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Corollary 13.8 — facets of the dominant of a polytope have at most dim⁡(P)+1\dim(P)+1dim(P)+1 nonzero coefficients

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Disjunctive.Dominants.facet_support_bound_v2

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

disjunctive-programmingdominantfacetspolytopes

This is Corollary 13.8 of Balas's Disjunctive Programming, an immediate consequence of Theorem 13.7.

Let P⊆[0,1]nP\subseteq[0,1]^nP⊆[0,1]n be a polytope and P+P^+P+ its dominant. If the inequality πx≥β\pi x\ge\betaπx≥β defines a facet of P+P^+P+, that is, if {x∈P+:πx=β}\{x\in P^+ : \pi x = \beta\}{x∈P+:πx=β} is a facet of P+P^+P+, then

∣{j∈N:πj≠0}∣≤dim⁡(P)+1.\big|\{j\in N : \pi_j\neq0\}\big| \le \dim(P)+1 .​{j∈N:πj​=0}​≤dim(P)+1.

Formalization Note. The retired version took PPP to be an arbitrary subset of Rn\mathbb R^nRn. Points with negative coordinates are replaced by their positive parts in the dominant, which can raise the dimension of faces above dim⁡P\dim PdimP. A four-point set in a 2-dimensional subspace of R4\mathbb R^4R4 gave a facet with 4 nonzero coefficients. The new statement requires, as in Theorem 13.7, that PPP be a polytope (hypothesis hPoly) contained in [0,1]n[0,1]^n[0,1]n (hcube). Facets are faces of codimension one in the affine-dimension sense (IsFacet, PolyDim), and P=∅P=\emptysetP=∅ needs no special treatment because then P+P^+P+ has no facets.

Preamble
import Mathlib
import Definitions.Def_Disjunctive_Dominants_Basic
Formal statement
namespace Disjunctive.Dominants

/-- Corollary 13.8 (Balas, *Disjunctive Programming*, Springer 2018, §13.2, p. 221): for a
polytope `P ⊆ [0,1]ⁿ` (the setting of Theorem 13.7), every inequality `πx ≥ β` defining a facet
of the dominant `P⁺` has at most `dim(P) + 1` nonzero coefficients.

Correction w.r.t. the retired version: `P` was an arbitrary subset of `ℝⁿ`; it is now a
polytope (hypothesis `hPoly`) contained in the unit cube (`hcube`). With points having negative
coordinates the dominant `{y ≥ 0 : y ≥ x ∈ P}` can have facets with more nonzero coefficients
than `dim(P) + 1`. -/
theorem facet_support_bound_v2 {n : ℕ} (P : Set (Fin n → ℝ))
    (hPoly : ∃ V : Finset (Fin n → ℝ), P = convexHull ℝ (V : Set (Fin n → ℝ)))
    (hcube : P ⊆ UnitCube n) (pi : Fin n → ℝ) (beta : ℝ)
    (hfacet : IsFacet (Dominant P) ({x ∈ Dominant P | dotProduct pi x = beta})) :
    ((Finset.univ.filter (fun j => pi j ≠ 0)).card : ℤ) ≤ PolyDim P + 1 := by sorry

end Disjunctive.Dominants
Source
E. Balas, Disjunctive Programming, Springer 2018, DOI 10.1007/978-3-030-00148-3, §13.2, p. 221, Corollary 13.8

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