\documentclass[12pt]{article}\textwidth= 6.25in\textheight= 9.0in\topmargin = -10pt\evensidemargin=10pt\oddsidemargin=10pt\headsep=25pt\parskip=10pt\font\smallit=cmti10\font\smalltt=cmtt10\font\smallrm=cmr9 \newtheorem{proposition}{Proposition}\usepackage{latexsym}\begin{document} \vspace*{-40pt} \centerline{\smalltt INTEGERS:  \smallrm ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY \smalltt 5 (2005), \#A18} \vskip 30pt \begin{center}{\bf TWO VERY SHORT PROOFS OF A COMBINATORIAL IDENTITY}\vskip 20pt{\bf Roberto Anglani}\\{\smallit Dipartimento Interateneo di Fisica ``Michelangelo Merlin'', Universit\`{a} degli Studi di Bari,\linebreak Via Amendola 173, 70126 Bari,Italy}\\{\tt roberto.anglani@ba.infn.it}\\ \vskip 10pt{\bf Margherita Barile\footnote{Partially supported by the Italian Ministry of Education, University and Research. All surface mail should be sent to the second author.}}\\{\smallit Dipartimento di Matematica, Universit\`{a} degli Studi di Bari, Via E. Orabona 4, 70125 Bari, Italy}\\{\tt barile@dm.uniba.it}\\ \end{center}\vskip 30pt\centerline{\smallit Received: 3/21/05, Accepted: 7/31/05, Published: 8/8/05}\vskip 30pt \centerline{\bf Abstract}\noindentWe give two quick elementary proofs of a well-known additive formula for the factorial which arises from the calculus of finite differences. The first one is purely analytical, the second one purely combinatorial.\pagestyle{myheadings}\markright{\smalltt INTEGERS: \smallrm ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY \smalltt 5 (2005), \#A18\hfill}\thispagestyle{empty} \baselineskip=15pt \vskip 30pt \section*{\normalsize 1. Introduction} In Chapter I of his work on the calculus of finite differences [1], Boole defines, for all real valued function of one real variable $f(x)$, the {\it first difference} of $f(x)$ (with respect to the increment 1) as $\Delta f(x)=f(x+1)-f(x)$. He then defines, for all integers $n\geq2$, the {\it n-th difference} by the recursive formula $\Delta^nf(x)=\Delta\Delta^{n-1}f(x).$This enables him to prove by induction (see [1], p.~5, (2)) that, for all positive integers $n$, \begin{equation}\label{1}\Delta^nx^n=n!.\end{equation}\noindentLater  on  he introduces the operator $E$ by setting $Ef(x)=f(x+1)$, so that $\Delta=E-1$ and, consequently (see [1], p.~19, (3)),$$\Delta^nf(x)=(E-1)^nf(x)=\sum_{i=0}^n{n\choose i}(-1)^{n-i}E^if(x)=\sum_{i=0}^n{n\choose i}(-1)^{n-i}f(x+i).$$\noindent In particular one has that\begin{equation}\label{2} \Delta^nx^n=\sum_{i=0}^n{n\choose i}(-1)^{n-i}(x+i)^n.\end{equation}\noindent{From} (1) and (2) for $x=0$ one can derive the identity\begin{equation}\label{3}n!=\sum_{i=1}^n(-1)^{n-i}{n\choose i}i^n.\end{equation}\noindent We want to give two alternate proofs of (\ref{3}), which have the advantage of being direct, short and elementary and, moreover, show the close relation of (\ref{3}) to differential calculus and combinatorics. \vskip 30pt\section*{\normalsize 2. The proofs}\begin{proposition}\label{p1}  For every positive integer $n$, $$n!=\sum_{i=1}^n(-1)^{n-i}{n\choose i} i^n.$$\end{proposition}\noindent{\it Proof.} Consider the first order Taylor expansion with Lagrange remainder of the exponential function about 0:$$e^x=1+x+x^2g(x),$$\noindentwhere $g\in C^{\infty}({\bf R})$. We deduce that\begin{equation}\label{4}(e^x-1)^n=(x+x^2g(x))^n=x^n+x^{n+1}h(x),\end{equation}for some $h\in C^{\infty}({\bf R})$. The L.H.S. of (\ref{4}) is $$\sum_{j=0}^n(-1)^{n-j}{n\choose j}e^{jx}.$$\noindentIts $n$-th derivative is$$\sum_{j=0}^{n}(-1)^{n-j}{n\choose j}j^ne^{jx},$$\noindentwhose value at 0 is $$\sum_{j=1}^{n}(-1)^{n-j}{n\choose j}j^n.$$This is equal to the value of the $n$-th derivative of the R.H.S. of (\ref{4}) at 0, which is $n!$. This completes the proof.\hfill $\Box$\vskip\baselineskip\noindentProposition \ref{p1} admits a different  interpretation in terms of enumerative combinatorics. Fix  an alphabet of $n$ letters. The number $n!$ counts the ways of forming a word of length $n$ using all $n$ letters (i.e., a word having $n$ different letters), whereas $n^n$ is the total number of words of length $n$ (i.e., of all words, including the possibility of repeated letters).  Hence $n^n-n!$ is the number of words of length $n$ containing at least one repeated letter. Thus we can restate Proposition \ref{p1} in the following equivalent form:\begin{proposition} The number of words of length $n$ containing at least one repeated letter from an alphabet of $n$ letters is \begin{equation}\label{5}-\sum_{i=1}^{n-1}(-1)^{n-i}{n\choose i}i^n.\end{equation}\end{proposition}\noindent{\it Proof.}Recall that, for all $i=1,\dots, n-1$, $i^n$ is the number of words of length $n$ which can be formed from a subset of $i$ letters; ${n\choose i}$ is the number of ways of choosing $i$ letters from our alphabet. Hence the product ${n\choose i}i^n$ counts the words of length $n$ containing at most $i$ different letters, but each word is counted more than once. Precisely, in the sum (\ref{5}), for every integer $k$, $1\leq k\leq n-1$, each word containing exactly $k$ letters is counted one time for each $i$-subset containing these $k$ letters. The number of these subsets is equal to the number of ways in which we can pick $i-k$ letters from the remaining $n-k$ letters of the alphabet, i.e., it is equal to ${n-k\choose i-k}$. Therefore, in (\ref{5}), each word with exactly $k$ letters is counted $-\sum_{i=k}^{n-1}(-1)^{n-i}{n-k\choose i-k}$ times in total. Hence the claim is proven once we have shown that\begin{equation}\label{6}-\sum_{i=k}^{n-1}(-1)^{n-i}{n-k\choose i-k}=1.\end{equation}\noindentSetting $j=i-k$ and making a change of indices, the L.H.S. of (\ref{6}) becomes\begin{eqnarray*}-\sum_{j=0}^{n-k-1}(-1)^{n-k-j}{n-k\choose j}&=&-\left(\displaystyle\sum_{j=0}^{n-k}(-1)^{n-k-j}{n-k\choose j}-1\right)\\&=&-\left((1-1)^{n-k}-1\right)=1,\end{eqnarray*}\noindentas was to be shown.\hfill $\Box$\section*{\normalsize References}[1] G.~Boole, Calculus of Finite Differences, (J. F. Moulton, ed.), 4th Edition. Chelsea, New York. (n.d.) \end{document}