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Lemma 3.3 — E[Qj]≥(1−(1−1/n)n)∑i,S∋jxi,Spj(i,S)E[Q_j]\ge(1-(1-1/n)^n)\sum_{i,S\ni j}x_{i,S}p^{(i,S)}_jE[Qj​]≥(1−(1−1/n)n)∑i,S∋j​xi,S​pj(i,S)​

Proved
ComplementFreeCA.XOSRounding.expected_max_clause_lower_bound

by mikedeng1 · Sep 28, 2026 · Mathlib 0df444a (Lean v4.33.1)

combinatorial-auctionsp2o-batch-p200bp2o-gran-per-chapterp2o-plan-paperp2o-v1probabilityrandomized-roundingxos-valuations

Let n≥1n\ge1n≥1, let every bidder iii have an XOS valuation viv_ivi​ with admissible clause set WiW_iWi​, and let cli\mathrm{cl}_icli​ be an XOS oracle for viv_ivi​; write p(i,S)=cli(S)p^{(i,S)}=\mathrm{cl}_i(S)p(i,S)=cli​(S) for the maximizing clause of SSS in viv_ivi​. Let xxx be a feasible solution of the LP relaxation and let (S1,…,Sn)(S_1,\dots,S_n)(S1​,…,Sn​) be drawn by randomized rounding from xxx. For an item jjj let Qj=max⁡i∈Npj(i,Si)Q_j=\max_{i\in N}p^{(i,S_i)}_jQj​=maxi∈N​pj(i,Si​)​. Then for every item jjj,

E[Qj] ≥ (1−(1−1n)n)∑i∈N ∑S∋jxi,S pj(i,S).\mathbb E[Q_j]\ \ge\ \Big(1-\Big(1-\frac1n\Big)^n\Big)\sum_{i\in N}\ \sum_{S\ni j}x_{i,S}\,p^{(i,S)}_j .E[Qj​] ≥ (1−(1−n1​)n)i∈N∑​ S∋j∑​xi,S​pj(i,S)​.

Summed over the items, the right-hand side is (1−(1−1/n)n) OPT∗(1-(1-1/n)^n)\,\mathrm{OPT}^*(1−(1−1/n)n)OPT∗, which yields the approximation ratio of Theorem 3.2.

Formalization Note The paper's display of Lemma 3.3 prints the sum over all pairs (i,S)(i,S)(i,S). As printed it is false: a maximizing clause assigns values to items outside SSS (two bidders, items a,ba,ba,b, both with the single clause (1,1)(1,1)(1,1), x1,{a}=x2,{b}=1x_{1,\{a\}}=x_{2,\{b\}}=1x1,{a}​=x2,{b}​=1 give Qa=1<34⋅2Q_a=1<\tfrac34\cdot2Qa​=1<43​⋅2). The last line of the paper's proof restricts to S∋jS\ni jS∋j, which is what is stated here. Only feasibility of xxx is assumed, not optimality.

Preamble
import Mathlib
import Definitions.Def_ComplementFreeCA_XOSRounding_Model
import Definitions.Def_ComplementFreeCA_XOSRounding_Rounding
import Definitions.Def_ComplementFreeCA_XOSRounding_Algorithm
Formal statement
namespace ComplementFreeCA.XOSRounding

open Finset

theorem expected_max_clause_lower_bound {n m : ℕ} (hn : 0 < n)
    (W : Fin n → Finset (Fin m → ℝ)) (v : Fin n → Finset (Fin m) → ℝ)
    (hv : ∀ i, IsXOSWith (v i) (W i))
    (cl : Fin n → Finset (Fin m) → Fin m → ℝ) (hcl : ∀ i, IsXOSOracle (v i) (W i) (cl i))
    (x : Fin n → Finset (Fin m) → ℝ) (hx : IsLPFeasible x) (j : Fin m) :
    (1 - (1 - 1 / (n : ℝ)) ^ n) *
        ∑ i, ∑ S ∈ univ.filter (fun S : Finset (Fin m) => j ∈ S), x i S * cl i S j ≤
      roundingExpectation x (fun σ => maxClauseEntry hn cl σ j) := by sorry

end ComplementFreeCA.XOSRounding
Source
Dobzinski, Nisan, Schapira, Approximation Algorithms for Combinatorial Auctions with Complement-Free Bidders, Math. Oper. Res. 35(1), 2010, p. 7, §3.2, Lemma 3.3 (statement), with the index set of the last display of its proof, p. 8
Human review
  • Endorsed by Shuze Chen · Oct 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 1, 2026

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

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