It was originally asked on another website but nobody has been able to prove the numerical result. The attempts usually go by Stirling's approximation or try to use the Silverman-Toeplitz theorem.
3 Answers
As already noted by @SimpleArt, the expression equals
$$\tag 1 (n+1)\ln n!-2\sum_{k=1}^n\ln k!.$$
The sum on the right equals
$$\sum_{k=1}^n\sum_{j=1}^{k}\ln j = \sum_{j=1}^{n}(n—j+1)\ln j= (n+1)\ln n! - \sum_{j=1}^{n} j\ln j.$$
Therefore $(1)$ equals
$$\tag 2 -(n+1)\ln n! +2 \sum_{j=1}^{n} j\ln j.$$
Now $\ln n! = \sum_{k=1}^{n} \ln k,$ and this sum can be compared nicely with $\int_1^n \ln x \, dx$ to get
$$\ln n! = n\ln n - n +O(\ln n).$$
Similarly, $\sum_{j=1}^{n} j\ln j $ can be compared to $\int_1^\infty x \ln x \, dx$ to give
$$\sum_{j=1}^{n} j\ln j = \frac{n^2\ln n}{2}-\frac{n^2}{4} +O(n\ln n).$$
Putting this altogether, we see some nice cancellation shows $(2)$ equals $n^2/2 + O(n\ln n).$ Dividing by $n^2$ then gives $1/2$ for the desired limit.
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1How can we compare a summation with a integral and is this possible in all cases? – Navin Oct 13 '16 at 04:39
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2We do this often, but no, not in all cases. Monotonicity is important. Are you familiar with the integral test for series? – zhw. Oct 13 '16 at 04:46
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@navinstudent Integral test for monotone functions sets an upper and lower bound, allowing for asymptotic expansion to be easily made. – Simply Beautiful Art Oct 13 '16 at 13:47
By Stolz Cezaro $$\lim\limits_{n\to\infty}\frac {1}{n^2}\sum\limits_{k=0}^{n}\ln\binom{n}{k}=\lim\limits_{n\to\infty}\frac {1}{2n+1} \left(\sum\limits_{k=0}^{n+1}\ln\binom{n+1}{k}- \sum\limits_{k=0}^{n}\ln\binom{n}{k} \right)\\ =\lim\limits_{n\to\infty}\frac {1}{2n+1} \sum\limits_{k=0}^{n}\left(\ln\binom{n+1}{k}- \ln\binom{n}{k} \right)\\ =\lim\limits_{n\to\infty}\frac {1}{2n+1} \sum\limits_{k=0}^{n}\ln\left(\frac{(n+1)!}{k!(n+1-k)!} \frac{k!(n-k)!}{n!} \right)\\ =\lim\limits_{n\to\infty}\frac { \sum\limits_{k=0}^{n}\ln\left(\frac{(n+1)}{(n+1-k)} \right)}{2n+1}\\ =\lim\limits_{n\to\infty}\frac { \ln\left(\prod\limits_{k=0}^{n}\frac{(n+1)}{(n+1-k)} \right)}{2n+1}\\ =\lim\limits_{n\to\infty}\frac { \ln\left(\frac{(n+1)^n}{(n+1)!} \right)}{2n+1}\\ $$
Applying stolz Cezaro again, we get $$ =\lim\limits_{n\to\infty}\frac { \ln\left(\frac{(n+2)^{n+1}}{(n+2)!} \right)-\ln\left(\frac{(n+1)^n}{(n+1)!} \right)}{2} \\ =\lim\limits_{n\to\infty}\frac { \ln\left(\frac{(n+2)^{n+1}}{(n+2)!} \frac{(n+1)!}{(n+1)^n} \right)}{2} \\ =\lim\limits_{n\to\infty}\frac { \ln\left(\frac{(n+2)^{n}} {(n+1)^n} \right)}{2}\\ =\lim\limits_{n\to\infty}\frac { \ln\left(1+\frac{1}{n+1} \right)^n}{2}\\ =\frac{\ln(e)}{2}=\frac{1}{2} $$
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Here is as exact an answer as you want, from my answer here: Prove that $\prod_{k=1}^{\infty} \big\{(1+\frac1{k})^{k+\frac1{2}}\big/e\big\} = \dfrac{e}{\sqrt{2\pi}}$
$$\prod_{k=0}^n \binom{n}{k} \sim C^{-1}\frac{e^{n(n+2)/2}}{n^{(3n+2)/6}(2\pi)^{(2n+1)/4}} \exp\big\{-\sum_{p\ge 1}\frac{B_{p+1}+B_{p+2}}{p(p+1)}\frac1{n^p}\big\}\text{ as }n \to \infty $$ where $$\begin{align} C &= \lim_{n \to \infty} \frac1{n^{1/12}} \prod_{k=1}^n \big\{k!\big/\sqrt{2\pi k}\big(\frac{k}{e}\big)^k\big\}\\ &\approx 1.04633506677...\\ \end{align} $$ and the $\{B_p\}$ are the Bernoulli numbers, defined by $$\sum_{p \ge 0} B_p\frac{x^p}{p!} = \frac{x}{e^x-1} .$$
Taking logs,
$$\sum_{k=0}^n \ln\binom{n}{k} \sim \ln C+n(n+2)/2-(3n+2)\ln n/6-(2n+1)\ln(2\pi)/4 -\sum_{p\ge 1}\frac{B_{p+1}+B_{p+2}}{p(p+1)}\frac1{n^p}\\ \text{ as }n \to \infty $$
Dividing by $n^2$,
$$\dfrac1{n^2}\sum_{k=0}^n \ln\binom{n}{k} \to \dfrac12 \text{ as }n \to \infty $$
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$$=(n+1)\ln(n!)-2\sum_{k=0}^n\ln(k!)$$
$$=(n+1)\ln(n!)-2\ln(0!\times1!\times2!\times\dots\times n!)$$
– Simply Beautiful Art Oct 12 '16 at 23:47