Analyse the asymptotic behavior of $\sum_{p\leq x} \frac{\log^2(p)}{p}$

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This question showed up in a number theory test from previous semesters so I might not know all the material needed to solve this question but here is my try:

The function $f(x)=\frac{\log^2(x)}{x}$ is bounded in $(1,\infty)$ so for some upped bound $C$ on $f(x)$ we have $$\sum_{p\leq x, p\, \text{prime}} \frac{\log^2(p)}{p}\leq C\cdot \pi(x)$$ on the other hand for large enough $x$ we have $\min\left\{\frac{\log^2(p)}{p}|p\leq x, p\, \text{prime}\right\}\geq \frac{\log^2(x)}{x}$ and so: $$\sum_{p\leq x, p\, \text{prime}} \frac{\log^2(p)}{p}\geq \frac{\log^2(x)}{x} \pi(x)\stackrel{PNT}{=}O(\log(x))$$ Both bounds dont give a tight bound and here I am pretty much stuck.

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This isn’t number theory. It really is only analysis.

Note that if $(p_n)_n$ is the increasing sequence of the prime numbers, it’s technically easier to find an equivalent for $S_n=\sum_{k=1}^n{\frac{\ln^2{p_k}}{p_k}}$.

That’s a series, and the general term can be easily (using the PNT) proved equivalent to $\frac{\ln^2{k}}{k\ln{k}}=\frac{\ln{k}}{k}$. In particular, the series is divergent, and thus $S_n \sim \sum_{k=4}^n{\frac{\ln{k}}{k}}$.

Using a series-integral comparison, the sum above can be shown equivalent to $\frac{\ln^2{n}}{2}$.

So the original sum is equivalent to $\frac{\ln^2{\pi(x)}}{2} \sim \frac{\ln^2{x}}{2}$.

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For convenience, let's define

$$ F(x)=\sum_{p\le x}{\log p\over p} $$

Then using Riemann-Stieltjes integration we have

$$ \begin{aligned} \sum_{p\le x}{\log^2p\over p} &=\int_{2^-}^x\log t\mathrm dF(t) =F(x)\log x-\int_2^x{F(t)\over t}\mathrm dt \\ &=\log^2x-\int_2^x{\log t\over t}\mathrm dt+[F(x)-\log x]\log x-\int_2^x{F(t)-\log t\over t}\mathrm dt \end{aligned} $$

By Mertens' first theorem, we know that $F(x)=\log x+\mathcal O(1)$, so the above formula gets simplified into

$$ \sum_{p\le x}{\log^2p\over p}=\log^2x+\mathcal O(\log x) $$