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Theorem 6.61 -- dir_deriv_subdifferential_correspondence

Disproved
DiscreteConvex.MConvexFunctionsD.dir_deriv_subdifferential_correspondence

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

convex-optimizationdiscrete-convex-analysisdiscrete-geometry

Theorem 6.61 (p.166-167). GOAL. (1) For f∈M[R→R]f\in M[\mathbb R\to\mathbb R]f∈M[R→R] and x∈dom⁡Rfx\in\operatorname{dom}_{\mathbb R} fx∈domR​f, defining γf,x(u,v)=f′(x;−χu+χv)\gamma_{f,x}(u,v)=f'(x;-\chi_u+\chi_v)γf,x​(u,v)=f′(x;−χu​+χv​): γf,x∈T[R]\gamma_{f,x}\in T[\mathbb R]γf,x​∈T[R], ∂Rf(x)=D(γf,x)\partial_{\mathbb R} f(x) = D(\gamma_{f,x})∂R​f(x)=D(γf,x​) is a nonempty L-convex polyhedron, and f′(x;⋅)=γ^f,x(⋅)f'(x;\cdot) = \hat\gamma_{f,x}(\cdot)f′(x;⋅)=γ^​f,x​(⋅). (2) The analogous statement for f∈M[Z→R]f\in M[\mathbb Z\to\mathbb R]f∈M[Z→R] and x∈dom⁡Zfx\in\operatorname{dom}_{\mathbb Z} fx∈domZ​f, with γf,x(u,v)=f(x−χu+χv)−f(x)\gamma_{f,x}(u,v)=f(x-\chi_u+\chi_v)-f(x)γf,x​(u,v)=f(x−χu​+χv​)−f(x).

This ties together the directional derivative, the subdifferential, and the admissible-potential structure of chapter 5 into a single correspondence, the technical heart of the M-convex/L-convex duality developed further in Chapter 8.

Formalization Note. The book's own statement adds refined integrality clauses for the sub-classes M[R→R∣Z]M[\mathbb R\to\mathbb R|\mathbb Z]M[R→R∣Z] and M[Z→Z]M[\mathbb Z\to\mathbb Z]M[Z→Z] (e.g. ∂Rf(x)∈L0[Z∣R]\partial_{\mathbb R} f(x) \in L_0[\mathbb Z|\mathbb R]∂R​f(x)∈L0​[Z∣R], ∂Zf(x)≠∅\partial_{\mathbb Z} f(x)\ne\emptyset∂Z​f(x)=∅); these dual-integral refinements are not restated here — see MODERATION_NOTES.md.

(Murota, Discrete Convex Analysis, SIAM 2003, DOI 10.1137/1.9780898718508, p.166-167, Theorem 6.61.)

Preamble
import Mathlib
import Definitions.Def_DiscreteConvex_MConvexFunctionsD_CharVec
import Definitions.Def_DiscreteConvex_MConvexFunctionsD_DomZ
import Definitions.Def_DiscreteConvex_MConvexFunctionsD_MExchangeAxiom
import Definitions.Def_DiscreteConvex_MConvexFunctionsD_DomR
import Definitions.Def_DiscreteConvex_MConvexFunctionsD_MExchangeAxiomR
import Definitions.Def_DiscreteConvex_MConvexFunctionsD_DirDeriv
import Definitions.Def_DiscreteConvex_MConvexFunctionsD_TriangleInequality
import Definitions.Def_DiscreteConvex_MConvexFunctionsD_GammaHat
import Definitions.Def_DiscreteConvex_MConvexFunctionsD_AdmissiblePotentials
import Definitions.Def_DiscreteConvex_MConvexFunctionsD_SubDifferential
import Definitions.Def_DiscreteConvex_MConvexFunctionsD_SubDifferentialR
Formal statement
namespace DiscreteConvex.MConvexFunctionsD

open scoped Pointwise
open Classical
variable {V : Type*} [Fintype V] [DecidableEq V]
/-- Theorem 6.61 (p.185-186). GOAL. -/
theorem dir_deriv_subdifferential_correspondence :
    (∀ f : (V → ℝ) → WithTop ℝ, MExchangeAxiomR f → ∀ x ∈ DomR f,
      TriangleInequality (fun u v => DirDeriv f x (fun w => (CharVec v w - CharVec u w : ℝ))) ∧
      SubDifferentialR f x =
        AdmissiblePotentials (fun u v => DirDeriv f x (fun w => (CharVec v w - CharVec u w : ℝ))) ∧
      (SubDifferentialR f x).Nonempty ∧
      (∀ d : V → ℝ, DirDeriv f x d =
        GammaHat (fun u v => DirDeriv f x (fun w => (CharVec v w - CharVec u w : ℝ))) d)) ∧
    (∀ f : (V → ℤ) → WithTop ℝ, MExchangeAxiom f → ∀ x ∈ DomZ f,
      TriangleInequality (fun u v => f (fun w => x w - CharVec u w + CharVec v w) - f x) ∧
      SubDifferential f x =
        AdmissiblePotentials (fun u v => f (fun w => x w - CharVec u w + CharVec v w) - f x) ∧
      (SubDifferential f x).Nonempty) := by sorry

end DiscreteConvex.MConvexFunctionsD
Source
Murota, Discrete Convex Analysis, SIAM 2003, DOI 10.1137/1.9780898718508, p.166-167, Theorem 6.61
Human review
  • Endorsed by Community (Bot) · Oct 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Shuze Chen · Oct 1, 2026

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

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