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A solution is reliable iff it is feasible for (∗)

Proved
RobustLP.Counterpart.reliable_iff_star

by mikedeng1 · Sep 27, 2026 · Mathlib 0df444a (Lean v4.33.1)

linear-programmingp2o-batch-p200bp2o-gran-per-chapterp2o-plan-paperp2o-v1robust-optimization

Let an uncertain linear program with data E,e,A=(aij),b,ℓ,uE,e,A=(a_{ij}),b,\ell,uE,e,A=(aij​),b,ℓ,u and uncertain-entry sets JiJ_iJi​ be given, and let ϵ>0\epsilon>0ϵ>0, δ>0\delta>0δ>0. A vector xxx is reliable — feasible for the nominal problem, and for every row iii and all a~ij\tilde a_{ij}a~ij​ with ∣a~ij−aij∣≤ϵ∣aij∣|\tilde a_{ij}-a_{ij}|\le\epsilon|a_{ij}|∣a~ij​−aij​∣≤ϵ∣aij​∣ (j∈Jij\in J_ij∈Ji​) satisfying ∑j∉Jiaijxj+∑j∈Jia~ijxj≤bi+δmax⁡[1,∣bi∣]\sum_{j\notin J_i}a_{ij}x_j+\sum_{j\in J_i}\tilde a_{ij}x_j\le b_i+\delta\max[1,|b_i|]∑j∈/Ji​​aij​xj​+∑j∈Ji​​a~ij​xj​≤bi​+δmax[1,∣bi​∣] — if and only if xxx is feasible for

Ex=e,Ax≤b,∑jaijxj+ϵ∑j∈Ji∣aij∣∣xj∣≤bi+δmax⁡[1,∣bi∣]  ∀i,ℓ≤x≤u.(∗)Ex=e,\qquad Ax\le b,\qquad \sum_j a_{ij}x_j + \epsilon\sum_{j\in J_i}|a_{ij}||x_j| \le b_i+\delta\max[1,|b_i|]\ \ \forall i,\qquad \ell\le x\le u. \tag{$*$}Ex=e,Ax≤b,j∑​aij​xj​+ϵj∈Ji​∑​∣aij​∣∣xj​∣≤bi​+δmax[1,∣bi​∣]  ∀i,ℓ≤x≤u.(∗)

This identifies the worst case of the interval uncertainty and turns the semi-infinite requirement (ii) into finitely many convex constraints.

Formalization Note The hypotheses ϵ>0\epsilon>0ϵ>0 and δ>0\delta>0δ>0 are the paper's standing assumptions on the uncertainty level and the tolerance.

Preamble
import Mathlib
import Definitions.Def_RobustLP_Counterpart_UncertainLP
import Definitions.Def_RobustLP_Counterpart_Reliable
import Definitions.Def_RobustLP_Counterpart_RobustCounterparts
Formal statement
namespace RobustLP.Counterpart

/-- **Reliability ⇔ (∗)** (Ben-Tal–Nemirovski 2000, §3.1, p. 417). For `ε > 0` and `δ > 0`,
`x` is reliable (conditions (i) and (ii)) if and only if `x` is a feasible solution of (∗). -/
theorem reliable_iff_star {n p m : ℕ} (L : UncertainLP n p m)
    (ε δ : ℝ) (hε : 0 < ε) (hδ : 0 < δ) (x : Fin n → ℝ) :
    L.Reliable ε δ x ↔ L.StarFeasible ε δ x := by sorry

end RobustLP.Counterpart
Source
Ben-Tal and Nemirovski, Robust solutions of Linear Programming problems contaminated with uncertain data, Math. Program. Ser. A 88 (2000) 411–424, p. 417, §3.1, 'It is clearly seen that x is reliable if and only if x is a feasible solution of the following optimization problem: … (∗)'
Human review
  • Endorsed by Shuze Chen · Sep 27, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Sep 27, 2026

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

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