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The two certificate constraints bound scan overload

Proved
CappedBaseStock.scan_excess_certificate_bound

by StellaXin · Sep 8, 2026 · Mathlib 0df444a (Lean v4.33.1)

capped-base-stockinventorylost-salesoperations-research

Let demand be i.i.d. and nonnegative with finite positive mean μ\muμ, and let L≥1L\ge1L≥1. For a demand block define

Irm=max⁡0≤k≤m∑i=0k−1(r−Di).I_r^m=\max_{0\le k\le m}\sum_{i=0}^{k-1}(r-D_i).Irm​=0≤k≤mmax​i=0∑k−1​(r−Di​).

Suppose 0≤r≤μ0\le r\le\mu0≤r≤μ, z≥0z\ge0z≥0, and the two certificate constraints hold:

E ⁣[(Irm+∑i=0m−1(Di−r)−z)+]≤m(μ−r),m∈{L,L+1}.\mathbb E\!\left[\left(I_r^m+\sum_{i=0}^{m-1}(D_i-r)-z\right)^+\right]\le m(\mu-r),\qquad m\in\{L,L+1\}.E​(Irm​+i=0∑m−1​(Di​−r)−z)+​≤m(μ−r),m∈{L,L+1}.

For VL=max⁡0≤j≤L∑i=0LDj+iV_L=\max_{0\le j\le L}\sum_{i=0}^{L}D_{j+i}VL​=max0≤j≤L​∑i=0L​Dj+i​, the scan overload satisfies

E ⁣[(VL−((L+1)r+2z))+]≤(2L+1)(μ−r).\mathbb E\!\left[\left(V_L-((L+1)r+2z)\right)^+\right]\le(2L+1)(\mu-r).E[(VL​−((L+1)r+2z))+]≤(2L+1)(μ−r).

This is a demand-only inequality: it does not presume any stationary inventory distribution or policy cost comparison. Both horizon constraints are retained. It supplies the explicit scan estimate used in the ordinary-base-stock loss bound.

Preamble
import Definitions.Def_CappedBaseStock_BaseStockAnalysis

open MeasureTheory
open scoped ENNReal
Formal statement
namespace CappedBaseStock

theorem scan_excess_certificate_bound (P : DemandLaw) (c : Parameters) (r z : ℝ)
    (feasible : CertificateFeasible P c r z) :
    (∫⁻ d, scanExcess d c.L (((c.L : ℝ) + 1) * r + 2 * z) ∂demandPathLaw P) ≤
      ENNReal.ofReal ((2 * (c.L : ℝ) + 1) * (mean P - r)) := by sorry

end CappedBaseStock
Source
Linwei Xin, Capped Base-Stock Policies: A 2.33-Approximation, author-supplied LaTeX manuscript (756 lines), SHA-256 f353793c255e1ebed5f3ec541037284bd926183e3e5b71941f13e79c2d67cb7a. Public paper listing: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7134538. Proof of Lemma `lem-base-stock-loss`, lines 585–609: the suffix/prefix maxima, equation `eq-12`, and the concluding expected scan-excess inequality. The scan is translated to zero-based demand coordinates without changing its law.

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