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Theorem 3.3 — the constraint boundary condition

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Disjunctive.SequentialConvex.constraint_boundary_condition_v2

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

convex-hulldisjunctive-programmingsequential-convexification

This is Theorem 3.3 of Balas's Disjunctive Programming: the exact condition under which one step of sequential convexification is valid.

Let Fj−1⊆RnF_{j-1} \subseteq \mathbb{R}^nFj−1​⊆Rn, let Dj:=⋁i∈Qj(dix≥di0)D_j := \bigvee_{i \in Q_j} (d_i x \ge d_{i0})Dj​:=⋁i∈Qj​​(di​x≥di0​), i.e. Dj=⋃i∈Qj{x:dix≥di0}D_j = \bigcup_{i\in Q_j}\{x : d_i x \ge d_{i0}\}Dj​=⋃i∈Qj​​{x:di​x≥di0​}, and let Dˉj:={x:dix≤di0, i∈Qj}\bar D_j := \{x : d_i x \le d_{i0},\ i \in Q_j\}Dˉj​:={x:di​x≤di0​, i∈Qj​} be the system obtained by reversing every inequality of DjD_jDj​ (the closure of the complement of DjD_jDj​). Then

conv[(conv Fj−1)∩Dj]=conv(Fj−1∩Dj)(3.5)\mathrm{conv}\big[(\mathrm{conv}\,F_{j-1}) \cap D_j\big] = \mathrm{conv}(F_{j-1} \cap D_j) \tag{3.5}conv[(convFj−1​)∩Dj​]=conv(Fj−1​∩Dj​)(3.5)

holds if and only if the constraint boundary condition holds: for every x∈Fj−1∩Dˉjx \in F_{j-1} \cap \bar D_jx∈Fj−1​∩Dˉj​ and y∈Fj−1∩Djy \in F_{j-1} \cap D_jy∈Fj−1​∩Dj​,

[x,y]∩bd(Dˉj)⊆conv(Fj−1∩Dj),(3.6)[x, y] \cap \mathrm{bd}(\bar D_j) \subseteq \mathrm{conv}(F_{j-1} \cap D_j), \tag{3.6}[x,y]∩bd(Dˉj​)⊆conv(Fj−1​∩Dj​),(3.6)

where bd(Dˉj)\mathrm{bd}(\bar D_j)bd(Dˉj​) is the boundary of Dˉj\bar D_jDˉj​ relative to the affine space spanned by Dˉj\bar D_jDˉj​.

Formalization Note. The retired version defined Dˉj\bar D_jDˉj​ as the union ⋃i{dix≤di0}\bigcup_i \{d_i x \le d_{i0}\}⋃i​{di​x≤di0​}, whose boundary need not be where segments from outside DjD_jDj​ enter DjD_jDj​; with the terms x≥0x \ge 0x≥0, x≥1x \ge 1x≥1 in R\mathbb{R}R and Fj−1={−1,12}F_{j-1} = \{-1, \tfrac12\}Fj−1​={−1,21​}, (3.6) held vacuously while (3.5) failed. The corrected definition Dbarj (module Disjunctive_SequentialConvex_Basic_v2) is the conjunction ⋂i{dix≤di0}\bigcap_i \{d_i x \le d_{i0}\}⋂i​{di​x≤di0​} of the reversed inequalities, the convex set CjC_jCj​ with Rn∖Dj={x:dix<di0 ∀i}\mathbb{R}^n \setminus D_j = \{x : d_i x < d_{i0}\ \forall i\}Rn∖Dj​={x:di​x<di0​ ∀i}; the theorem is the reverse-convex result of Balas, Tama and Tind (1989) for x∉int⁡Cjx \notin \operatorname{int} C_jx∈/intCj​. The relative boundary is Mathlib's intrinsicFrontier; the book's "∈\in∈" in (3.6) is read as set inclusion. Fj−1F_{j-1}Fj−1​ is an arbitrary set, as in the retired statement (the equivalence holds for every Fj−1F_{j-1}Fj−1​).

Preamble
import Mathlib
import Definitions.Def_Disjunctive_SequentialConvex_Basic_v2
Formal statement
namespace Disjunctive.SequentialConvex

/-- Theorem 3.3 (Balas, *Disjunctive Programming*, Springer 2018, §3.2, p. 46; Balas, Tama and
Tind 1989): `F_{j-1}` and `D_j = ⋁_{i ∈ Q_j} (d_i x ≥ d_{i0})` satisfy the
sequential-convexifiability relation (3.5) `conv[(conv F_{j-1}) ∩ D_j] = conv(F_{j-1} ∩ D_j)` if
and only if they satisfy the constraint boundary condition (3.6): for every `x ∈ F_{j-1} ∩ D̄_j`
and `y ∈ F_{j-1} ∩ D_j`, every point where the segment `[x, y]` meets the boundary of `D̄_j`
(relative to the affine hull of `D̄_j`) lies in `conv(F_{j-1} ∩ D_j)`. Here
`D̄_j = {x : d_i x ≤ d_{i0}, i ∈ Q_j}` is the system with every inequality of `D_j` reversed.

Version 2: `D̄_j` is the conjunction of the reversed inequalities (`Dbarj` of
`Disjunctive_SequentialConvex_Basic_v2`), not their union; with the union, the terms `x ≥ 0`,
`x ≥ 1` in `ℝ` and `F = {-1, 1/2}` satisfied (3.6) vacuously while (3.5) failed. -/
theorem constraint_boundary_condition_v2 {n : ℕ} (Fjm1 : Set (Fin n → ℝ)) {Qj : Type*}
    [Fintype Qj] (d : Qj → Fin n → ℝ) (d0 : Qj → ℝ) :
    (convexHull ℝ (convexHull ℝ Fjm1 ∩ Dj d d0) = convexHull ℝ (Fjm1 ∩ Dj d d0)) ↔
      (∀ x ∈ Fjm1 ∩ Dbarj d d0, ∀ y ∈ Fjm1 ∩ Dj d d0,
        segment ℝ x y ∩ intrinsicFrontier ℝ (Dbarj d d0) ⊆ convexHull ℝ (Fjm1 ∩ Dj d d0)) := by sorry

end Disjunctive.SequentialConvex
Source
Balas, Disjunctive Programming, Springer 2018, DOI 10.1007/978-3-030-00148-3, §3.2, p. 46, Theorem 3.3 (Balas, Tama, Tind 1989) — D̄_j read as the conjunction of the reversed inequalities

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