Vandermonde's Convolution
Introduction
Vandermonde's convolution is a formula for combining binomial coefficients, primarily used in the derivation of combinatorial mathematics formulas.
Vandermonde's Convolution Formula
Proof
Consider proving using the binomial theorem:
Thus we have:
Alternatively, consider a combinatorial proof:
Choosing \(k\) elements from a set of size \(n+m\) is equivalent to splitting the set of size \(n+m\) into two subsets of sizes \(n\) and \(m\), then choosing \(i\) elements from the subset of size \(n\) and \(k-i\) elements from the subset of size \(m\). Since we sum over all \(i\), we only need to consider one way of splitting, as different splits are equivalent.
Corollaries
Corollary 1 and Proof
The proof is similar to that of the original formula.
Corollary 2 and Proof
Derived from basic combinatorial knowledge:
Corollary 3 and Proof
Derived from basic combinatorial knowledge:
Corollary 4 and Proof
Derived from basic combinatorial knowledge:
Here, \(\binom{n+m}{m}\) is the familiar number of paths in a grid graph. Thus, we can consider a combinatorial proof.
In a grid graph, moving from \((0,0)\) to \((n,m)\) takes \(n+m\) steps. Let \((0,0)\) be the top-left corner, with \(n\) steps down and \(m\) steps right. The number of paths is \(\binom{n+m}{m}\).
From another perspective, split the \(n+m\) steps into two parts: first take \(n\) steps, then take \(m\) steps. If among the first \(n\) steps, \(i\) steps are to the right, then among the next \(m\) steps, \(m-i\) steps are to the right. This completes the proof.
Exercises
References and Notes
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