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Proposition 1 — Lower certificate for the optimal cost

Proved
CappedBaseStock.lower_certificate_bound

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

approximationcapped-base-stockinventorylost-salesoperations-research

Consider a periodic-review lost-sales inventory system. Demand is i.i.d., nonnegative and real-valued, with 0<μ=E[D]<∞0<\mu=\mathbb E[D]<\infty0<μ=E[D]<∞. Lead time is an integer L≥1L\ge1L≥1, and holding and lost-sales rates satisfy h,p>0h,p>0h,p>0. Inventory and the LLL pipeline coordinates initially equal zero. The first pipeline component arrives, the order is placed before current demand is observed, demand is served up to available inventory, and the remaining pipeline shifts; today's order arrives LLL periods later. The period cost is hIt+1+p(Dt−It−x1,t)+hI_{t+1}+p(D_t-I_t-x_{1,t})^+hIt+1​+p(Dt​−It​−x1,t​)+.

Costs use the upper limit of finite-horizon expected average costs from this empty initial state. OPT\mathrm{OPT}OPT is the infimum over all measurable, possibly time-dependent history policies in the canonical demand-path model, with independent uniform private randomization. Infinite expected costs remain infinite. A capped base-stock rule orders min⁡{(S−It−∑ixi,t)+,r}\min\{(S-I_t-\sum_i x_{i,t})^+,r\}min{(S−It​−∑i​xi,t​)+,r}, with finite S,r≥0S,r\ge0S,r≥0. Its cost is denoted by C(πS,r)C(\pi_{S,r})C(πS,r​), and CCBS∗C^*_{\rm CBS}CCBS∗​ is the infimum over these parameters. Ordinary base stock at level SSS is the same rule with cap SSS.

For a demand block, let Irm=max⁡0≤k≤m∑i=1k(r−Di)I_r^m=\max_{0\le k\le m}\sum_{i=1}^k(r-D_i)Irm​=max0≤k≤m​∑i=1k​(r−Di​), including the zero empty sum. A pair (r,z)(r,z)(r,z) is feasible when 0≤r≤μ0\le r\le\mu0≤r≤μ, z≥0z\ge0z≥0, and, for both m=Lm=Lm=L and m=L+1m=L+1m=L+1,

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

The lower certificate C‾\underline CC​ is the infimum of hz+p(μ−r)hz+p(\mu-r)hz+p(μ−r) over this feasible set. Neither attainment of the infimum nor positivity of OPT\mathrm{OPT}OPT is assumed. Claim. C‾≤OPT\underline C\le\mathrm{OPT}C​≤OPT. The policy optimum is taken over the full zero-start history-policy class; a stationary-optimum reduction is not an added hypothesis.

Preamble
import Definitions.Def_CappedBaseStock_Model



open scoped ENNReal
Formal statement
namespace CappedBaseStock


theorem lower_certificate_bound (P : DemandLaw) (c : Parameters) :
    lowerCertificate P c ≤ OPT P c := by sorry

end CappedBaseStock
Source
Linwei Xin, Capped Base-Stock Policies: A 2.33-Approximation, author-supplied LaTeX manuscript (756 lines); public paper listing https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7134538 . Author-supplied source SHA-256: f353793c255e1ebed5f3ec541037284bd926183e3e5b71941f13e79c2d67cb7a. Proposition 1 (`lemma-lb`), lines 253–255.
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What the Lean code literally says, in plain math · GPT-6 (independent Codex sub-agent)

For every probability measure PPP on the nonnegative real numbers with integrable identity function and strictly positive real mean μ=∫d P(dd)\mu=\int d\,P(\mathrm{d}d)μ=∫dP(dd), every integer L≥1L\ge1L≥1, and every pair of real numbers h>0h>0h>0 and p>0p>0p>0, the certificate infimum defined below is at most the policy cost infimum defined below. For a sequence d=(di)i≥0d=(d_i)_{i\ge0}d=(di​)i≥0​ of nonnegative real numbers, real numbers r,zr,zr,z, and every integer m≥0m\ge0m≥0, define Fm(d,r)=max⁡0≤k≤m∑i=0k−1(r−di)F_m(d,r)=\max_{0\le k\le m}\sum_{i=0}^{k-1}(r-d_i)Fm​(d,r)=max0≤k≤m​∑i=0k−1​(r−di​), with the empty sum at k=0k=0k=0 equal to 000, and define Em(d,r,z)=(Fm(d,r)+∑i=0m−1(di−r)−z)+E_m(d,r,z)=(F_m(d,r)+\sum_{i=0}^{m-1}(d_i-r)-z)^+Em​(d,r,z)=(Fm​(d,r)+∑i=0m−1​(di​−r)−z)+, where y+=max⁡(y,0)y^+=\max(y,0)y+=max(y,0) and the value is embedded in [0,∞][0,\infty][0,∞]. A real pair (r,z)(r,z)(r,z) is feasible when 0≤r≤μ0\le r\le\mu0≤r≤μ, z≥0z\ge0z≥0, and, for both m=Lm=Lm=L and m=L+1m=L+1m=L+1, its nonnegative Lebesgue integral under the infinite independent product measure satisfies ∫Em(d,r,z) P⊗N(dd)≤m(μ−r)\int E_m(d,r,z)\,P^{\otimes\mathbb N}(\mathrm dd)\le m(\mu-r)∫Em​(d,r,z)P⊗N(dd)≤m(μ−r) in [0,∞][0,\infty][0,∞]. The certificate infimum is A=inf⁡(r,z) feasible[hz+p(μ−r)]A=\inf_{(r,z)\text{ feasible}}[hz+p(\mu-r)]A=inf(r,z) feasible​[hz+p(μ−r)], with each objective embedded as a finite nonnegative real in [0,∞][0,\infty][0,∞]. For the policy infimum, let (Dt)t≥0(D_t)_{t\ge0}(Dt​)t≥0​ have law P⊗NP^{\otimes\mathbb N}P⊗N and independently let UUU have the restriction of Lebesgue measure to [0,1][0,1][0,1]. A policy specifies, for every integer t≥0t\ge0t≥0, a measurable map πt:[0,∞)t×R→[0,∞)\pi_t:[0,\infty)^t\times\mathbb R\to[0,\infty)πt​:[0,∞)t×R→[0,∞) and places the finite nonnegative order qt=πt((Di)0≤i<t,U)q_t=\pi_t((D_i)_{0\le i<t},U)qt​=πt​((Di​)0≤i<t​,U); no boundedness or integrability of these maps is required, and at t=0t=0t=0 there are no demand coordinates. Its state starts at I0=0I_0=0I0​=0 and x0,j=0x_{0,j}=0x0,j​=0 for 0≤j<L0\le j<L0≤j<L and evolves by It+1=(It+xt,0−Dt)+I_{t+1}=(I_t+x_{t,0}-D_t)^+It+1​=(It​+xt,0​−Dt​)+, xt+1,j=xt,j+1x_{t+1,j}=x_{t,j+1}xt+1,j​=xt,j+1​ for 0≤j<L−10\le j<L-10≤j<L−1, and xt+1,L−1=qtx_{t+1,L-1}=q_txt+1,L−1​=qt​. Its period cost in [0,∞][0,\infty][0,∞] is Ct=hIt+1+p(Dt−It−xt,0)+C_t=hI_{t+1}+p(D_t-I_t-x_{t,0})^+Ct​=hIt+1​+p(Dt​−It​−xt,0​)+, and its cost is J(π)=lim sup⁡T→∞1T+1∑t=0T∫Ct d(P⊗N⊗Leb∣[0,1])J(\pi)=\limsup_{T\to\infty}\frac{1}{T+1}\sum_{t=0}^{T}\int C_t\,\mathrm d(P^{\otimes\mathbb N}\otimes\mathrm{Leb}|_{[0,1]})J(π)=limsupT→∞​T+11​∑t=0T​∫Ct​d(P⊗N⊗Leb∣[0,1]​), where TTT ranges over nonnegative integers and the nonnegative integrals and the limit superior may be infinite. Define O=inf⁡πJ(π)O=\inf_{\pi}J(\pi)O=infπ​J(π) over all these policies. The asserted inequality is A≤OA\le OA≤O. Both infima and the inequality are in the extended nonnegative reals, the infimum of an empty family is +∞+\infty+∞, and no feasible pair or policy attaining either infimum is asserted to exist. Zero demand values, r=0r=0r=0, r=μr=\mur=μ, z=0z=0z=0, and L=1L=1L=1 are included whenever the stated conditions hold; subtraction in the state and loss expressions is truncated at zero, as indicated by the positive part, while the sums defining FmF_mFm​ and the expression inside EmE_mEm​ use ordinary real subtraction.

Human review
  • Endorsed by Shuze Chen · Sep 8, 2026

  • Endorsed by StellaXin · Sep 8, 2026

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

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