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Combinatorial identity

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Hockey-Stick Identity

For n,r\in\mathbb{N}, n>r,\sum^n_{i=r}{i\choose r}={n+1\choose r+1}.

int chew(int n,int r){ int res=1; for(int i=0;i<r;++i){  res=quotient(res*(n-i),i+1);  } return res; }for(int n=0;n<9;+...

This identity is known as the hockey-stick identity because, on Pascal's triangle, when the addends represented in the summation and the sum itself are highlighted, a hockey-stick shape is revealed.


Proof

Inductive Proof

This identity can be proven by induction on n.

Base Case Let n=r.

\sum^n_{i=r}{i\choose r}=\sum^r_{i=r}{i\choose r}={r\choose r}=1={r+1\choose r+1}.

Inductive Step Suppose, for some k\in\mathbb{N}, k>r, \sum^k_{i=r}{i\choose r}={k+1\choose r+1}. Then \sum^{k+1}_{i=r}{i\choose r}=\left(\sum^k_{i=r}{i\choose r}\right)+{k+1\choose r}={k+1\choose r+1}+{k+1\choose r}={k+2\choose....

Algebraic Proof

It can also be proven algebraically with Pascal's Identity, {n \choose k}={n-1\choose k-1}+{n-1\choose k}. Note that

{r \choose r}+{r+1 \choose r}+{r+2 \choose r}+\cdots+{r+a \choose r} ={r+1 \choose r+1}+{r+1 \choose r}+{r+2 \choose r}+\cdots+{r+a \choose r} ={r+2 \choose r+1}+{r+2 \choose r}+\cdots+{r+a \choose r}=\cdots={r+a \choose r-1}+{r+a \choose r}={r+a+1 \choose r+1}, which is equivalent to the desired result.

Combinatorial Proof

Imagine that we are distributing n indistinguishable candies to k distinguishable children. By a direct application of Balls and Urns, there are {n+k-1\choose k-1} ways to do this. Alternatively, we can first give 0\le i\le n candies to the oldest child so that we are essentially giving n-i candies to k-1 kids and again, with Balls and Urns, {n+k-1\choose k-1}=\sum_{i=0}^n{n+k-2-i\choose k-2}, which simplifies to the desired result.

Vandermonde's Identity

Vandermonde's Identity states that \sum_{k=0}^r\binom mk\binom n{r-k}=\binom{m+n}r, which can be proven combinatorially by noting that any combination of r objects from a group of m+n objects must have some 0\le k\le r objects from group m and the remaining from group n.

Another Identity

\sum_{i=0}^k \binom{k}{i}^2=\binom{2k}{k}

Hat Proof

We have 2k different hats. We split them into two groups, each with k hats: then we choose i hats from the first group and k-i hats from the second group. This may be done in \binom{k}{i}^2 ways. Evidently, to generate all possible choices of k hats from the 2k hats, we must choose i=0,1,\cdots,k hats from the first k and the remaining k-i hats from the second k; the sum over all such i is the number of ways of choosing k hats from 2k. Therefore \sum_{i=0}^k \binom{k}{i}^2=\binom{2k}{k}, as desired.

Examples

See also

Want to learn how to tackle those tough AMC/AIME/Olympiad counting and probability problems? Check out Art of Problem Solving's Intermediate Counting & Probability by David Patrick.
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