# Marcinkiewicz-Zygmund’s SLLN

By | December 21, 2016

First, we present well-known Khintchine-Kolmogorov Theorem.

Theorem (Khintchine-Kolmogorov). Let be independent random variables with finite expectation. If ,
then converges a.e.

Now we present the Marcinkiewicz-Zygmund theorem which is our object of this article.

Theorem (Marcinkiewicz-Zygmund Theorem). Suppose that are i.i.d with for some . Then where Proof. Set Then The last inequality comes from the fact Now Hence converges a.e. Note that Hence by Borel-Cantelli’s lemma, a.e. for all but finitely many . Hence converges a.e. This completes the proof.

Now we give some application of this theorem.

Problem. Given i.i.d sequence of random variables , assume and Show converges almost surely.

Proof. Note that . Indeed, Hence it suffices to show

(1) Indeed, suppose the above is true. Then note that since .

Now Marcinkiewicz-Zygmund theorem gives converges almost surely.

Now we left to show that (1) holds. Let .
Then observe that So we are done.