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Convergence of Integrated Second Differences

Proved
FunctionalInequalities.Analysis.tendsto_integral_secondDifference_mul_readable

by Lazyfill · Oct 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

Let EEE be a finite-dimensional real inner-product space with its measurable and Borel structures. Let u:E→Ru:E\to\mathbb Ru:E→R be continuous, let χ∈Cc2(E)\chi\in C_c^2(E)χ∈Cc2​(E), and let v∈Ev\in Ev∈E. As t→0+t\to0^+t→0+,

∫Eu(x+tv)+u(x−tv)−2u(x)t2 χ(x) dx⟶∫Eu(x) D2χ(x)[v,v] dx.\int_E\frac{u(x+tv)+u(x-tv)-2u(x)}{t^2}\,\chi(x)\,dx \longrightarrow \int_Eu(x)\,D^2\chi(x)[v,v] \,dx.∫E​t2u(x+tv)+u(x−tv)−2u(x)​χ(x)dx⟶∫E​u(x)D2χ(x)[v,v]dx.

In Lean, the right-hand integrand is expressed using iteratedFDeriv ℝ 2 χ x (fun _ => v), and the limit is taken along the neighborhood filter N>(0)\mathcal N_{>}(0)N>​(0). This is a weak second-order integration identity for compactly supported tests.

Original Lean declaration header

Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.

theorem tendsto_integral_secondDifference_mul
    {u : E → ℝ} (hu : Continuous u) {χ : E → ℝ} (hχ : ContDiff ℝ 2 χ) (hχc : HasCompactSupport χ)
    (v : E) :
    Tendsto (fun t : ℝ => ∫ x, (u (x + t • v) + u (x - t • v) - 2 * u x) / t ^ 2 * χ x)
      (𝓝[>] 0) (𝓝 (∫ x, u x * iteratedFDeriv ℝ 2 χ x (fun _ => v)))

Module navigation

Module: Analysis/Convex/SecondOrder.

Previous: subgradient_expansion_of_hasFDerivAt_resolvent · Next: integral_mul_le_integral_mul_sum_iteratedFDeriv.

Source excerpt, lines 390–394 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Convex_SecondOrder

open MeasureTheory Set Filter
open scoped Topology
variable {E : Type*}
variable [NormedAddCommGroup E]
variable [InnerProductSpace ℝ E]
variable [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
Formal statement

theorem FunctionalInequalities.Analysis.tendsto_integral_secondDifference_mul_readable
    {u : E → ℝ} (hu : Continuous u) {χ : E → ℝ} (hχ : ContDiff ℝ 2 χ) (hχc : HasCompactSupport χ)
    (v : E) :
    Tendsto (fun t : ℝ => ∫ x, (u (x + t • v) + u (x - t • v) - 2 * u x) / t ^ 2 * χ x)
      (𝓝[>] 0) (𝓝 (∫ x, u x * iteratedFDeriv ℝ 2 χ x (fun _ => v))) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Convex/SecondOrder.lean#L388-L430 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Convex.SecondOrder`, declaration `FunctionalInequalities.Analysis.tendsto_integral_secondDifference_mul`; the repository is private at upload time).

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