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Clarke pivot payments: no positive transfers, individual rationality

Proved
AGT.clarke_pivot_properties

by Shuze Chen · Sep 13, 2026 · Mathlib 0df444a (Lean v4.33.1)

auctionsgame-theorymechanism-design

The Clarke pivot rule makes no positive transfers, and is individually rational when valuations are nonnegative (Lemma 9.20 of Algorithmic Game Theory). Let fff be any welfare-maximizing choice rule on the domain, and charge each player the Clarke payment pi(v)=max⁡b∑j≠ivj(b)−∑j≠ivj(f(v))p_i(v) = \max_b \sum_{j\ne i} v_j(b) - \sum_{j\ne i} v_j(f(v))pi​(v)=maxb​∑j=i​vj​(b)−∑j=i​vj​(f(v)) — the externality they impose on the others. Then:

  1. no player is ever paid money: pi(v)≥0p_i(v) \ge 0pi​(v)≥0 on every profile of the domain;
  2. if every valuation in every domain is pointwise nonnegative, every player's utility vi(f(v))−pi(v)v_i(f(v)) - p_i(v)vi​(f(v))−pi​(v) is nonnegative on every profile of the domain.

A note on the hypotheses. AAA is finite and nonempty so the Clarke maximum is attained (Finset.sup'); combined with Theorem 9.17 this yields the standard "VCG with Clarke pivot" mechanism: truthful, individually rational, and never subsidizing.

Preamble
import Definitions.Def_agt_mechanism
Formal statement
namespace AGT

/-- The Clarke pivot rule makes no positive transfers, and is individually
rational when valuations are nonnegative (Lemma 9.20 of *Algorithmic Game
Theory*).  `f` is any welfare-maximizing choice rule on the domain `V`;
with the Clarke payments `pᵢ = max_b ∑_{j≠i} vⱼ(b) − ∑_{j≠i} vⱼ(f(v))`,
every payment is nonnegative, and if every valuation in every domain is
pointwise nonnegative then every player's utility is nonnegative as well.
Finiteness and nonemptiness of `A` make the Clarke maximum attained. -/
theorem clarke_pivot_properties {A ι : Type*} [Fintype ι] [DecidableEq ι]
    [Fintype A] [Nonempty A] (V : ι → Set (A → ℝ))
    (f : (ι → A → ℝ) → A) (hf : MaximizesWelfare V f) :
    NoPositiveTransfers V f (clarkePayment f) ∧
      ((∀ i, ∀ vi ∈ V i, ∀ a, 0 ≤ vi a) →
        IndividuallyRational V f (clarkePayment f)) := 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 9.3.4, Lemma 9.20, pp. 219-220
Read-back

What the Lean code literally says, in plain math · claude-fable-5

Read-back: clarke_pivot_properties

Setting. ι\iotaι is a finite type of agents with decidable equality (possibly empty); AAA is a finite and nonempty type of outcomes. We are given a family V:ι→P(A→R)V : \iota \to \mathcal{P}(A \to \mathbb{R})V:ι→P(A→R) of admissible valuation sets and an outcome rule f:(ι→(A→R))→Af : (\iota \to (A \to \mathbb{R})) \to Af:(ι→(A→R))→A. Call a profile v:ι→(A→R)v : \iota \to (A \to \mathbb{R})v:ι→(A→R) valid if vj∈Vjv_j \in V_jvj​∈Vj​ for all jjj. The payment scheme in the conclusion is not a variable of the theorem: it is the concrete clarkePayment f, defined for each agent iii and every profile vvv (valid or not) by

clarkei(v)  =  max⁡b∈A∑j≠ivj(b)  −  ∑j≠ivj(f(v)),\mathrm{clarke}_i(v) \;=\; \max_{b \in A} \sum_{j \ne i} v_j(b) \;-\; \sum_{j \ne i} v_j\big(f(v)\big),clarkei​(v)=b∈Amax​j=i∑​vj​(b)−j=i∑​vj​(f(v)),

where the maximum is a genuinely attained maximum over the finite nonempty outcome set AAA, and both sums run over all agents other than iii. When ι\iotaι has one element both sums are empty and clarkei(v)=0−0=0\mathrm{clarke}_i(v) = 0 - 0 = 0clarkei​(v)=0−0=0.

Hypothesis. MaximizesWelfare V f: for every valid profile vvv and every outcome a∈Aa \in Aa∈A,

∑i∈ιvi(a)  ≤  ∑i∈ιvi(f(v)).\sum_{i \in \iota} v_i(a) \;\le\; \sum_{i \in \iota} v_i\big(f(v)\big).i∈ι∑​vi​(a)≤i∈ι∑​vi​(f(v)).

This is the only assumption on fff; no incentive property of fff or of any payments is assumed, and nothing at all is assumed about fff on invalid profiles.

Conclusion. The conjunction of two claims:

  1. NoPositiveTransfers V f (clarkePayment f) (a property that, by its definition, ignores its fff-rule argument and constrains only the payments): for every valid profile vvv and every agent iii,
0  ≤  max⁡b∈A∑j≠ivj(b)−∑j≠ivj(f(v)),0 \;\le\; \max_{b \in A} \sum_{j \ne i} v_j(b) - \sum_{j \ne i} v_j\big(f(v)\big),0≤b∈Amax​j=i∑​vj​(b)−j=i∑​vj​(f(v)),

i.e. the Clarke payment of every agent is nonnegative at every valid profile. (Literally a nonnegativity claim about clarkei(v)\mathrm{clarke}_i(v)clarkei​(v); despite the name, no other notion of "transfer" appears.)

  1. A conditional individual-rationality claim. If every admissible valuation is pointwise nonnegative — that is, for every agent iii, every vi′∈Viv_i' \in V_ivi′​∈Vi​, and every outcome a∈Aa \in Aa∈A, 0≤vi′(a)0 \le v_i'(a)0≤vi′​(a) — then IndividuallyRational V f (clarkePayment f) holds: for every valid profile vvv and every agent iii,
0  ≤  vi(f(v))−(max⁡b∈A∑j≠ivj(b)−∑j≠ivj(f(v))),0 \;\le\; v_i\big(f(v)\big) - \Big(\max_{b \in A} \sum_{j \ne i} v_j(b) - \sum_{j \ne i} v_j\big(f(v)\big)\Big),0≤vi​(f(v))−(b∈Amax​j=i∑​vj​(b)−j=i∑​vj​(f(v))),

i.e. each agent's value for the chosen outcome minus their Clarke payment is nonnegative, at every valid profile. The nonnegativity hypothesis quantifies over all members of every ViV_iVi​ and all outcomes, not only over the coordinates of some particular profile.

Degenerate cases the quantifiers include. If ι\iotaι is empty, or some VjV_jVj​ is empty (so there are no valid profiles), both conclusions hold vacuously, and the welfare hypothesis is likewise vacuous. If some ViV_iVi​ is empty, the nonnegativity hypothesis of clause 2 is also vacuously satisfiable for that agent. Both conclusions are stated only at valid profiles and only with the specific Clarke payments displayed above; no incentive-compatibility statement is made anywhere in this theorem, and clause 2 is an implication only (nothing is claimed when some admissible valuation takes a negative value).

Human review
  • Endorsed by Community (Bot) · Sep 13, 2026

  • Endorsed by Shuze Chen · Sep 13, 2026

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

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