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Vandermonde's Identity (Convolution of Binomial Coefficients)

A sum of products of binomials whose lower indices add to a constant collapses to a single binomial: the inner indices telescope into one combined choose.

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The identity

Whenever you meet a sum of products of two binomial coefficients in which the two lower indices always add up to the same fixed number nn, the whole sum collapses to a single binomial. This is Vandermonde's identity:

∑k=0n(mk)(p n−k )=(m+pn).\sum_{k=0}^{n}\binom{m}{k}\binom{p}{\,n-k\,}=\binom{m+p}{n}.

The pattern to recognize: in every term the top numbers m,pm,p are fixed, while the bottom numbers are kk and n−kn-k — they slide but always sum to nn. Such a sum is a convolution of the two binomial rows, and the answer is just the binomial of the summed tops choose the common bottom.

Why it holds (combinatorial proof)

To choose nn objects from a combined set of m+pm+p items, first split the items into a group of mm and a group of pp. Any selection takes some number kk from the first group and the remaining n−kn-k from the second; there are (mk)(pn−k)\binom{m}{k}\binom{p}{n-k} ways to do that for a fixed kk. Summing over all admissible kk counts every nn-subset exactly once, so the total equals (m+pn)\binom{m+p}{n}. (Terms with k>mk>m or n−k>pn-k>p are automatically 00, so the range 0≤k≤n0\le k\le n is safe.)

How to apply (recipe)

  1. Spot the shape. Confirm the summand is (mk)(pn−k)\binom{m}{k}\binom{p}{n-k} with m,p,nm,p,n constant and the lower indices summing to nn.
  2. Read off m+pm+p and nn. The two top numbers add; the common bottom nn stays.
  3. Replace the sum by (m+pn)\binom{m+p}{n}.
  4. Evaluate that single binomial.

Useful special case (the central identity)

Set m=p=nm=p=n and use (nn−k)=(nk)\binom{n}{n-k}=\binom{n}{k}:

∑k=0n(nk)2=(2nn).\sum_{k=0}^{n}\binom{n}{k}^{2}=\binom{2n}{n}.

Worked mini-example

Evaluate ∑k=04(5k)(3 4−k )\displaystyle\sum_{k=0}^{4}\binom{5}{k}\binom{3}{\,4-k\,}.

Here the tops are m=5m=5 and p=3p=3, and the common bottom is n=4n=4. By the identity,

∑k=04(5k)(34−k)=(5+34)=(84)=70.\sum_{k=0}^{4}\binom{5}{k}\binom{3}{4-k}=\binom{5+3}{4}=\binom{8}{4}=70.

No term-by-term grind needed — recognizing the convolution turns a four-term sum into one lookup.

Exam trick: The lower indices must sum to a constant. If a term reads (mk)(pn−k)\binom{m}{k}\binom{p}{n-k}, you are done — add the tops, keep the bottom. Watch for the disguised central case ∑k(nk)2=(2nn)\sum_k\binom{n}{k}^2=\binom{2n}{n} (one factor is rewritten via (nk)=(nn−k)\binom{n}{k}=\binom{n}{n-k}), and remember out-of-range binomials are 00, so a stated range like k=0..nk=0..n never overcounts.

فرمول‌های کلیدی

Vandermonde's identity
∑k=0n(mk)(pn−k)=(m+pn)\sum_{k=0}^{n}\binom{m}{k}\binom{p}{n-k}=\binom{m+p}{n}

Convolution of two binomial rows whose lower indices sum to the fixed n collapses to choosing n from the combined m+p items.

Central (squares) case
∑k=0n(nk)2=(2nn)\sum_{k=0}^{n}\binom{n}{k}^{2}=\binom{2n}{n}

Take m=p=n and use binom(n,n-k)=binom(n,k); the sum of squared binomials in row n equals the central binomial coefficient.

#combinatorics#binomial-coefficients#vandermonde-identity#convolution#combinatorial-identity#double-counting

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