Let $X_n$, $n\geq 0$, be i.i.d. random variables such that: $\mathbb E(X_1)=0$, and $0<\mathbb E(|X_1|^2)<\infty$. Given that $\alpha >\frac{1}{2}$, I need to show that $$S_n=\sum_{k=1}^{n}\frac{X_k}{k^\alpha}$$
Converges almost surely.
Can I have a hint for how to do this?
To show that $$S_n=\sum_{k=1}^{n}\frac{X_k}{k^\alpha}$$
converges, we use Kolmogorov's Three Series Theorem, which implies that we have to show three conditions are satisfied:
a.) For some $A>0$, $\displaystyle \sum_{k=1}^{\infty}\mathbb P\left(\left|\frac{X_k}{k^{\alpha}}\right|\geq A\right)$ converges
b.) Let $\displaystyle Y_{k}:=\frac{X_k}{k^{\alpha}}1_{\{\left|\frac{X_{k}}{k^{\alpha}}\right|\leq A\}}$, Then $\displaystyle \sum_{k=1}^{\infty}\mathbb E[Y_{k}]$ converges;
c.) $\displaystyle \sum_{k=1}^{\infty}\mathrm{Var}(Y_{k})$ converges.
