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Theorem 8.7 — the rank of PPP w.r.t. L&P, simple disjunctive, strengthened L&P and MIG cuts is at most ppp

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Disjunctive.CutCorrespondence.rank_bound_four_cut_families_v2

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

disjunctive-programminglift-and-projectmixed-integer-gomory-cutrank

Let P={x∈Rn:A~x≥b~}P=\{x\in\mathbb R^n:\tilde Ax\ge\tilde b\}P={x∈Rn:A~x≥b~} be the LP relaxation of a mixed 0-1 program with 0-1 variables N′N'N′, where, as throughout Chapter 8, the system A~x≥b~\tilde Ax\ge\tilde bA~x≥b~ contains the rows xj≥0x_j\ge 0xj​≥0 (j=1,…,nj=1,\dots,nj=1,…,n) and −xj≥−1-x_j\ge -1−xj​≥−1 (j∈N′j\in N'j∈N′). Then the rank of PPP with respect to each of the following cut families is at most p:=∣N′∣p:=|N'|p:=∣N′∣:

(a) unstrengthened lift-and-project cuts; (b) simple disjunctive cuts; (c) strengthened lift-and-project cuts; (d) mixed integer Gomory cuts (strengthened simple disjunctive cuts).

That is, for each family there is an ordering j1,…,jpj_1,\dots,j_pj1​,…,jp​ of N′N'N′ such that applying the family's elementary closure for the disjunctions xj1∈{0,1},…,xjp∈{0,1}x_{j_1}\in\{0,1\},\dots,x_{j_p}\in\{0,1\}xj1​​∈{0,1},…,xjp​​∈{0,1} in turn produces conv⁡{x∈P:xj∈{0,1}, j∈N′}\operatorname{conv}\{x\in P: x_j\in\{0,1\},\ j\in N'\}conv{x∈P:xj​∈{0,1}, j∈N′}.

Formalization Note. The retired version was refuted through part (d): its PiBar applied the Gomory strengthening to the surplus of an arbitrary row (with N′N'N′ read as a set of row positions), which yields cuts invalid for the integer hull. The corrected definitions strengthen only nonbasic positions whose row is a bound xj≥0x_j\ge 0xj​≥0 with j∈N′j\in N'j∈N′ ("j∈J∩N′j\in J\cap N'j∈J∩N′"), and Theorem 6.4's γ\gammaγ now omits the multipliers of xj≥0x_j\ge 0xj​≥0 from uA~j,vA~ju\tilde A_j,v\tilde A_juA~j​,vA~j​ (the retired γ\gammaγ equalled α\alphaα). The chapter's standing assumption is stated as the book states it, as rows of the system (IsMixedZeroOneSystem), instead of the weaker Poly A b ⊆ box. The rank is formalized, as in the retired version, by one generic predicate HasRankAtMost over an enumeration of N′N'N′; closures of the representation-dependent families are intersected over all linear representations of the current polyhedron.

Preamble
import Mathlib
import Definitions.Def_Disjunctive_CutCorrespondence_Basic
import Definitions.Def_Disjunctive_CutCorrespondence_Cglp_v2
import Definitions.Def_Disjunctive_CutCorrespondence_Tableau_v2
import Definitions.Def_Disjunctive_CutCorrespondence_Rank_v2
Formal statement
namespace Disjunctive.CutCorrespondence

/-- Theorem 8.7 (Balas, *Disjunctive Programming*, §8.4, p. 105), the goal theorem of this
mission: for the LP relaxation `P = {x : Ãx ≥ b̃}` of a mixed 0-1 program, the rank of `P` with
respect to each of (a) unstrengthened lift-and-project cuts, (b) simple disjunctive cuts,
(c) strengthened lift-and-project cuts, and (d) mixed integer Gomory cuts (strengthened simple
disjunctive cuts) is at most `p := |N'|`, the number of 0-1 variables.

Corrected from the retired version: the MIG strengthening (`PiBar`) is applied only to nonbasic
positions whose row is the bound `x_j ≥ 0` of a 0-1 variable (the retired `PiBar` strengthened
the surplus of arbitrary rows, producing invalid "cuts"), Theorem 6.4's `Gamma` now removes the
multipliers of `x_j ≥ 0` from `uÃ_j, vÃ_j`, and the standing assumption of the chapter is stated
as the book does: the system `Ãx ≥ b̃` contains the rows `x_j ≥ 0` (all `j`) and `-x_j ≥ -1`
(`j ∈ N'`). -/
theorem rank_bound_four_cut_families_v2 {m n : ℕ} (A : Matrix (Fin m) (Fin n) ℝ) (b : Fin m → ℝ)
    (Nprime : Finset (Fin n)) (hsys : IsMixedZeroOneSystem A b Nprime) :
    HasRankAtMost SplitConvexify (Poly A b) Nprime Nprime.card ∧
      HasRankAtMost SimpleDisjClosureOfSet (Poly A b) Nprime Nprime.card ∧
      HasRankAtMost (fun S k => StrengthenedLPClosureOfSet S k Nprime) (Poly A b) Nprime
        Nprime.card ∧
      HasRankAtMost (fun S k => MIGClosureOfSet S k Nprime) (Poly A b) Nprime Nprime.card := by sorry

end Disjunctive.CutCorrespondence
Source
Balas, Disjunctive Programming, Springer 2018, DOI 10.1007/978-3-030-00148-3, §8.4, p. 105, Theorem 8.7

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