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The tangent cone of a polyhedral set, §4 p. 105

Proved
CalamaiMore.ActiveSet.tangentCone_polyhedron

by mikedeng1 · Sep 27, 2026 · Mathlib 0df444a (Lean v4.33.1)

active-setp2o-batch-p200ap2o-gran-per-chapterp2o-plan-paperp2o-v1polyhedrontangent-cone

Let Ω={x∈E:⟨cj,x⟩≥δj, j=1,…,m}\Omega = \{x \in E : \langle c_j, x \rangle \ge \delta_j,\ j = 1, \dots, m\}Ω={x∈E:⟨cj​,x⟩≥δj​, j=1,…,m} be a polyhedral set in a finite-dimensional real inner product space EEE, with active sets A(x)={j:⟨cj,x⟩=δj}A(x) = \{j : \langle c_j, x \rangle = \delta_j\}A(x)={j:⟨cj​,x⟩=δj​}. For every x∈Ωx \in \Omegax∈Ω the tangent cone of Ω\OmegaΩ at xxx (the closure of the cone of feasible directions) is

T(x)={v∈E:⟨cj,v⟩≥0, j∈A(x)}.T(x) = \{v \in E : \langle c_j, v \rangle \ge 0,\ j \in A(x)\}.T(x)={v∈E:⟨cj​,v⟩≥0, j∈A(x)}.

Only the active constraints restrict the directions in which one can move from xxx; this formula is what connects the projected gradient to the active set.

Preamble
import Mathlib
import Definitions.Def_CalamaiMore_Shared_tangentCone
import Definitions.Def_CalamaiMore_ActiveSet_polyhedron
Formal statement
namespace CalamaiMore.ActiveSet

/-- Calamai–Moré, §4, p. 105 (display after (4.2)): for the polyhedral set
`Ω = {x : ⟨c_j, x⟩ ≥ δ_j}` and `x ∈ Ω`, the tangent cone is
`T(x) = {v : ⟨c_j, v⟩ ≥ 0, j ∈ A(x)}`. -/
theorem tangentCone_polyhedron {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
    [FiniteDimensional ℝ E] {m : ℕ} (c : Fin m → E) (δ : Fin m → ℝ)
    (x : E) (hx : x ∈ polyhedron c δ) :
    CalamaiMore.Shared.tangentCone (polyhedron c δ) x =
      {v | ∀ j ∈ activeSet c δ x, 0 ≤ inner ℝ (c j) v} := by sorry

end CalamaiMore.ActiveSet
Source
Calamai & Moré, Projected gradient methods for linearly constrained problems, Math. Programming 39 (1987), p. 105, §4, display after Eq. (4.2)
Human review
  • Endorsed by Shuze Chen · Oct 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 1, 2026

    Confirmed by the mission captain (proposal self-audit).

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