Proof of Convergence in Distribution for random variables with infinite variance

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We are asked to prove that given $\{X_n\}$ being a sequence of iid r.v's with density $|x|^{-3}$ outside $(-1,1)$, the following is true: $$ \frac{X_1+X_2 + \dots +X_n}{\sqrt{n\log n}} \xrightarrow{\mathcal{D}}N(0,1). $$

My idea is to use the taylor expansion of the characteristic function. But no matter what I do, I run into trouble with infinity and I cannot prove the convergence of the limit of c.f.

Can anybody give a hint? Thanks so much!

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This question was asked an other time on Crosss Validated. One of the ideas of proof is to use Lindeberg central limit theorem to the array of random variables $$ Y_{n,k}:=X_k\mathbf 1\left\{\left\lvert X_k\right\rvert\leqslant n\right\} $$ and show that the contribution of the partial sums of $X_k\mathbf 1\left\{\left\lvert X_k\right\rvert\gt n\right\} $ is negligible.