Simplify a combinatorial expression I came a cross a kind of combinatorial expression in my research. I'm wondering if there is a way to simplify or rewrite it. The expression is pretty simple. So I'm posting it here instead of MO. It is the following.
$\displaystyle \sum\limits_{i=0}^n (-1)^i{n \choose i} {x-i \choose l}, $
where in my case $x,l$ are some positive integers. It's not hard to show when $l< n$, the expression is $0$. But I would like to know about any possible formula for $l\geq n$. I tried to search in some combinatorial identity book. There are a lot of similar expressions, but none of the identities seems to apply. Any idea or answers will be greatly appreciated.

Just to show another way to solve it. 
The backward Delta (finite difference) is defined as
$$
\eqalign{
  & \nabla _{\,x} \,f(x) = f(x) - f(x - 1)  \cr 
  & \nabla _{\,x} ^n \,f(x) = \nabla _{\,x} \,\left( {\nabla _{\,x} ^{n - 1} \,f(x)} \right) = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^k \left( \matrix{
  n \cr 
  k \cr}  \right)\;f(x - k)}  \cr} 
$$
So
$$
\sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^k \left( \matrix{
  n \cr 
  k \cr}  \right)\;\left( \matrix{
  x - k \cr 
  l \cr}  \right)}  = \nabla _{\,x} ^n \,\left( \matrix{
  x \cr 
  l \cr}  \right) = \nabla _{\,x} ^n \,{{x^{\,\underline {\,l\,} } } \over {l!}} = {1 \over {l!}}\nabla _{\,x} ^n \,x^{\,\underline {\,l\,} } 
$$
where $x^{\,\underline {\,l\,}} $ is the Falling Factorial
It is easy to demonstrate that
$$
\eqalign{
  & \nabla _{\,x} \;x^{\,\underline {\,l\,} }  = x^{\,\underline {\,l\,} }  - \left( {x - 1} \right)^{\,\underline {\,l\,} }  = l\left( {x - 1} \right)^{\,\underline {\,l - 1\,} }   \cr 
  & \nabla _{\,x} ^n \,x^{\,\underline {\,l\,} }  = l^{\,\underline {\,n\,} } \left( {x - n} \right)^{\,\underline {\,l - n\,} }  \cr} 
$$
and therefore
$$
\eqalign{
  & \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^k \left( \matrix{
  n \cr 
  k \cr}  \right)\;\left( \matrix{
  x - k \cr 
  l \cr}  \right)}  = \nabla _{\,x} ^n \,\left( \matrix{
  x \cr 
  l \cr}  \right) = {1 \over {l!}}\nabla _{\,x} ^n \,x^{\,\underline {\,l\,} }  =   \cr 
  &  = {1 \over {l!}}l^{\,\underline {\,n\,} } \left( {x - n} \right)^{\,\underline {\,l - n\,} }  = {1 \over {\left( {l - n} \right)!}}\left( {x - n} \right)^{\,\underline {\,l - n\,} }  = \left( \matrix{
  x - n \cr 
  l - n \cr}  \right) \cr} 
$$
which is valid for $x$ integer, but also real or even complex.
By the way, it might be interesting to note that the Binomial Inversion also assures you that the reverse
of the above is true, i.e.
$$
\sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^k \left( \matrix{
  n \cr 
  k \cr}  \right)\;\left( \matrix{
  x - k \cr 
  l \cr}  \right)}  = \left( \matrix{
  x - n \cr 
  l - n \cr}  \right)\quad  \Leftrightarrow \quad \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^k \left( \matrix{
  n \cr 
  k \cr}  \right)\;\left( \matrix{
  x - k \cr 
  l - k \cr}  \right)}  = \left( \matrix{
  x - n \cr 
  l \cr}  \right)
$$
