The inequality is \begin{equation*} \sum_{k=1}^{2d}\left(1-\frac{1}{2d+2-k}\right)\frac{d^k}{k!}>e^d\left(1-\frac{1}{d}\right) \end{equation*} for all integer $d\geq 1$. I use computer to verify it for $d\leq 50$, and find it is true, but I can't prove it. Thanks for your answer.
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2How did this arise? How do you know it's true? – Noah Schweber Jun 07 '13 at 03:55
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3Would you like to give us some background and motivation, as per http://mathoverflow.net/howtoask... – David Roberts Jun 07 '13 at 03:55
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1For that matter, what does "small $d$" mean? $d<10$? $d<10^{10}$? – Noah Schweber Jun 07 '13 at 04:06
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3@Andres: I think the solution at SE is incorrect. – GH from MO Jun 07 '13 at 05:13
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Have you tried the Abel transform http://en.wikipedia.org/wiki/Summation_by_parts ? – Mark Jun 07 '13 at 06:34
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2@math67: the link provideed by Mark is certainly more detailled on such a topic than any explanation that is suitable here. Did you read it? – Benoît Kloeckner Jun 07 '13 at 09:06
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1@Benoit: I have read it. But it seems useless for this proof. – useag Jun 07 '13 at 10:27
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I also don't think it is research level. I would try to pair up the terms on the LHS as k and (2d+1-k) and show that the latter is always bigger, then use the series expansion of e^d. – domotorp Jun 07 '13 at 14:06
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10@domotorp Why don’t you think it is research level? He did some research and got stuck at some ugly inequality. Not everybody is like Ramanujan and the inequality is definitely non-trivial. – The User Jun 07 '13 at 14:47
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@domotorp I don't understand your method. Could you give a detailed explain? – useag Jun 07 '13 at 15:13
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2domotrop, have you actually tried this? There are a lot of error terms to keep track of, and most people never take a course that covers this sort of manipulation. Voting to reopen. – David E Speyer Jun 07 '13 at 15:18
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The inequality seems nice; I think the Q shd. remain open (voted). – Suvrit Jun 07 '13 at 16:10
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Before voting to reopen, I would like to see the OP give some motivation. – Yemon Choi Jun 07 '13 at 16:14
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10I cast the final vote to reopen. The question is well-posed, not hopeless, and I cannot do it in 10 minutes, so, I guess, it can stay if not based on definitions, then based on precedents. – fedja Jun 07 '13 at 17:00
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6I just slogged through the Stirling's formula, Euler-Maclaurin approach and I got that the sum is $e^d (1-1/d+O(1/d^2)$ (in other words, inconclusive), after a ton of cancellation which required, among other things, knowing the $1/(12 n)$ term in Stirling's formula. I take this as evidence that this inequality is very tight, and probably not easy to prove by. – David E Speyer Jun 07 '13 at 17:17
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I've put my progress up at math.SE. http://math.stackexchange.com/a/414027/448 – David E Speyer Jun 07 '13 at 17:41
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2Phew, then I shouldn't feel so bad; I tried for 10 minutes too and could not prove it---but if fedja himself could not do it in 10 minutes, then this inequality deserves to stay open! I agree with David, it seems quite tight. – Suvrit Jun 07 '13 at 18:28
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2Let $D(d)$ be $e^{-d} d^2$ times the difference between the two sides. Then $D(100) = 0.9795408\ldots$, $D(1000) = 0.99799594738\ldots$, and $D(10^4) = 0.999799959947939\ldots$, suggesting that in general $D(d) = 1 - 2/d + 4/d^2 + O(d^{-3})$. This in turn suggests that taking David's math.SE analysis one step further will give a proof (modulo finite computation to deal with small $d$). – Noam D. Elkies Jun 07 '13 at 19:14
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Um, make the $1/d^2$ coefficient $-4$, not $+4$. The analysis I give below confirms. – Noam D. Elkies Jun 07 '13 at 20:31
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(I've deleted an obsolete comment above. The link to the math.SE version is here: http://math.stackexchange.com/q/413558/462) – Andrés E. Caicedo Jun 07 '13 at 22:11
3 Answers
[Edited mostly to fix a typo noted by David Speyer]
The following analysis simplifies and completes the "routine but somewhat unpleasant" task of recovering the actual inequality from the asymptotic analysis.
The idea is that once we've obtained the asymptotic expansion $$ \sum_{k=1}^{2d} \left( 1 - \frac1{2d+2-k} \right) \frac{d^k}{k!} \sim e^d \left( 1 - \frac1{d} + \frac1{d^2} - \frac2{d^3} \cdots \right) $$ by expanding $1 - 1/(2d+2-k)$ in a power series about $k=d$, we should be able to replace $1 - 1/(2d+2-k)$ by something smaller that can be summed exactly and is close enough that the result is within a small enough multiple of $e^d$ to maintain the desired inequality.
Because it takes about $2m$ terms of the power series in $k$ to get within $O(1/d^m)$, I had to match the power series to within $O(k-d)^6$. Let $$ A_6(k) = \frac{d+1}{d+2} - \frac{k-d}{(d+2)^2} - \frac{(k-d)^2}{(d+2)^3} - \frac{(k-d)^3}{(d+2)^4} - \frac{(k-d)^4}{(d+2)^5} - \frac{(k-d)^5}{(d+2)^6} - \frac{(k-d)^6}{2(d+2)^6}, $$ so the final term has denominator $2(d+2)^6$ instead of $(d+2)^7$. Then $$ 1 - \frac1{2d+2-k} = A_6(k) + \frac{(k-d)^6(2d-k)}{2(d+2)^6(2d+2-k)} \geq A_6(k) $$ for all $k \leq 2d$. Hence $$ \sum_{k=1}^{2d} \left( 1 - \frac1{2d+2-k} \right) \frac{d^k}{k!} > \sum_{k=1}^{2d} A_6(k) \frac{d^k}{k!}. $$ On the other hand, since $A_6(k)$ is a polynomial in $k$, the power series $\sum_{k=0}^\infty A_6(k) d^k/k!$ is elementary (see my earlier answer for the explanation; David Speyer implicitly used this too in the calculation "with the aid of Mathematica"). I find $$ \sum_{k=0}^\infty A_6(k) \frac{d^k}{k!} = \frac{2d^6 + 22d^5 + 98d^4 + 102d^3 + 229d^2 + 193d + 64}{2(d+2)^6} e^d $$ $$ = \left( 1 - \frac1d + \frac{2d^5 + 5d^4 + 69d^3 + 289d^2 + 320d + 128}{2d(d+2)^6} \right) \cdot e^d > \left(1 - \frac1d\right) e^d. $$ We're not quite finished, because we need a lower bound on $\sum_{k=1}^{2d} A_6(k) d^k/k!$, not $\sum_{k=0}^\infty$. However, once $d$ is at all large the terms with $k=0$ and $k>2d$ are negligible compared with our lower bound $$ \sum_{k=0}^\infty A_6(k) d^k/k! - \left(1 - \frac1d\right) e^d \geq \frac{2d^5 + 5d^4 + 69d^3 + 289d^2 + 320d + 128}{2d(d+2)^6} e^d > \frac{d^4}{(d+2)^6} e^d. $$ Indeed the $k=0$ term is less than $1$, and for $k>2d$ we have $A_6(k) < A_6(2d) = 1/2$ while $d^k/k!$ is exponentially smaller than $e^d$: $$ \sum_{k=2d+1}^\infty \frac{d^k}{k!} < 2^{-2d} \sum_{k=2d+1}^\infty \frac{(2d)^k}{k!} < 2^{-2d} \sum_{k=0}^\infty \frac{(2d)^k}{k!} = (e/2)^{2d}. $$ So we're done once $$ 1 + \frac12 \left(\frac{e}{2}\right)^{2d} < \frac{d^4}{(d+2)^6} e^d, $$ which happens once $d \geq 14$. Since the desired inequality has already been verified numerically up to $d=50$, we're done. QED
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1This is a very slick trick. In the penultimate displayed equation, I think some $k$'s and $d$'s are switched (you want to sum on $k$, yes?) – David E Speyer Jun 10 '13 at 13:27
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1Thanks to all! David Speyer is right; I've now edited my answer to fix that error. – Noam D. Elkies Jun 23 '13 at 23:58
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Beautiful proof, Noam. Could you please explicate your comment "because it takes about $2m$ terms of the power series in $k$ to get within $O(1/dm)$"? Thanks. – Hans Jul 07 '13 at 04:55
This is true for large $d$, and probably for all $d$. I'll prove that the sum is $$e^d(1-1/d+1/d^2+O(1/d^{2.5+\epsilon}))$$ and leave the explicit bounds to you.
Set $k=d+\ell$. For $|\ell| \leq d^{0.5+\epsilon}$, we have $$1-1/(2d+2-k) = 1-\frac{1}{d} \frac{1}{1-(\ell-2)/d} = 1-\frac{1}{d} - \frac{\ell-2}{d^2} - \frac{(\ell-2)^2}{d^3} + O(d^{-2.5+3 \epsilon})$$ $$=1-\frac{1}{d} - \frac{\ell}{d^2} + \frac{2 d - \ell^2}{d^3} + O(d^{-2.5+\epsilon}).$$
We will show later that the difference between your sum and $$\sum_{k=0}^{\infty} \frac{d^k}{k!} \left( 1-\frac{1}{d} - \frac{\ell}{d^2} + \frac{2 d - \ell^2}{d^3} \right)$$ is very small, where $\ell = k-d$. Assuming that, let's compute the new sum. With the aid of Mathematica, $$\sum_{k=0}^{\infty} \frac{x^k}{k!} \left( 1-\frac{1}{d} - \frac{k-d}{d^2} + \frac{2 d - (k-d)^2}{d^3} \right) = e^x \left( 1-\frac{1}{d}+\frac{x}{d^2}-\frac{x^2}{d^3} + \frac{2}{d^2} - \frac{x}{d^3} \right). $$
Plugging in $x=d$, $$\sum_{k=0}^{\infty} \frac{d^k}{k!} \left( 1-\frac{1}{d} - \frac{k-d}{d^2} + \frac{2 d - (k-d)^2}{d^3} \right) = e^d \left( 1-\frac{1}{d} + \frac{1}{d^2} \right).$$ The error coming from $O(d^{-2.5+\epsilon}) \sum d^k/k!$ is $e^d O(d^{-2.5+\epsilon})$.
We now just need to think about the error coming from discarding the terms with $|\ell|>d^{0.5+\epsilon}$. No matter what $\ell$ is, that error is no worse than $d^k/k! \cdot ( O(\ell^2/d^3) + O(1))$. But, for $|\ell| > d^{0.5 + \epsilon}$, we have $d^k/k! \leq e^{-d^{2 \epsilon}}$ as I pointed out on math.SE, so the contribution from these terms is exponentially small.
I have not found a slick way to give a proof for all $d$, rather than an asymptotic result.
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Maybe we could try to prove that if the inequality holds true for a given large $d$, it still holds true for $d-1$? This would settle the problem for all $d$. – Sylvain JULIEN Jun 07 '13 at 21:39
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[I think the following comes down to basically what David Speyer is doing, systematized to get as much of the asymptotic expansion as we want.]
For large $d$ there's an asymptotic expansion $$ \sum_{k=1}^{2d} \left( 1 - \frac1{2d+2-k} \right) \frac{d^k}{k!} = e^d \left( 1 - \frac1d + \frac1{d^2} - \frac2{d^3} - \frac4{d^4} - \frac{52}{d^5} - \frac{608}{d^6} \cdots \right)\phantom.. $$ It should be routine but somewhat unpleasant to get error estimates for the expansion through $1/d^2$ sufficient to prove the desired inequality for all $d$ (given that it is known to be true up to $d=50$ by numerical computation).
To obtain $m$ terms of this asymptotic expansion, we need about $2m$ terms of the Taylor expansion of $1 - 1/(2d+2-k)$ about $k=d$, which is the peak of $d^k/k!$. This Taylor expansion is a constant minus a geometric series: $$ 1 - \frac1{2d+2-k} = \frac{d+1}{d+2} - \frac{k-d}{(d+2)^2} - \frac{(k-d)^2}{(d+2)^3} - \frac{(k-d)^3}{(d+2)^4} - \cdots . $$ Now when we truncate this expansion before the $O((k-d)^N)$ term we get $(d+2)^{-N}$ times a polynomial in $d$ and $k$. We can then write that polynomial as a finite sum $$ P_0(d) + k P_1(d) + k(k-1) P_2(d) + k(k-1)(k-2) P_3(d) + \cdots $$ and then multiplying each term $k! P_i(d) / (k-i)!$ by $d^k/k!$ and summing over $k \geq 0$ we get $P_i(d) d^i e^d$. Hence our $N$-th approximation is $\sum_i P_i(d) d^i e^d \left/ (d+2)^N \right.$, which is $e^d$ times some rational function in $d$. Expanding this rational function about $d = \infty$ we obtain the above power series once $N \geq 11$.
[The next few coefficients past $-608$ are $$ -8864, -151408, -1973184, -65998976, -1633489408, -44681812096, -1336497292288; $$ no, this sequence is not in the OEIS.]
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