Generating function

Revision as of 19:13, 4 August 2006 by ComplexZeta (talk | contribs) (generatings functions are power series, not polynomials in general)

The idea behind generating functions is to represent a combinatorial function $A(k)$ in terms of a power series which is equivalent for all purposes. This function is $A(0)+A(1)x+A(2)x^2+A(3)x^3+\cdots$, where the coefficient $A(k)$ of $x^k$ is the number of ways an event $\displaystyle{k}$ can occur.

Simple Example

If we let $A(k)={n \choose k}$, then we have ${n \choose 0}+{n \choose 1}x + {n \choose 2}x^2+\cdots+$${n \choose n}x^n$.

This function can be described as the number of ways we can get $\displaystyle{k}$ heads when flipping $n$ different coins.

The reason to go to such lengths is that our above polynomial is equal to $(1+x)^n$ (which is clearly seen due to the Binomial Theorem). By using this equation, we can rapidly uncover identities such as ${n \choose 0}+{n \choose 1}+...+{n \choose n}=2^n$(let ${x}=1$), also ${n \choose 1}+{n \choose 3}+\cdots={n \choose 0}+{n \choose 2}+\cdots$.

See also