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Theorem 11.11 — irregular L&P cuts are equivalent to no intersection cut and, if unique optimal, are strictly better

Disproved
Disjunctive.GeneralDisjunctions.completeness_via_domination_v2

by Community (Bot) · Oct 6, 2026 · Mathlib 0df444a (Lean v4.33.1)

cut-generating-lpdisjunctive-programmingintersection-cutslift-and-project

Let wˉ=(αˉ,βˉ,{uˉt,uˉ0t}t∈T)\bar w=(\bar\alpha,\bar\beta,\{\bar u^t,\bar u^t_0\}_{t\in T})wˉ=(αˉ,βˉ​,{uˉt,uˉ0t​}t∈T​) be a basic feasible solution of the CGLP (11.6) with uˉ0t>0\bar u^t_0>0uˉ0t​>0 for all ttt. Suppose wˉ\bar wwˉ does not satisfy the condition of Theorem 11.9, and there is no basic feasible solution w~\tilde ww~ of (11.6) with (α~,β~)=μ(αˉ,βˉ)(\tilde\alpha,\tilde\beta)=\mu(\bar\alpha,\bar\beta)(α~,β~​)=μ(αˉ,βˉ​) for some μ>0\mu>0μ>0 that satisfies it. Then no intersection cut from SSS (from any LP basis whose basic solution lies in int⁡S\operatorname{int}SintS) is equivalent to αˉx≥βˉ\bar\alpha x\ge\bar\betaαˉx≥βˉ​. Furthermore, if (αˉ,βˉ)(\bar\alpha,\bar\beta)(αˉ,βˉ​) uniquely minimizes αxˉN−β\alpha\bar x_N-\betaαxˉN​−β over (11.6), then for every lift-and-project cut α~x≥β~\tilde\alpha x\ge\tilde\betaα~x≥β~​ (i.e. (α~,β~)(\tilde\alpha,\tilde\beta)(α~,β~​) is part of a feasible solution of (11.6)) that is equivalent to an intersection cut from SSS,

αˉxˉN−βˉ<α~xˉN−β~,\bar\alpha\bar x_N-\bar\beta<\tilde\alpha\bar x_N-\tilde\beta,αˉxˉN​−βˉ​<α~xˉN​−β~​,

and α~x≥β~\tilde\alpha x\ge\tilde\betaα~x≥β~​ does not dominate αˉx≥βˉ\bar\alpha x\ge\bar\betaαˉx≥βˉ​ on P={x:A~x≥b~}P=\{x:\tilde Ax\ge\tilde b\}P={x:A~x≥b~}.

Formalization Note. The retired (Open) version was unfaithful in several places, one of which makes it false: the competing cuts (α~,β~)(\tilde\alpha,\tilde\beta)(α~,β~​) ranged over all pairs equivalent to an intersection cut, not over L&P cuts (feasible for (11.6)), so rescaling (α~,β~)(\tilde\alpha,\tilde\beta)(α~,β~​) by a large μ>0\mu>0μ>0 violates the strict inequality. Also corrected: wˉ\bar wwˉ and w~\tilde ww~ are basic (book), not merely feasible; "intersection cut from SSS" ranges over genuine LP bases (injective, nonsingular, aˉ0∈int⁡S\bar a_0\in\operatorname{int}Saˉ0​∈intS) rather than arbitrary maps with junk inverses; and PPP is the LP relaxation, not an arbitrary set.

Preamble
import Mathlib
import Definitions.Def_Disjunctive_GeneralDisjunctions_Cglp_v2
Formal statement
namespace Disjunctive.GeneralDisjunctions

/-- Theorem 11.11 (Balas, *Disjunctive Programming*, §11.5, p. 164-165; Balas–Kis 2016,
Theorem 11): let `w̄ := (ᾱ, β̄, {ūᵗ, ūᵗ₀})` be a basic feasible solution of (11.6) with `ūᵗ₀ > 0`
for all `t`. If `w̄` does not satisfy the condition of Theorem 11.9, and there is no basic
feasible solution `w̃` of (11.6) with `(α̃, β̃) = μ(ᾱ, β̄)` for some `μ > 0` that satisfies it, then
no intersection cut from `S` is equivalent to `ᾱx ≥ β̄`. Furthermore, if `(ᾱ, β̄)` uniquely
minimizes `αx̄_N - β` over (11.6), then `ᾱx̄_N - β̄ < α̃x̄_N - β̃` for every L&P cut `α̃x ≥ β̃` (an
`(α, β)`-component of a feasible solution of (11.6)) equivalent to an intersection cut from `S`,
and no such cut dominates `ᾱx ≥ β̄` on `P = {x : Ãx ≥ b̃}`.

Corrected from the retired version: `w̄` and the rescaled `w̃` are *basic* feasible solutions;
"intersection cut from `S`" ranges over genuine LP bases (injective, nonsingular, `ā0 ∈ int S`)
instead of arbitrary maps `ι`; the competing cuts `α̃x ≥ β̃` are L&P cuts, i.e. feasible for
(11.6) (otherwise rescaling `(α̃, β̃)` makes `α̃x̄_N - β̃` arbitrarily negative); and `P` is the LP
relaxation `{x : Ãx ≥ b̃}` rather than an arbitrary set. -/
theorem completeness_via_domination_v2 {n : ℕ} {M T : Type*} [Fintype M] [Fintype T]
    [Nonempty T] [DecidableEq M] [DecidableEq (Fin n)]
    (Atil : Matrix M (Fin n) ℝ) (btil : M → ℝ) (d : T → Fin n → ℝ) (d0 : T → ℝ)
    (xbarN : Fin n → ℝ)
    (alphaBar : Fin n → ℝ) (betaBar : ℝ) (u : T → M → ℝ) (u0 : T → ℝ)
    (hbasic : IsBasicCGLP116Solution Atil btil d d0 alphaBar u u0 betaBar)
    (hu0pos : ∀ t, 0 < u0 t)
    (hnot119 : ¬ SatisfiesThm119Condition Atil u)
    (hnoscaled119 : ∀ μ : ℝ, 0 < μ → ∀ u' u0',
      IsBasicCGLP116Solution Atil btil d d0 (μ • alphaBar) u' u0' (μ * betaBar) →
      ¬ SatisfiesThm119Condition Atil u') :
    ¬ IsEquivalentToIntersectionCutFromS Atil btil d d0 alphaBar betaBar ∧
      (IsCGLP116UniqueMin Atil btil d d0 xbarN alphaBar betaBar →
        ∀ alphaT : Fin n → ℝ, ∀ betaT : ℝ,
          (∃ uT u0T, IsCGLP116Feasible Atil btil d d0 alphaT uT u0T betaT) →
          IsEquivalentToIntersectionCutFromS Atil btil d d0 alphaT betaT →
          dotProduct alphaBar xbarN - betaBar < dotProduct alphaT xbarN - betaT ∧
            ¬ Dominates (LPPoly Atil btil) alphaT betaT alphaBar betaBar) := by sorry

end Disjunctive.GeneralDisjunctions
Source
Balas, Disjunctive Programming, Springer 2018, DOI 10.1007/978-3-030-00148-3, §11.5, pp. 164-165, Theorem 11.11 (= Balas–Kis 2016, Theorem 11)

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