I'm trying to research unexplored properties of the secretary problem, specifically the probability of choosing the k'th best candidate instead of the best one. Could be thought of as trying to calculate the PDF of the result of the optimal policy of skipping $n/e$.
I've come up with the following infinite sum which represents the probability of choosing $k=2$, in a method very similar to the original problem's proof. There is also a slightly longer and more algebra-heavy proof for a general k.
Using a Riemann approximation of an integral doesn't seem to work in this case, due to the $n-i$ expression stuck inside the sum. By running this calculation, I see that it does in fact converge to $e^{-2} \sim 0.135$, which does in fact match the empirical results. But how do I go about proving it?
$$r=n/e$$ $$\lim_{n\rightarrow\infty} \frac{r-1}{n(n-1)} \cdot \sum_{i=r}^{n-1}{\frac{n-i}{i-1}} \approx e^{-2}$$
EDIT: Maybe the following simplification can help? $$ = \lim_{n\rightarrow\infty} \frac{1}{e} ( \frac{1}{n} \cdot \sum_{i=r}^{n-1}{\frac{n-i}{i-1}}) \approx e^{-2} \Leftrightarrow \lim_{n\rightarrow\infty} \frac{1}{n} \cdot \sum_{i=r}^{n-1}{\frac{n-i}{i-1}} \approx e^{-1}$$
Screenshot of how the sum is arrived at
P.S. The formula for a general k, if anyone's interested: $$\lim_{n\rightarrow\infty} \frac{r-1}{n} \cdot \sum_{i=r}^{n-k+1}{\frac{1}{i-1} \cdot \prod_{j=0}^{k-2}{\frac{n-i-j}{n-j-1}}}$$ If anyone can help me find what the general k converges to, I will be much obliged. I suspect it converges to $e^{-k}$.