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Interior maximum-principle step for resolvent positivity

Proved
EthierKurtz.resolvent_positive_interior_step

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

maximum-principlepde

This is the interior step of the positive maximum principle for the resolvent problem.

Let Ω⊂Rd\Omega \subset \mathbb{R}^dΩ⊂Rd be open and x0∈Ωx_0 \in \Omegax0​∈Ω. Let uuu be twice continuously differentiable on Ω\OmegaΩ with a local minimum at x0x_0x0​, a negative value u(x0)<0u(x_0) < 0u(x0​)<0, and a positive-semidefinite Hessian quadratic form at x0x_0x0​. Let a(x0)a(x_0)a(x0​) be positive-semidefinite and suppose the elliptic expression

g=12tr(a(x0)D2u(x0))+Du(x0)b(x0)g = \tfrac{1}{2}\mathrm{tr}(a(x_0) D^2 u(x_0)) + Du(x_0) b(x_0)g=21​tr(a(x0​)D2u(x0​))+Du(x0​)b(x0​)

satisfies the resolvent inequality 0≤λu(x0)−g0 \le \lambda u(x_0) - g0≤λu(x0​)−g for some rate λ>0\lambda > 0λ>0. Then this situation is impossible.

Indeed, Fermat's theorem kills the first-order term, the Hessian sign together with a(x0)⪰0a(x_0) \succeq 0a(x0​)⪰0 makes the second-order term nonnegative, so g≥0g \ge 0g≥0 while λu(x0)<0\lambda u(x_0) < 0λu(x0​)<0. This is the contradiction that rules out a negative interior minimum of a resolvent supersolution.

Formalization Note The Hessian-sign hypothesis is exactly the conclusion of the proved lemma EthierKurtz.hessian_posSemidef_of_isLocalMin_on, so a future proof of this step imports it directly.

Preamble
import Mathlib

open scoped Topology
Formal statement
namespace EthierKurtz

theorem resolvent_positive_interior_step {d : ℕ}
    {Ω : Set (EuclideanSpace ℝ (Fin d))}
    {a : EuclideanSpace ℝ (Fin d) → Matrix (Fin d) (Fin d) ℝ}
    {b : EuclideanSpace ℝ (Fin d) → EuclideanSpace ℝ (Fin d)}
    {u : EuclideanSpace ℝ (Fin d) → ℝ} {x₀ : EuclideanSpace ℝ (Fin d)}
    {gval lam : ℝ}
    (hopen : IsOpen Ω) (hx : x₀ ∈ Ω)
    (hC : ContDiffOn ℝ 2 u Ω)
    (hmin : IsLocalMin u x₀)
    (hH : ∀ v, 0 ≤ (fderiv ℝ (fun y => fderiv ℝ u y v) x₀) v)
    (ha : (a x₀).PosSemidef)
    (hId : gval = (1 / 2 : ℝ) * (∑ i : Fin d, ∑ j : Fin d,
      a x₀ i j * fderiv ℝ (fun y => fderiv ℝ u y (EuclideanSpace.single j 1)) x₀
        (EuclideanSpace.single i 1)) + fderiv ℝ u x₀ (b x₀))
    (hlam : 0 < lam) (hu0 : u x₀ < 0)
    (hineq : 0 ≤ lam * u x₀ - gval) :
    False := by sorry

end EthierKurtz
Source
Interior weak maximum principle step for a uniformly elliptic operator at a minimum point, cf. Gilbarg-Trudinger, Elliptic Partial Differential Equations of Second Order, Theorem 3.5; as used for reflecting diffusions in Ethier-Kurtz, Markov Processes, Chapter 4.

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