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buying_to_bundle_intermediate_surrogate_dispersion_gap_bound

Proved

by qm2204 · Jul 3, 2026 · Mathlib c5ea003 (Lean v4.30.0)

asymptoticseconomicsmechanism-designprobability

Second gap bound in the proof of Theorem 4.6 of Buying to Bundle: Optimal Sourcing from Monopolistic Sellers (App. C.2 p. 36). With ϖ′\varpi'ϖ′ the intermediate surrogate profit (deterministic inclusion weights inside the buyer valuation, the identical expression as in buying_to_bundle_profit_intermediate_surrogate_gap_bound) and ϖ(x)=N E[x(μ)(μ−φ(μ))]\varpi(x)=N\,E[x(\mu)(\mu-\varphi(\mu))]ϖ(x)=NE[x(μ)(μ−φ(μ))] the surrogate profit of eq. (2): there exists K>0K>0K>0 depending only on (σ,γ,ξ,μH)(\sigma,\gamma,\xi,\mu_H)(σ,γ,ξ,μH​) such that for every IC allocation rule xxx and every N≥1N\ge1N≥1,

∣ϖ′(x)−ϖ(x)∣ ≤ K N2/3.|\varpi'(x)-\varpi(x)|\ \le\ K\,N^{2/3}.∣ϖ′(x)−ϖ(x)∣ ≤ KN2/3.

Paper proof: ϖ′(x)−ϖ(x)=Eμ[Rev(Υ+σ∑ix(μi)Zi)−Υ]\varpi'(x)-\varpi(x)=E_{\boldsymbol\mu}\big[Rev(\Upsilon+\sigma\sum_ix(\mu_i)Z_i)-\Upsilon\big]ϖ′(x)−ϖ(x)=Eμ​[Rev(Υ+σ∑i​x(μi​)Zi​)−Υ] with Υ=∑ix(μi)μi\Upsilon=\sum_ix(\mu_i)\mu_iΥ=∑i​x(μi​)μi​; apply Lemma 4.5 with C=Υ≤NμHC=\Upsilon\le N\mu_HC=Υ≤NμH​, ai=x(μi)∈[0,1]a_i=x(\mu_i)\in[0,1]ai​=x(μi​)∈[0,1], A≤NA\le NA≤N, and integrate. Formalization note: splitting ϖ\varpiϖ against the payment term uses integrability of the virtual cost.

Preamble
import Mathlib.MeasureTheory.Constructions.Pi
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Definitions.Def_buying_to_bundle_market

open MeasureTheory
Formal statement
theorem buying_to_bundle_intermediate_surrogate_dispersion_gap_bound
    (σ μL μH γ ξ : ℝ) (qual noise : Measure ℝ)
    [IsProbabilityMeasure qual] [IsProbabilityMeasure noise]
    (qualPdf noisePdf : ℝ → ℝ)
    (hM : BuyingToBundle.MarketAssumptions σ μL μH γ ξ qual noise qualPdf noisePdf) :
    ∃ K : ℝ, 0 < K ∧ ∀ N : ℕ, 1 ≤ N → ∀ x : ℝ → ℝ,
      BuyingToBundle.IsAllocationRule μL μH x →
      |((∫ μ : Fin N → ℝ,
            BuyingToBundle.monopolyRevenue
              ((Measure.pi fun _ : Fin N => noise).map
                fun z => ∑ i, x (μ i) * (μ i + σ * z i))
            ∂(Measure.pi fun _ : Fin N => qual)) -
          N * ∫ m, BuyingToBundle.virtualCost qual noise σ qualPdf m * x m ∂qual) -
        N * BuyingToBundle.surrogatePerSeller qual noise σ qualPdf x| ≤
        K * (N : ℝ) ^ ((2 : ℝ) / 3) := by sorry
Source
Buying to Bundle: Optimal Sourcing from Monopolistic Sellers (2025), Appendix C.2 (proof of Theorem 4.6)

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