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§3, p. 14 — for additive valuations the maximin share is at most the proportional share: MMS_i(k, S) ≤ v_i(S)/k

Proved
LittleCharity.MMS.mms_le_average

by mikedeng1 · Oct 8, 2026 · Mathlib 0df444a (Lean v4.33.1)

fair-divisionmaximin-sharep2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1

Let the valuations be additive, let iii be an agent, SSS a set of goods and k≥1k\ge 1k≥1. Then

MMSi(k,S) ≤ vi(S)k.\mathrm{MMS}_i(k,S)\ \le\ \frac{v_i(S)}{k}.MMSi​(k,S) ≤ kvi​(S)​.

The paper states this for (n,M)(n,M)(n,M): "the inequality MMSi(n,M)≤vi(M)/n\mathrm{MMS}_i(n,M)\le v_i(M)/nMMSi​(n,M)≤vi​(M)/n holds for additive valuations", and the proof of Theorem 14 uses it for the sub-instance (n′,M′∪P)(n', M'\cup P)(n′,M′∪P). It bounds the maximin share by the proportional share.

Formalization Note Stated for an arbitrary number k≥1k\ge 1k≥1 of bundles and an arbitrary set SSS of goods, which covers both uses; kkk is cast to R\mathbb{R}R before dividing.

Preamble
import Mathlib
import Definitions.Def_LittleCharity_MMS_Setting
Formal statement
namespace LittleCharity.MMS

/-- §3, p. 14: for additive valuations the maximin share of `S` over `k ≥ 1` bundles is at most
the average `v_i(S)/k`. -/
theorem mms_le_average {n m : ℕ} (v : Fin n → Finset (Fin m) → ℝ) (hadd : IsAdditive v)
    (i : Fin n) (k : ℕ) (hk : 0 < k) (S : Finset (Fin m)) :
    mms (v i) k S ≤ v i S / (k : ℝ) := by sorry

end LittleCharity.MMS
Source
Chaudhury, Kavitha, Mehlhorn & Sgouritsa, A Little Charity Guarantees Almost Envy-Freeness, arXiv:1907.04596v3, p. 14, §3.1, the sentence after the display ('MMS_i(n, M) ≤ v_i(M)/n holds for additive valuations'); used on p. 15 in the proof of Theorem 14
Human review
  • Endorsed by Shuze Chen · Oct 8, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 8, 2026

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

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