at $(\Omega,\mathcal F, P)$ such that $E(X_i)=0$ and $E(X^2_i)=1$ for all $i$. Prove that $P(\limsup[X_n \geq n]) = 0$.
Is my proof right?
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We have that
$$\sum_{n=1}^{\infty} P[X_n \geq n] \leq \sum_{n=1}^{\infty} \frac{Var[X_n]}{n^2}= \sum_{n=1}^{\infty} \frac{1}{n^2}< \infty.$$
(I used the Chebyshev's inequality)
Hence, by Borel-Cantelli
$$P(\limsup[X_n \geq n]) = 0.$$
Q.E.D.