Binomial identity and probability

The identity
[tex]\displaystyle \sum k \binom{n}{k} = n 2^{n-1} [/tex]
is pretty standard, and one can prove it algebraically by cancelling the k in the sum with the binomial coefficient and then using the binomial theorem summation or a combinatorial proof that goes like this.
Choose a k element committee with from n members with one of the comittee member being made the chairperson.

A third proof using probability goes like this. First divide throughout by [tex]2^n[/tex]. Next consider tossing n fair coins with probability [tex]p=\frac{1}{2}[/tex] of turning up heads or tails. The expected number of heads is [tex]\frac{n}{2}[/tex]. On the other hand, the probability of having exactly k heads (and hence n-k tails) is [tex]\binom{n}{k} (p)^k (1-p)^{n-k}[/tex].
Thus the expected value is
[tex] \displaystyle \sum k \binom{n}{k} (\frac{1}{2})^{n}= \frac{n}{2}. [/tex]

From a probabilistic point of view, it could very well be the fact that one proves the expected value of is np by using the identity so this third proof isn’t really a proof but a nice application.

This entry was posted in Combinatorics, Probability. Bookmark the permalink.

Leave a Reply

Your email address will not be published.

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>