In thinking about my question here for the Linial arrangement, the following limit arose: $$ \lim_{n\to\infty}\frac{(n-1)\sum_{k=0}^n {n\choose k}(k+1)^{n-2}} {\sum_{k=0}^n {n\choose k}(k+1)^{n-1}}. $$ Is this limit finite? What is its value? It might be around $2.27\cdots$.
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1$\begingroup$ how about we first write the numerator/denominator as derivatives of $\sum_{k=0}^{n}\binom{n}{k}x^{k}=(x+1)^{n}$ and then take limits? $\endgroup$– Thomas KojarCommented Mar 3, 2023 at 1:00
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$\begingroup$ @ThomasKojar: how does one do this? In my sums, all the exponents are the same. $\endgroup$– Richard StanleyCommented Mar 3, 2023 at 2:45
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$\begingroup$ right, actually $\sum_{k=0}^{n}\binom{n}{k}e^{(k+1)x}=e^{x}(e^{x}+1)^n$, which by product rule we get the same; so might not be as helpful. $\endgroup$– Thomas KojarCommented Mar 3, 2023 at 3:36
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2$\begingroup$ and then doing L'Hopital in reverse to get sth like $\frac{ (n-1)(e^{x}(e^{x}+1)^{n} )}{\partial (e^{x}(e^{x}+1)^{n} )}$. But these are just heuristics. $\endgroup$– Thomas KojarCommented Mar 3, 2023 at 3:47
2 Answers
First of all, it seems like the value of the limit is more like $1.27...$, and not $2.27...$.
Using some heuristics outlined below it is possible to find the limit: $$ a=1.278464542761..., $$ where $a$ is the root of $(x-1)e^x=1$ (can be expressed in terms of Lambert W-function).
The approach is standard, based on saddle point approximation. First, one notes that the main contribution to both sums come from large values of $k\gtrapprox n/2$. When both $k$ and $n$ are large then one has the asymptotics https://en.wikipedia.org/wiki/Binomial_coefficient#Bounds_and_asymptotic_formulas : $$ \binom{n}{k}=\sqrt{\frac{n}{2\pi k(n-k)}}\frac{n^n}{k^k(n-k)^{n-k}}. $$ Second, replace the sums with Riemann integral. Using saddle point approximation one can find that the main contribution to the sums come from values of $k$ that give maximum to the function (here the contibution from square root factors are omitted, but they can be taken into account without altering the final result): $$ e^{(n-\epsilon)\ln(x+1)-x\ln x-(n-x)\ln (n-x)} $$ where $\epsilon$ is 1 ir 2. This gives equation for $k_m$: $$ \frac{x_m}{n-x_m}=e^{\frac{n-\epsilon}{x_m+1}}, $$ which is asymptotically the same as $$ \frac{1}{z-1}=e^{z}, \quad z=n/x_m. $$ Then the ratio of two sums is approximated around the saddle point as $$ \frac{(n-1)g(x_m)I}{(x_m+1)g(x_m)I}\to a $$ where $g=\binom{n}{x_m}(x_m+1)^{n-2}$, and $I$ is the Gaussian integral around the saddle point, which is the same both for the numerator and denominator sums.
Of course, this analysis can be made rigorous using all the usual big O notation, etc...
The same value as in Nemo's answer may be obtained in a slightly more elementary way: denote $c_k={n\choose k} (k+1)^{n-2}$. We want to find the limit of $\frac{\sum (n-1)c_k}{\sum (k+1)c_k}$. Both sums are concentrated around $k=k_0$ where $c_k$ is maximal, thus the ratio of two sums is approximately $n/k_0$. To find $k_0$, consider the ratio of two consecutive $c_k$'s: $$\frac{c_{k+1}}{c_k}=\left(1+ \frac1{k+1}\right)^{n-2}\cdot \frac {n-k}{k+1}.$$ If $k\approx n/a$, this is approximately $e^a(a-1)$. Thus, when $k/n$ is too far from $n/a_0$, where $a=a_0$ solves $e^{a}(a-1)=1$, the sequence $c_k$ either increases or decreases at least as a geometric progression. It follows that all meaningful $c_k$'s are concentrated around $n/a_0$, and the limit you look for equals $a_0$.