QED
Combinatorics · step 8 of 13

Double counting & bijective proofs

A double counting proof counts the same collection in two different ways and equates the answers — no algebra required. A bijective proof instead constructs an explicit one-to-one correspondence between two sets, proving they are equal in size. Both give real insight where an algebraic manipulation only gives verification.

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Method: how to approach it

The order below is what examiners expect to see, and each step carries its own marks.

  1. Choose the set to countThe identity tells you what: for ΣC(n,k) = 2ⁿ, count all subsets of an n-set.
  2. Count it one wayDirectly — every element is in or out, so 2ⁿ.
  3. Count it another wayBy classifying — group subsets by size, giving ΣC(n,k).
  4. For a bijection, describe the map and its inverseState the map, show it is well defined, and give the inverse explicitly. Both directions are needed.

Worked example

Prove C(n,k) = C(n, n−k) bijectively.

  1. Left side counts the k-element subsets of an n-set S.
  2. Right side counts the (n−k)-element subsets.
  3. Define a map sending each k-subset A to its complement S \ A, which has n − k elements.
  4. The map is its own inverse: complementing twice returns A. So it is a bijection.

Answer. Complementation is a bijection between the two families, so C(n,k) = C(n,n−k) — no algebra needed.

Where marks get dropped

These are the specific errors that cost credit on double counting & bijective proofs questions — QED's rubric penalises each of them separately.

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Double counting & bijective proofs — frequently asked questions

What is the handshake lemma as double counting?

Count edge-endpoints two ways: once per edge (2 each) and once per vertex (its degree). Equating gives Σdeg = 2|E|.

Why prefer a bijective proof?

Because it explains WHY the identity holds. An algebraic verification confirms it; a bijection shows the two sides are literally the same objects relabelled.

How do I prove Pascal’s identity this way?

Count k-subsets of {1,…,n} by whether they contain n. Those that do correspond to (k−1)-subsets of the rest; those that do not are k-subsets of the rest.

The rest of Combinatorics

Counting principles, permutations, combinations. Each subtopic below has its own method, worked example and mark-losing traps.

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