Let $\sum_{n=0}^{\infty}a_n^2$ a convergent series. Prove that $\sum_{n=0}^{\infty}a_n/n$ converges or give a counter-example.
I know that there is already a post concerning this statement with a lot of answers, but i did't find a similar approach to mine in that post and an answer to my question.
After a long searching for a counter-example (failed), i started to prove the statement. First, i tried to prove it by comparaison but didn't succeed. So, i tried to pass by Cauchy definition. I'm not sure at all if it holds what i did. If someone could give a feedback and point to my errors, i would really appreciate it.
Proof
As $\sum_{n=0}^{\infty}a_n^2$ exists, then $\lim_{n\to \infty}a_n^2=0$. Thus, $\forall \epsilon>0 \ \exists N \ \forall n\ge N:$ $|a_n|<\sqrt{\epsilon}$
Let's proof that $\sum_{n=0}^{\infty}\dfrac{a_n}{n}$ is Cauchy. By definition of Cauchy we have to satisfy the following: $\forall \epsilon>0 \ \exists N' \ \forall n\ge N'$:
$\Big|\sum_{k=N'}^{n}\dfrac{a_k}{k}\Big|<\epsilon$
But,
$\Big|\sum_{k=N'}^{n}\dfrac{a_k}{k}\Big|\le \sum_{k=N'}^{n}\dfrac{|a_k|}{k}\le \sqrt{\epsilon}\sum_{k=N'}^{n}\dfrac{1}{k}$
Let $(x_n)=\frac{1}{n}$. As $\lim_{n\to\infty}x_n=0$ we have by definition that: $\forall \epsilon>0 \ \exists N'' \ \forall n\ge N'':$ $|x_n|<\sqrt{\epsilon}$. Therefore,
$\sqrt{\epsilon}\sum_{k=N'}^{n}\dfrac{1}{k}<\sqrt{\epsilon}\sqrt{\epsilon}=\epsilon$.
So, if we choose $N'=\max\{N,N''\}$, we satisfy Cauchy definition.
Edit: As $x_n$ is a converging sequence: $\exists M>0$: $|x_n|\le M \ \forall n \in \mathbf{N}$. We could then take $|a_n|<\frac{\epsilon}{M(n-N)}$.
Thus,
$\Big|\sum_{k=N'}^{n}\dfrac{a_k}{k}\Big|\le \frac{\epsilon}{M(n-N)}\sum_{k=N'}^{n}\dfrac{1}{k}\le \frac{\epsilon}{M(n-N)}\cdot M(n-N')$
If we take $N'=N$, we have then:
$\Big|\sum_{k=N'}^{n}\dfrac{a_k}{k}\Big|\le\epsilon$
Does it hold this way?
From $x_n<\sqrt \epsilon$, you unfortunately only get $$\sqrt \epsilon\sum_{k=N'}^n\frac1n=\sqrt \epsilon\sum_{k=N'}^nx_n<\sqrt \epsilon\sum_{k=N'}^n\sqrt \epsilon =(n-N+1)\epsilon\not<\epsilon. $$