Monday, 30 April 2018

summation - Equality of the sums sumlimitskv=0frackvv! and sumlimitskv=0fracvv(kv)kvv!(kv)!



How can one proof the equality
kv=0kvv!=kv=0vv(kv)kvv!(kv)!
for kN0?




Induction and generating functions don't seem to be useful.



The generation function of the right sum is simply f2(x) with f(x):=k=0(xk)kk!



but for the left sum I still don't know.



It is f(x)=11lng(x) with lng(x)=xg(x) for |x|<1e.


Answer



Recall the combinatorial class of labeled trees which is




\def\textsc#1{\dosc#1\csod} \def\dosc#1#2\csod{{\rm #1{\small #2}}}\mathcal{T} = \mathcal{Z}\times \textsc{SET}(\mathcal{T})



which immediately produces the functional equation



T(z) = z \exp T(z) \quad\text{or}\quad z = T(z) \exp(-T(z)).



By Cayley's theorem we have




T(z) = \sum_{q\ge 1} q^{q-1} \frac{z^q}{q!}.



This yields



T'(z) = \sum_{q\ge 1} q^{q-1} \frac{z^{q-1}}{(q-1)!} = \frac{1}{z} \sum_{q\ge 1} q^{q-1} \frac{z^{q}}{(q-1)!} = \frac{1}{z} \sum_{q\ge 1} q^{q} \frac{z^{q}}{q!}.



The functional equation yields




T'(z) = \exp T(z) + z \exp T(z) T'(z) = \frac{1}{z} T(z) + T(z) T'(z)



which in turn yields



T'(z) = \frac{1}{z} \frac{T(z)}{1-T(z)}



so that




\sum_{q\ge 1} q^{q} \frac{z^{q}}{q!} = \frac{T(z)}{1-T(z)}.



Now we are trying to show that



\sum_{v=0}^k \frac{v^v (k-v)^{k-v}}{v! (k-v)!} = \sum_{v=0}^k \frac{k^v}{v!}.



Multiply by k! to get




\sum_{v=0}^k {k\choose v} v^v (k-v)^{k-v} = k! \sum_{v=0}^k \frac{k^v}{v!}.



Start by evaluating the LHS.

Observe that when we multiply two
exponential generating functions of the sequences \{a_n\} and
\{b_n\} we get that



A(z) B(z) = \sum_{n\ge 0} a_n \frac{z^n}{n!} \sum_{n\ge 0} b_n \frac{z^n}{n!} = \sum_{n\ge 0} \sum_{k=0}^n \frac{1}{k!}\frac{1}{(n-k)!} a_k b_{n-k} z^n\\ = \sum_{n\ge 0} \sum_{k=0}^n \frac{n!}{k!(n-k)!} a_k b_{n-k} \frac{z^n}{n!} = \sum_{n\ge 0} \left(\sum_{k=0}^n {n\choose k} a_k b_{n-k}\right)\frac{z^n}{n!}



i.e. the product of the two generating functions is the generating
function of \sum_{k=0}^n {n\choose k} a_k b_{n-k}.



In the present case we have

A(z) = B(z) = 1 + \frac{T(z)}{1-T(z)} = \frac{1}{1-T(z)} by inspection.




We added the constant term to account for the fact that v^v=1 when
v=0 in the convolution. We thus have



\sum_{v=0}^k {k\choose v} v^v (k-v)^{k-v} = k! [z^k] \frac{1}{(1-T(z))^2}.




To compute this introduce



\frac{k!}{2\pi i} \int_{|z|=\epsilon} \frac{1}{z^{k+1}} \frac{1}{(1-T(z))^2} \; dz



Using the functional equation we put z=w\exp(-w) so that dz = (\exp(-w)-w\exp(-w)) \; dw and obtain



\frac{k!}{2\pi i} \int_{|w|=\gamma} \frac{\exp((k+1)w)}{w^{k+1}} \frac{1}{(1-w)^2} (\exp(-w)-w\exp(-w)) \; dw \\ = \frac{k!}{2\pi i} \int_{|w|=\gamma} \frac{\exp(kw)}{w^{k+1}} \frac{1}{1-w} \; dw



Extracting the coefficient we get



k! \sum_{v=0}^k [w^v] \exp(kw) [w^{k-v}] \frac{1}{1-w} = k! \sum_{v=0}^k \frac{k^v}{v!}



as claimed.


Remark. This all looks very familiar but I am unable to locate the
duplicate among my papers at this time.


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