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The Gibbard-Satterthwaite theorem

Proved
AGT.gibbard_satterthwaite

by Shuze Chen · Sep 12, 2026 · Mathlib c5ea003 (Lean v4.30.0)

game-theorymechanism-designsocial-choice

Every incentive compatible voting rule onto three or more alternatives is a dictatorship — the Gibbard–Satterthwaite theorem (Theorem 9.8 of Algorithmic Game Theory), and this mission's goal. Let AAA have more than two alternatives, finitely many voters, and let fff be a social choice function that is incentive compatible — no voter can move the outcome to one they strictly prefer by misreporting — and onto AAA — every alternative is elected on some profile. Then fff is a dictatorship: some voter iii is such that whenever an alternative is iii's unique top choice, fff elects it.

A note on the hypotheses. Ontoness is essential, as the book stresses — without it the bound on ∣A∣|A|∣A∣ has no bite (an incentive compatible function into a fixed pair of alternatives need not have a dictator). No nonemptiness of the voter set is assumed: with zero voters an onto function onto three or more alternatives cannot exist, so the statement holds vacuously, and adding the hypothesis would only weaken the theorem. The book derives the result from Arrow's theorem through the top-set extension (Definition 9.9, Lemmas 9.10–9.11); the formal statement fixes no proof route.

Preamble
import Definitions.Def_agt_social
Formal statement
namespace AGT

/-- **Theorem 9.8 of *Algorithmic Game Theory* (Gibbard–Satterthwaite)**,
the capstone of the mission: every incentive compatible social choice
function onto more than two alternatives is a dictatorship.

The ontoness requirement is essential — without it the bound on `|A|` has no
bite (a function into a fixed pair of alternatives can be incentive
compatible without any dictator).  No `Nonempty ι` hypothesis is needed:
with no voters an onto function onto three or more alternatives cannot
exist, so the statement holds vacuously. -/
theorem gibbard_satterthwaite {A ι : Type*} [Fintype A] [Fintype ι]
    [DecidableEq ι] (hA : 2 < Fintype.card A)
    (f : (ι → A → A → Prop) → A) (hic : IncentiveCompatible f)
    (honto : SCFOnto f) :
    ∃ i : ι, SCFDictator f i := by
  sorry

end AGT
Source
N. Nisan, T. Roughgarden, E. Tardos, V. V. Vazirani (eds.), Algorithmic Game Theory, Cambridge University Press 2007, https://doi.org/10.1017/CBO9780511800481, Section 9.2.4, Theorem 9.8, pp. 214-215
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What the Lean code literally says, in plain math · claude-fable-5

Read-back: gibbard_satterthwaite

Setting

Let AAA and ι\iotaι be arbitrary types, both assumed finite (each carries a Fintype instance), with equality on ι\iotaι decidable. Elements of AAA play the role of alternatives; elements of ι\iotaι play the role of voters. There is one explicit cardinality hypothesis:

2<∣A∣,2 < |A|,2<∣A∣,

i.e. AAA has at least three elements. No cardinality assumption is made on ι\iotaι: the statement's hypotheses admit ι\iotaι empty, a single voter, or any finite number of voters.

A ballot is any binary relation rrr on AAA (a function A→A→PropA \to A \to \mathrm{Prop}A→A→Prop, i.e. an arbitrary relation — not a priori an order of any kind). A profile is any function PPP assigning to each voter iii a relation PiP_iPi​ on AAA. Write Pi(a,b)P_i(a,b)Pi​(a,b) for the statement that the relation PiP_iPi​ holds of the pair (a,b)(a,b)(a,b); the code attaches no intrinsic meaning ("prefers", "above") to this — it is just a binary relation.

The predicate "PPP is a preference profile" (IsPrefProfile P) unfolds to: for every voter iii, the relation PiP_iPi​ is a strict total order on AAA, where "strict total order" is Mathlib's IsStrictTotalOrder: PiP_iPi​ is irreflexive (¬Pi(a,a)\neg P_i(a,a)¬Pi​(a,a) for all aaa), transitive, and trichotomous (for all a,ba, ba,b: Pi(a,b)P_i(a,b)Pi​(a,b) or a=ba = ba=b or Pi(b,a)P_i(b,a)Pi​(b,a)).

The object under study is a function

f:(profiles)→A,f : (\text{profiles}) \to A,f:(profiles)→A,

defined on all functions ι→(A→A→Prop)\iota \to (A \to A \to \mathrm{Prop})ι→(A→A→Prop) — including profiles whose component relations are not strict total orders, or are not orders at all. The hypotheses below constrain fff only on (or via) profiles built from strict total orders; on arbitrary relation-profiles fff may take any value.

For a profile PPP, a voter iii, and a relation r′r'r′, write P[i↦r′]P[i \mapsto r']P[i↦r′] for the profile that agrees with PPP at every voter except iii, where it is r′r'r′ (this is Function.update). When PPP is a preference profile and r′r'r′ is a strict total order, P[i↦r′]P[i \mapsto r']P[i↦r′] is again a preference profile, though the statement never needs to say so explicitly.

Hypotheses on fff

Hypothesis 1 — IncentiveCompatible f, unfolded: for every profile PPP such that every PiP_iPi​ is a strict total order, for every voter iii, and for every relation r′r'r′ on AAA that is itself a strict total order,

¬ Pi( f(P[i↦r′]),  f(P) ).\neg\, P_i\bigl(\, f(P[i \mapsto r']),\; f(P) \,\bigr).¬Pi​(f(P[i↦r′]),f(P)).

In words: the relation PiP_iPi​ (voter iii's relation in the original profile) does not hold of the pair whose first component is the outcome of fff on the deviated profile P[i↦r′]P[i \mapsto r']P[i↦r′] and whose second component is the outcome of fff on the original profile PPP. Note the precise shape: this is a plain negation, quantified only over deviations r′r'r′ that are strict total orders (deviations to non-order relations are unconstrained), and it constrains the pair in one direction only — nothing is asserted about Pi(f(P),f(P[i↦r′]))P_i\bigl(f(P), f(P[i \mapsto r'])\bigr)Pi​(f(P),f(P[i↦r′])) beyond what trichotomy of PiP_iPi​ would give. In particular, taking r′=Pir' = P_ir′=Pi​ the hypothesis yields ¬Pi(f(P),f(P))\neg P_i(f(P), f(P))¬Pi​(f(P),f(P)), which is automatic from irreflexivity.

Hypothesis 2 — SCFOnto f, unfolded: for every alternative a∈Aa \in Aa∈A there exists a profile PPP such that every PiP_iPi​ is a strict total order and f(P)=af(P) = af(P)=a. That is, fff attains every element of AAA already on preference profiles (attaining values on non-order profiles does not count toward this hypothesis).

Conclusion

There exists a voter i∈ιi \in \iotai∈ι such that SCFDictator f i holds, which unfolds to: for every profile PPP in which every voter's relation is a strict total order, and for every alternative aaa,

(∀ b≠a,  Pi(a,b))  ⟹  f(P)=a.\Bigl(\forall\, b \neq a,\; P_i(a, b)\Bigr) \;\Longrightarrow\; f(P) = a.(∀b=a,Pi​(a,b))⟹f(P)=a.

In words: whenever alternative aaa is PiP_iPi​-related to every other alternative — i.e. aaa is the (necessarily unique, by irreflexivity) element that relation PiP_iPi​ places above all others, which for a strict total order on a nonempty finite AAA always exists — the outcome is aaa. Note this dictatorship notion says nothing directly about pairwise comparisons or about profiles that are not preference profiles; it is stated purely as an implication, one profile at a time, from "aaa dominates everything else under PiP_iPi​" to "fff selects aaa". The existential is a plain ∃\exists∃, not unique existence: nothing asserts the dictator is unique.

Edge cases the quantifiers silently include

  • Zero voters. Fintype ι permits ι=∅\iota = \emptysetι=∅. Then there is exactly one profile (the empty function), it is vacuously a preference profile, and incentive compatibility is vacuously true. But ontoness then demands that a single value f(P)f(P)f(P) equal every one of the ≥3\geq 3≥3 alternatives, which is impossible; so with zero voters the hypotheses are contradictory and the conclusion ∃i∈∅,…\exists i \in \emptyset, \ldots∃i∈∅,… (which would otherwise be false) holds vacuously. The theorem therefore implicitly asserts that its hypotheses force ι\iotaι to be nonempty.
  • One voter. ∣ι∣=1|\iota| = 1∣ι∣=1 is allowed and non-degenerate: the claim then says that single voter is a dictator.
  • ∣A∣=3|A| = 3∣A∣=3 exactly is allowed (2<∣A∣2 < |A|2<∣A∣ is strict); ∣A∣≤2|A| \le 2∣A∣≤2 is excluded by hypothesis, and AAA empty or a singleton is likewise excluded.
  • Totality of fff. Since fff is total on all relation-profiles, its values on "junk" inputs (non-order relations) exist but are never constrained or consulted by any hypothesis or by the conclusion.
  • All three properties — incentive compatibility, ontoness, dictatorship — quantify only over profiles of strict total orders; ties/indifference are not representable within the constrained inputs, and no hypothesis mentions them.
Human review
  • Endorsed by Community (Bot) · Sep 12, 2026

  • Endorsed by Shuze Chen · Sep 12, 2026

    Confirmed by the mission captain (proposal self-audit).

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