I found interesting task: Calculate $$\sum_{k=1}^n (-1)^{k+1} \binom{n}{k}\frac{1}{k}$$
I have calculated some first values and I see that it is $H_n$. I found there tip that it can be solved by induction or by "integral" trick by considering $\sum_{k=1}^n(-1)^k{n\choose k}x^{k-1}$ I don't know what is that trick so I decided to solve it by induction.
Let $S_n = \sum_{k=1}^n (-1)^{k+1} \binom{n}{k}\frac{1}{k} $
$$ S_1 = 1 = H_1 \text{ ok.} $$
$$S_{n+1} = \sum_{k=1}^{n+1} (-1)^{k+1} \binom{n+1}{k}\frac{1}{k} = \\
-\sum_{k=0}^{n} (-1)^{k+1} \binom{n+1}{k+1}\frac{1}{k+1}$$
but I have problem with use induction assumption.
$$-\sum_{k=0}^{n} (-1)^{k+1} \binom{n}{k}\frac{n+1}{(k+1)^2} = \\
-(n+1)\sum_{k=0}^{n} (-1)^{k+1} \binom{n}{k}\frac{1}{(k+1)^2}$$
but know I have $\frac{1}{(k+1)^2} $ instead of something like $\frac{1}{k}$
Base step: $n=1$
\begin{align*} \sum_{k=1}^1(-1)^{k+1}\binom{1}{k}\frac{1}{k}=1=H_1 \end{align*}
Induction hypothesis: $n=N$
We assume the validity of \begin{align*} \sum_{k=1}^N(-1)^{k+1}\binom{N}{k}\frac{1}{k}=H_N\tag{1} \end{align*}
Comment:
In (2) we use the binomial identity $\binom{p+1}{q}=\binom{p}{q}+\binom{p}{q-1}$.
In (3) we apply the induction hypothesis (1).
In (4) we use the binomial identity $\frac{p+1}{q+1}\binom{p}{q}=\binom{p+1}{q+1}$.