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Theorem 6.26 -- the M-optimality criterion

Proved
DiscreteConvex.MConvexFunctions.m_optimality_criterion

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

combinatoricsdiscrete-convex-analysis

Theorem 6.26 (p.148). (1) For an M-convex function fff and x∈dom⁡fx \in \operatorname{dom} fx∈domf, f(x)≤f(y)f(x) \le f(y)f(x)≤f(y) for all y∈ZVy \in \mathbb Z^Vy∈ZV if and only if f(x)≤f(x−χu+χv)f(x) \le f(x-\chi_u+\chi_v)f(x)≤f(x−χu​+χv​) for all u,v∈Vu,v \in Vu,v∈V. (2) For an M♮^\natural♮-convex function fff and x∈dom⁡fx \in \operatorname{dom} fx∈domf, global optimality is equivalent to the same exchange condition together with f(x)≤f(x±χv)f(x) \le f(x \pm \chi_v)f(x)≤f(x±χv​) for all v∈Vv \in Vv∈V.

This sharpens chunk 03's Theorem 3.21 (integral convexity's local-to-global principle, checked over the full 3n−13^n-13n−1 sign-pattern neighborhood) to a finite neighbor set of size O(n2)O(n^2)O(n2) — exactly the pairs (u,v)(u,v)(u,v) — which is what makes M-convexity a useful refinement of plain integral convexity for algorithm design.

(Murota, Discrete Convex Analysis, SIAM 2003, DOI 10.1137/1.9780898718508, p.148, Theorem 6.26.)

Preamble
import Mathlib
import Definitions.Def_DiscreteConvex_MConvexFunctions_MExchangeAxiom
import Definitions.Def_DiscreteConvex_MConvexFunctions_MNaturalConvex
import Definitions.Def_DiscreteConvex_MConvexFunctions_DomZ
import Definitions.Def_DiscreteConvex_MConvexFunctions_CharVec
Formal statement
namespace DiscreteConvex.MConvexFunctions

/-- Theorem 6.26, the M-optimality criterion (Murota, *Discrete Convex Analysis*, SIAM 2003,
p.148). (1) For an M-convex function `f` and `x ∈ dom f`, `f(x) ≤ f(y)` for all `y ∈ Zⱽ` iff
`f(x) ≤ f(x - χ_u + χ_v)` for all `u, v ∈ V`. (2) For an M♮-convex function `f` and
`x ∈ dom f`, `f(x) ≤ f(y)` for all `y ∈ Zⱽ` iff both `f(x) ≤ f(x - χ_u + χ_v)` for all
`u, v ∈ V` and `f(x) ≤ f(x ± χ_v)` for all `v ∈ V`. -/
theorem m_optimality_criterion {V : Type*} [Fintype V] [DecidableEq V] :
    (∀ f : (V → ℤ) → WithTop ℝ, MExchangeAxiom f → ∀ x ∈ DomZ f,
      (∀ y, f x ≤ f y) ↔ (∀ u v : V, f x ≤ f (fun w => x w - CharVec u w + CharVec v w))) ∧
    (∀ f : (V → ℤ) → WithTop ℝ, MNaturalConvex f → ∀ x ∈ DomZ f,
      (∀ y, f x ≤ f y) ↔
        ((∀ u v : V, f x ≤ f (fun w => x w - CharVec u w + CharVec v w)) ∧
          (∀ v : V, f x ≤ f (fun w => x w + CharVec v w) ∧
            f x ≤ f (fun w => x w - CharVec v w)))) := by sorry

end DiscreteConvex.MConvexFunctions
Source
Murota, Discrete Convex Analysis, SIAM 2003, DOI 10.1137/1.9780898718508, p.148, Theorem 6.26
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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