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CGLP (11.6) apparatus with basic solutions; equivalence to an intersection cut over genuine LP bases (corrected)

Definition
Disjunctive_GeneralDisjunctions_Cglp_v2

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

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

The CGLP (11.6) for the disjunction ⋁t∈T(A~x≥b~, dtx≥d0t)\bigvee_{t\in T}(\tilde Ax\ge\tilde b,\ d^tx\ge d^t_0)⋁t∈T​(A~x≥b~, dtx≥d0t​); its feasible set and basic solutions (extreme points of the bounded feasible polytope); the LP relaxation P={x:A~x≥b~}P=\{x:\tilde Ax\ge\tilde b\}P={x:A~x≥b~}; the tableau quantities of a nonsingular A^=A~J\hat A=\tilde A_JA^=A~J​; the intersection-cut coefficients πj=max⁡tdt(−aˉj)/(d0t−dtaˉ0)\pi_j=\max_t d^t(-\bar a_j)/(d^t_0-d^t\bar a_0)πj​=maxt​dt(−aˉj​)/(d0t​−dtaˉ0​); the condition of Theorem 11.9; the requirement aˉ0∈int⁡S\bar a_0\in\operatorname{int}Saˉ0​∈intS (BasicSolutionInIntS); domination on PPP; unique minimality.

Correction. IsEquivalentToIntersectionCutFromS now quantifies only over genuine LP bases — injective ι\iotaι with A^\hat AA^ nonsingular and aˉ0∈int⁡S\bar a_0\in\operatorname{int}Saˉ0​∈intS, for which the intersection cut from SSS is defined — instead of arbitrary maps ι\iotaι (for which the formula returns junk values).

Definition code
import Mathlib

namespace Disjunctive.GeneralDisjunctions

/-- `Â`, the `n×n` submatrix of `Ã` whose rows are `ι 0, …, ι (n-1)` (restated from
`08-cut-correspondence`/`09-simplex-tableau`/`10-split-closure`). -/
def Ahat {n : ℕ} {M : Type*} (Atil : Matrix M (Fin n) ℝ) (ι : Fin n → M) :
    Matrix (Fin n) (Fin n) ℝ :=
  fun i j => Atil (ι i) j

/-- `b̂`, the subvector of `b̃` corresponding to `Â` (restated locally). -/
def Bhat {n : ℕ} {M : Type*} (btil : M → ℝ) (ι : Fin n → M) : Fin n → ℝ :=
  fun i => btil (ι i)

/-- `ā_i0 := e_i Â⁻¹ b̂`, the tableau's constant column at row `i` (restated locally, generalized
from a single fixed row `k` to a general row `i`). -/
noncomputable def Abar0 {n : ℕ} {M : Type*} [DecidableEq (Fin n)] (Atil : Matrix M (Fin n) ℝ)
    (btil : M → ℝ) (ι : Fin n → M) (i : Fin n) : ℝ :=
  (Ahat Atil ι)⁻¹.mulVec (Bhat btil ι) i

/-- `ā_ij := -(Â⁻¹)_{ij}` (restated locally, generalized to a general row `i`). -/
noncomputable def Abar {n : ℕ} {M : Type*} [DecidableEq (Fin n)] (Atil : Matrix M (Fin n) ℝ)
    (ι : Fin n → M) (i j : Fin n) : ℝ :=
  -((Ahat Atil ι)⁻¹) i j

/-- The surplus (slack) value at an arbitrary row `i : M` (restated from `09-simplex-tableau`'s
`SurplusM`). -/
def SurplusM {n : ℕ} {M : Type*} (Atil : Matrix M (Fin n) ℝ) (btil : M → ℝ) (i : M)
    (x : Fin n → ℝ) : ℝ :=
  dotProduct (Atil i) x - btil i

/-- The CGLP constraint set (11.6) (Balas §11.4, p. 153) corresponding to the disjunction
`D(P,S) = {x : ∨_{t∈T} (Ãx≥b̃ ∧ dᵗx≥dᵗ₀)}`: `α - uᵗÃ - uᵗ₀dᵗ = 0`, `-β + uᵗb̃ + uᵗ₀dᵗ₀ = 0` for
`t ∈ T`, `∑ₜ(uᵗe + uᵗ₀) = 1`, `uᵗ, uᵗ₀ ≥ 0`. -/
def IsCGLP116Feasible {n : ℕ} {M T : Type*} [Fintype M] [Fintype T]
    (Atil : Matrix M (Fin n) ℝ) (btil : M → ℝ) (d : T → Fin n → ℝ) (d0 : T → ℝ)
    (α : Fin n → ℝ) (u : T → M → ℝ) (u0 : T → ℝ) (β : ℝ) : Prop :=
  (∀ t, α = Matrix.vecMul (u t) Atil + u0 t • d t) ∧
    (∀ t, β = dotProduct (u t) btil + u0 t * d0 t) ∧
    (∑ t, ((∑ i, u t i) + u0 t)) = 1 ∧
    (∀ t i, 0 ≤ u t i) ∧ (∀ t, 0 ≤ u0 t)

/-- The feasible set of the CGLP (11.6), as a subset of the bundled space of
`(α, {uᵗ}, {uᵗ₀}, β)` (bounded, by the normalization constraint). -/
def CGLP116FeasibleSet {n : ℕ} {M T : Type*} [Fintype M] [Fintype T]
    (Atil : Matrix M (Fin n) ℝ) (btil : M → ℝ) (d : T → Fin n → ℝ) (d0 : T → ℝ) :
    Set ((Fin n → ℝ) × (T → M → ℝ) × (T → ℝ) × ℝ) :=
  {w | IsCGLP116Feasible Atil btil d d0 w.1 w.2.1 w.2.2.1 w.2.2.2}

/-- `(α, β, {uᵗ, uᵗ₀})` is a *basic* feasible solution of (11.6) (Balas §11.5; Balas–Kis 2016,
Theorems 9 and 11), formalized as an extreme point of the (bounded) feasible polytope of
(11.6). -/
def IsBasicCGLP116Solution {n : ℕ} {M T : Type*} [Fintype M] [Fintype T]
    (Atil : Matrix M (Fin n) ℝ) (btil : M → ℝ) (d : T → Fin n → ℝ) (d0 : T → ℝ)
    (α : Fin n → ℝ) (u : T → M → ℝ) (u0 : T → ℝ) (β : ℝ) : Prop :=
  (α, u, u0, β) ∈ Set.extremePoints ℝ (CGLP116FeasibleSet Atil btil d d0)

/-- The LP relaxation `P := {x : Ãx ≥ b̃}` (Balas §11.4, p. 153). -/
def LPPoly {n : ℕ} {M : Type*} [Fintype M] (Atil : Matrix M (Fin n) ℝ) (btil : M → ℝ) :
    Set (Fin n → ℝ) :=
  {x | ∀ ρ, btil ρ ≤ dotProduct (Atil ρ) x}

/-- The basic solution `ā0 = Â⁻¹b̂` of the LP basis with nonbasic rows `ι` lies in the interior of
`S = {x : dᵗx ≤ dᵗ₀, t ∈ T}` (Balas §11.5; Balas–Kis 2016, Theorem 7: "suppose `x̄ = ā0` is an
interior point of `S`"), the requirement under which the intersection cut from `S` and that
tableau is defined (all exit parameters `λ*_tj` have positive numerators `dᵗ₀ - dᵗā0`). -/
def BasicSolutionInIntS {n : ℕ} {M T : Type*} [DecidableEq (Fin n)]
    (Atil : Matrix M (Fin n) ℝ) (btil : M → ℝ) (ι : Fin n → M) (d : T → Fin n → ℝ)
    (d0 : T → ℝ) : Prop :=
  ∀ t, dotProduct (d t) (fun i => Abar0 Atil btil ι i) < d0 t

/-- `π^t_j`, Theorem 11.9's per-disjunct intersection-cut coefficient (Balas §11.5, p. 160, in
the theorem's own proof): `d^t(-ā_j) / (d^t_0 - d^t·ā_0)`. -/
noncomputable def piT {n : ℕ} {M T : Type*} [DecidableEq (Fin n)] (Atil : Matrix M (Fin n) ℝ)
    (btil : M → ℝ) (ι : Fin n → M) (d : T → Fin n → ℝ) (d0 : T → ℝ) (t : T) (j : Fin n) : ℝ :=
  dotProduct (d t) (fun i => -(Abar Atil ι i j)) /
    (d0 t - dotProduct (d t) (fun i => Abar0 Atil btil ι i))

/-- `π_j := max_{t∈T} π^t_j`, the intersection-cut coefficient of Theorem 11.9 (Balas §11.5,
p. 159-160). -/
noncomputable def piCoef {n : ℕ} {M T : Type*} [Fintype T] [Nonempty T] [DecidableEq (Fin n)]
    (Atil : Matrix M (Fin n) ℝ) (btil : M → ℝ) (ι : Fin n → M) (d : T → Fin n → ℝ) (d0 : T → ℝ)
    (j : Fin n) : ℝ :=
  Finset.univ.sup' Finset.univ_nonempty (fun t => piT Atil btil ι d d0 t j)

/-- The intersection cut `πx_J ≥ 1` from `S := {x : dᵗx ≤ dᵗ₀, t∈T}` and the LP simplex tableau
with nonbasic (row) set `ι` (Balas §11.5, p. 155-159), expressed via the surplus values at the
cobasis rows (matching `09-simplex-tableau`'s identification of nonbasic structural variables
with their corresponding surplus values). -/
noncomputable def IntersectionCutFromS {n : ℕ} {M T : Type*} [Fintype T] [Nonempty T]
    [DecidableEq (Fin n)] (Atil : Matrix M (Fin n) ℝ) (btil : M → ℝ) (ι : Fin n → M)
    (d : T → Fin n → ℝ) (d0 : T → ℝ) : Set (Fin n → ℝ) :=
  {x | 1 ≤ ∑ j, piCoef Atil btil ι d d0 j * SurplusM Atil btil (ι j) x}

/-- `w` (a CGLP-(11.6) solution's multipliers `u`) satisfies the sufficient condition of Theorem
11.9 (Balas §11.5, p. 162): there is an injective, nonsingular-tableau cobasis `ι` on whose image
every `uᵗ` is entirely supported. -/
def SatisfiesThm119Condition {n : ℕ} {M T : Type*} [Fintype M] [DecidableEq M]
    [DecidableEq (Fin n)] (Atil : Matrix M (Fin n) ℝ) (u : T → M → ℝ) : Prop :=
  ∃ ι : Fin n → M, Function.Injective ι ∧ IsUnit (Ahat Atil ι).det ∧
    ∀ t, ∀ i, i ∉ Finset.image ι Finset.univ → u t i = 0

/-- `(α,β)` is equivalent to some standard intersection cut from `S` (Balas §11.5, p. 161-162,
"there exists no intersection cut from `S` equivalent to..."): for some LP basis — an injective
cobasis `ι` with nonsingular `Â = Ã_ι` whose basic solution `ā0` lies in `int S`, so that the
intersection cut from `S` and that tableau is defined — the halfspace `{β ≤ αx}` coincides with
`IntersectionCutFromS` at `ι`. (The retired version quantified over arbitrary maps `ι`, for which
`IntersectionCutFromS` is a junk value.) -/
noncomputable def IsEquivalentToIntersectionCutFromS {n : ℕ} {M T : Type*} [Fintype T]
    [Nonempty T] [DecidableEq (Fin n)] (Atil : Matrix M (Fin n) ℝ) (btil : M → ℝ)
    (d : T → Fin n → ℝ) (d0 : T → ℝ) (α : Fin n → ℝ) (β : ℝ) : Prop :=
  ∃ ι : Fin n → M, Function.Injective ι ∧ IsUnit (Ahat Atil ι).det ∧
    BasicSolutionInIntS Atil btil ι d d0 ∧
    {x | β ≤ dotProduct α x} = IntersectionCutFromS Atil btil ι d d0

/-- `γ¹x≥γ¹₀` dominates `γ²x≥γ²₀` on `P` (Balas §11.5, p. 161): every `x∈P` satisfying the first
also satisfies the second. -/
def Dominates {n : ℕ} (P : Set (Fin n → ℝ)) (gamma1 : Fin n → ℝ) (gamma10 : ℝ)
    (gamma2 : Fin n → ℝ) (gamma20 : ℝ) : Prop :=
  ∀ x ∈ P, gamma10 ≤ dotProduct gamma1 x → gamma20 ≤ dotProduct gamma2 x

/-- `(α,β)` uniquely minimizes `αx̄_N - β` over (11.6) (Balas §11.5, p. 161-162): feasible,
optimal, and the unique `(α,β)`-pair achieving the optimum. -/
def IsCGLP116UniqueMin {n : ℕ} {M T : Type*} [Fintype M] [Fintype T]
    (Atil : Matrix M (Fin n) ℝ) (btil : M → ℝ) (d : T → Fin n → ℝ) (d0 : T → ℝ)
    (xbarN : Fin n → ℝ) (α : Fin n → ℝ) (β : ℝ) : Prop :=
  (∃ u u0, IsCGLP116Feasible Atil btil d d0 α u u0 β) ∧
    (∀ α' β' u' u0', IsCGLP116Feasible Atil btil d d0 α' u' u0' β' →
      dotProduct α xbarN - β ≤ dotProduct α' xbarN - β') ∧
    (∀ α' β' u' u0', IsCGLP116Feasible Atil btil d d0 α' u' u0' β' →
      dotProduct α' xbarN - β' = dotProduct α xbarN - β → α' = α ∧ β' = β)

end Disjunctive.GeneralDisjunctions
Source
Balas, Disjunctive Programming, Springer 2018, DOI 10.1007/978-3-030-00148-3, §11.4-11.5, (11.6), Theorems 11.9-11.11; Balas–Kis (2016) §2-3

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