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Finite-window Jensen certificate inequality

Proved
CappedBaseStock.window_jensen_certificate

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

inventory-controloptimizationprobability

Let (Dk)(D_k)(Dk​) be i.i.d. nonnegative demands with finite positive mean μ\muμ. Let (I0,A0,…,An−1)(I_0,A_0,\ldots,A_{n-1})(I0​,A0​,…,An−1​) be a nonnegative random vector, independent of the entire demand sequence, with finite first moments and common means

E[I0]=z≥0,E[Ai]=r(0≤i<n),0≤r≤μ.\mathbb E[I_0]=z\ge0,\qquad \mathbb E[A_i]=r\quad(0\le i<n),\qquad 0\le r\le\mu.E[I0​]=z≥0,E[Ai​]=r(0≤i<n),0≤r≤μ.

Dependence among the input coordinates is allowed. Define Ik+1=(Ik+Ak−Dk)+I_{k+1}=(I_k+A_k-D_k)^+Ik+1​=(Ik​+Ak​−Dk​)+, and choose an integer horizon 1≤m≤n1\le m\le n1≤m≤n for which E[Im]≤z\mathbb E[I_m]\le zE[Im​]≤z. For a fresh demand block define the finite constant-order envelope

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

where the empty sum is zero. Then

E ⁣[(Jrm+∑i=0m−1(Di−r)−z)+]≤m(μ−r).\mathbb E\!\left[\left(J_r^m+\sum_{i=0}^{m-1}(D_i-r)-z\right)^+\right] \le m(\mu-r).E​(Jrm​+i=0∑m−1​(Di​−r)−z)+​≤m(μ−r).

This finite-window Jensen certificate lemma converts an expected-inventory upper bound into one constraint of the lower-certificate optimization problem. It applies independently at horizons LLL and L+1L+1L+1 and makes no assertion about an optimal policy or its existence.

Formalization Note The nonnegative expectation is a Lebesgue integral in the extended nonnegative reals. The explicit first-moment assumptions and product demand law retain the integrability and independence needed for the finite-window statement.

Preamble
import Definitions.Def_CappedBaseStock_Window

open MeasureTheory
open scoped ENNReal
Formal statement
namespace CappedBaseStock

theorem window_jensen_certificate (P : DemandLaw) (n : ℕ) (W : WindowLaw n)
    (r z : ℝ) (hr : 0 ≤ r) (hrmean : r ≤ mean P) (hz : 0 ≤ z)
    (hmeans : WindowMeans W r z) (m : ℕ) (hm : 1 ≤ m) (hmn : m ≤ n)
    (hbound : windowExpectedInventory P W m ≤ ENNReal.ofReal z) :
    (∫⁻ d, certificateExcess d r z m ∂demandPathLaw P) ≤
      ENNReal.ofReal ((m : ℝ) * (mean P - r)) := by sorry

end CappedBaseStock
Source
Linwei Xin, Capped Base-Stock Policies: A 2.33-Approximation, user-supplied 2026 manuscript, Proposition 1 (label lemma-lb), source-manuscript.tex lines 253-303; SHA-256 f353793c255e1ebed5f3ec541037284bd926183e3e5b71941f13e79c2d67cb7a. Equation eq-envelope-expectation at source lines 214-222 and the conditional Jensen argument at lines 277-300; auxiliary general finite-window formulation of those two steps, with independence and first moments explicit. Related background: Xin and Goldberg, Optimality Gap of Constant-Order Policies Decays Exponentially in the Lead Time for Lost Sales Models, Operations Research 64(6), 1556-1565 (2016), DOI 10.1287/opre.2016.1514; author-hosted April 2016 manuscript https://people.orie.cornell.edu/dag369/ftp/Goldberg_Xin_Lost_Sales_Constant_Order_Expofast_4_2016.pdf, Theorem 2 on printed page 9, Observation 1 on printed page 10, and Appendix 5.3. Observation 1 motivates the finite-window Jensen step; the iid reversal identity is explicitly present in the supplied manuscript.

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