In the identity $$\frac {n!}{x(x+1)(x+2)...(x+n)} = \sum ^n_{k=0}\frac {A_k}{x+k} $$
Prove that $$A_k =(-1)^{k}\:\cdot\: ^{n}C_k$$
Also from this deduce that,
$$ \;^{n}C_0\frac 1{1.2} - \:^{n}C_1\frac1{2.3} +\; ^{n}C_2\frac1{3.4} \; ... \;{(-1)^n}\; ^{n}C_n\frac1{(n+1)(n+2)}\;=\frac1{(n+2)}$$
So I have to tried to use the binomial theorem on,
$(b-a)^n$, and then multiplied both sides by $a^{x-1}$.
Now I integrated both sides with respect to $a$. This gives me the binomially expanded side as same as the right hand side of the identity that we have to prove when I substitute $a=1$. I dont know how to integrate $a^{x-1}\;(b-a)^n$ with respect to $a$. I am not able to prove the identity and solve the deduction. Can someone please help me out ? Thanks a lot.
There are many ways to demonstrate such an interesting identity.
a) Induction
I do not know at what level you are, so let's start with what should be the simpler: Induction
Given the thesis $$ F(x,n) = {{n!} \over {x\left( {x + 1} \right) \cdots \left( {x + n} \right)}} = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} { \left( { - 1} \right)^{\,k} \binom{n}{k}{1 \over {x + k}}} $$
for $n=0$ it is true for whichever value of $x$ different from $0$ $$ n = 0\quad \Rightarrow \quad F(x,0) = {1 \over x} = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^{\,0} \binom{0}{k}{1 \over {x + k}}} = {1 \over x}\;:\;TRUE $$
for $n+1$ the LHS is $$ \eqalign{ & F(x,n + 1) = {{\left( {n + 1} \right)!} \over {x\left( {x + 1} \right) \cdots \left( {x + n} \right)\left( {x + n + 1} \right)}} = \cr & = {{\left( {x + n + 1 - x} \right)n!} \over {x\left( {x + 1} \right) \cdots \left( {x + n} \right)\left( {x + n + 1} \right)}} = \cr & = {{n!} \over {x\left( {x + 1} \right) \cdots \left( {x + n} \right)}} - {{n!} \over {\left( {x + 1} \right) \cdots \left( {x + n} \right)\left( {x + n + 1} \right)}} = \cr & = F(x,n) - F(x + 1,n) \cr} $$ the same as the RHS $$ \eqalign{ & F(x,n + 1) = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^{\,k} \binom{n+1}{k}{1 \over {x + k}}} = \cr & = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^{\,k} \binom{n}{k}{1 \over {x + k}}} + \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^{\,k} \binom{n}{k-1}{1 \over {x + k}}} = \cr & = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^{\,k} \binom{n}{k}{1 \over {x + k}}} - \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^{\,k - 1} \binom{n}{k-1}{1 \over {x + 1 + k - 1}}} = \cr & = F(x,n) - F(x + 1,n) \cr} $$
and the thesis is demonstrated.
b) Finite Difference
Writing the Forward Difference of the function $f(x)$ wrt to the variable $x$ as $$ \Delta _{\,x} \,f(x) = f(x + 1) - f(x) $$ its iteration gives $$ \Delta _{\,x} ^{\,n} \,f(x) = \Delta _{\,x} \,\left( {\Delta _{\,x} ^{\,n - 1} f(x)} \right) = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} { \left( { - 1} \right)^{\,n - k} \binom{n}{k}f(x + k)} $$
So $$ F(x,n) = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^{\,k} \binom{n}{k}{1 \over {x + k}}} = \left( { - 1} \right)^{\,n} \Delta _{\,x} ^{\,n} \,\left( {{1 \over x}} \right) $$
We can easily see that $$ \eqalign{ & \Delta _{\,x} ^{\,0} \,\left( {{1 \over x}} \right)\mathop \equiv \limits^{def} {1 \over x} \cr & \Delta _{\,x} ^{\,1} \,\left( {{1 \over x}} \right) = {1 \over {x + 1}} - {1 \over x} = {{\left( { - 1} \right)} \over {x\left( {x + 1} \right)}} \cr & \Delta _{\,x} ^{\,2} \,\left( {{1 \over x}} \right) = - {1 \over {\left( {x + 1} \right)\left( {x + 2} \right)}} + {1 \over {x\left( {x + 1} \right)}} = {{\left( { - 1} \right)\left( { - 2} \right)} \over {x\left( {x + 1} \right)\left( {x + 2} \right)}} \cr & \quad \quad \vdots \cr & \Delta _{\,x} ^{\,n} \,\left( {{1 \over x}} \right) = {{\left( { - 1} \right)^{\,n} n!} \over {x\left( {x + 1} \right) \cdots \left( {x + n} \right)}} \cr} $$ and that demontrates the thesis.
c) Falling / Rising Factorials
For a more general approach, it's advisable to resort to the properties of the Rising and Falling Factorials, in order that we can write $$ {{n!} \over {x\left( {x + 1} \right) \cdots \left( {x + n} \right)}} = {{n!} \over {x^{\,\overline {\,n + 1\,} } }} = n!\;\left( {x - 1} \right)^{\,\underline {\, - \,\left( {n + 1} \right)} } $$ where $x^{\,\underline {\,k\,} } ,\quad x^{\,\overline {\,k\,} } $ represent respectively the Falling and Rising Factorial.
One of the basic properties of the falling factorial is that its Delta resembles the rule of differentiation of "normal" powers $$ \Delta _{\,x} \;x^{\,\underline {\,n\,} } = \left( {x + 1} \right)^{\,\underline {\,n\,} } - x^{\,\underline {\,n\,} } = nx^{\,\underline {\,n - 1\,} } $$
Therefore one automatically derives that $$ \bbox[lightyellow] { \eqalign{ & F(x,n) = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^{\,k} \binom{n}{k}{1 \over {x + k}}} = \left( { - 1} \right)^{\,n} \Delta _{\,x} ^{\,n} \,\left( {{1 \over x}} \right) = \cr & = \left( { - 1} \right)^{\,n} \Delta _{\,x} ^{\,n} \,\left( {\left( {x - 1} \right)^{\,\underline {\, - \,1} } } \right) = \left( { - 1} \right)^{\,n} \Delta _{\,x - 1} ^{\,n} \,\left( {\left( {x - 1} \right)^{\,\underline {\, - \,1} } } \right) = \cr & = \left( { - 1} \right)^{\,n} \left( { - 1} \right)\left( { - 2} \right) \cdots \left( { - n} \right)\left( {x - 1} \right)^{\,\underline {\, - 1 - \,n\;} } = \cr & = \left( { - 1} \right)^{\,n} \left( { - 1} \right)^{\,\underline {\,\,n\;} } \left( {x - 1} \right)^{\,\underline {\, - 1 - \,n\,} } = 1^{\,\overline {\,n\,} } \left( {x - 1} \right)^{\,\underline {\, - 1 - \,n\,} } = {{n!} \over {x^{\,\overline {\,n + 1\,} } }} \cr} }$$
Also, the second part of your question is easily solved as $$ \eqalign{ & G(n) = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} { \left( { - 1} \right)^{\,k} \binom{n}{k}{1 \over {\left( {k + 1} \right)\left( {k + 2} \right)}}} = \cr & = \left. {\sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} { \left( { - 1} \right)^{\,k} \binom{n}{k} {1 \over {\left( {x + k} \right)\left( {x + 1 + k} \right)}}\;} } \right|_{\,x\, = \,1} = \cr & = \left. {G(x,n)} \right|_{\,x\, = \,1} \cr} $$ therefore $$ \bbox[lightyellow] { \eqalign{ & G(x,n) = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^{\,k} \binom{n}{k} {1 \over {\left( {x + k} \right)\left( {x + 1 + k} \right)}}\;} = \cr & = \left( { - 1} \right)^{\,n} \Delta _{\,x} ^{\,n} \left( {{1 \over {\left( x \right)\left( {x + 1} \right)}}} \right) = \left( { - 1} \right)^{\,n} \Delta _{\,x} ^{\,n} \left( {{1 \over {x^{\,\overline {\,2\,} } }}} \right) = \cr & = \left( { - 1} \right)^{\,n} \Delta _{\,x} ^{\,n} \left( {x - 1} \right)^{\,\underline {\, - 2\,} } = \left( { - 1} \right)^{\,n} \left( { - 2} \right)^{\,\underline {\,n\,} } \left( {x - 1} \right)^{\,\underline {\, - 2 - n\,} } = \cr & = {{2^{\,\overline {\,n\,} } } \over {x^{\,\overline {\,n + 2\,} } }} = {{\left( {n + 1} \right)!} \over {x^{\,\overline {\,n + 2\,} } }}\quad \Rightarrow \cr & \Rightarrow \quad G(1,n) = {{\left( {n + 1} \right)!} \over {1^{\,\overline {\,n + 2\,} } }} = {{\left( {n + 1} \right)!} \over {\left( {n + 2} \right)!}} = {1 \over {\left( {n + 2} \right)}} \cr} }$$
Finally, it is surely interesting to point out that the Inversion property of the Binomial Convolution implies $$ f(n) = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^{\,k} \binom{n}{k}g(k)} \quad \Leftrightarrow \quad g(n) = \sum\limits_{\left( {0\, \le } \right)\,k\,\left( { \le \,n} \right)} {\left( { - 1} \right)^{\,k} \binom{n}{k}f(k)} $$