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ExampleConstruction: AI-generatedVerification: AI-generatedSession-authored (Fable 5 assisted)precheck passjudge pass (z-ai/glm-5.2)audited 2026-07-29
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Choosing a committee: (103)=120\binom{10}{3} = 120, and the ordered count 103=72010^{\underline{3}} = 720

Example

Let PP be a set with P=10\lvert P\rvert = 10. Two different sets are counted, and naming which is which is the whole discipline of the example.

  • The unordered selections of three members of PP are the elements of [P]3[P]^{3}, and there are (103)=120\binom{10}{3} = 120 of them.
  • The ordered selections of three distinct members, that is the injections 3P3 \to P, number 103=72010^{\underline{3}} = 720.

The ratio of the two counts is 3!=63! = 6, which is clause 1 of (nk)k!(nk)!=n!\binom{n}{k}\,k!\,(n-k)! = n! for knk \le n; hence (nk)k!=nk\binom{n}{k}\,k! = n^{\underline{k}}, the quotient n!/(k!(nk)!)n!/(k!(n-k)!) is a natural number, and (nk)=(nnk)\binom{n}{k} = \binom{n}{n-k} seen concretely: each 33-element subset arises from exactly 3!3! ordered selections.

Facts & Assumptions

Given: A set PP with P=10\lvert P\rvert = 10, and the factorials 3!=63! = 6, 7!=50407! = 5040, 10!=362880010! = 3628800 (The factorial n!n! and the falling factorial nkn^{\underline{k}}, defined by recursion in N\mathbb{N}).

[L3]

The number of injections of a kk-element set into an nn-element set is nkn^{\underline{k}} (The number of injections from a kk-element set into an nn-element set is nkn^{\underline{k}}).

[L4]

n0=1n^{\underline{0}} = 1 and nσ(k)=nk(nk)n^{\underline{\sigma(k)}} = n^{\underline{k}}(n-k) (The factorial n!n! and the falling factorial nkn^{\underline{k}}, defined by recursion in N\mathbb{N}).

Verification

technique · direct
1.1

The two sets are [P]3[P]^{3}, whose elements are the 33-element subsets of PP, and Inj(3,P)\operatorname{Inj}(3,P), whose elements are the injective functions from 3={0,1,2}3 = \{0,1,2\} into PP. They are different sets, and each count below is stated for the set it counts.

givenL1L3
2.1

The unordered count. By [L2] with n=10n = 10, k=3k = 3, (103)3!7!=10!\binom{10}{3}\cdot 3!\cdot 7! = 10!, that is (103)65040=3628800\binom{10}{3}\cdot 6 \cdot 5040 = 3628800, so (103)30240=3628800\binom{10}{3}\cdot 30240 = 3628800 and (103)=120\binom{10}{3} = 120. By [L1] the set [P]3[P]^{3} has 120120 elements.

step 1.1L1L2
2.2

The ordered count. By [L4], 101=110=1010^{\underline{1}} = 1 \cdot 10 = 10, 102=109=9010^{\underline{2}} = 10\cdot 9 = 90 and 103=908=72010^{\underline{3}} = 90 \cdot 8 = 720. By [L3] the set Inj(3,P)\operatorname{Inj}(3,P) has 720720 elements.

step 1.1L3L4
3.1

The two counts are related as clause 1 of [L2] says: (103)3!=1206=720=103\binom{10}{3}\cdot 3! = 120 \cdot 6 = 720 = 10^{\underline{3}}. Each 33-element subset of PP is the image of exactly 3!=63! = 6 injections 3P3 \to P, so passing from the ordered to the unordered count divides by 66.

step 2.1step 2.2L2

Remarks

  • The standard error is to count one set and name the other. "How many ways can a committee of three be chosen from ten people" is the count of [P]3[P]^{3} only if the committee is unordered; if the three roles are distinguished it is the count of Inj(3,P)\operatorname{Inj}(3,P). The two differ by a factor of 66, and no computation can decide which was meant.

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