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Difference Quotient Pairing Limit

Proved
FunctionalInequalities.Analysis.quotient_pairing_tendsto_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is a technical difference-quotient limit for an L2L^2L2 function.

Let EEE be a finite-dimensional real inner-product normed space, let f∈L2(vol⁡)f\in L^2(\operatorname{vol})f∈L2(vol), let v∈Ev\in Ev∈E, and let ψ:E→R\psi:E\to\mathbb Rψ:E→R be C1C^1C1 with compact support. As t→0t\to0t→0 through nonzero real values,

∫Et−1(f(x−tv)−f(x))ψ(x) dvol⁡(x)⟶∫Ef(x) Dψ(x)[v] dvol⁡(x).\int_E t^{-1}\bigl(f(x-tv)-f(x)\bigr)\psi(x)\,d\operatorname{vol}(x) \longrightarrow \int_E f(x)\,D\psi(x)[v]\,d\operatorname{vol}(x).∫E​t−1(f(x−tv)−f(x))ψ(x)dvol(x)⟶∫E​f(x)Dψ(x)[v]dvol(x).

The limit is taken in the punctured neighborhood filter 𝓝[≠] 0. This identity is an integration-pairing ingredient for extracting weak derivatives from difference quotients.

Original Lean declaration header

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

private lemma quotient_pairing_tendsto {f : E → ℝ}
    (hf : MemLp f 2 (volume : Measure E)) (v : E)
    {ψ : E → ℝ} (hψ : ContDiff ℝ 1 ψ) (hψc : HasCompactSupport ψ) :
    Tendsto
      (fun t : ℝ => ∫ x, (t⁻¹ * (f (x - t • v) - f x)) * ψ x)
      (𝓝[≠] 0) (𝓝 (∫ x, f x * fderiv ℝ ψ x v))

Module navigation

Module: Analysis/WeakDerivative/Mollification.

Previous: fderiv_convolution_eq_of_hasWeakDerivAlong · Next: exists_hasWeakDerivAlong_of_sq_difference_le.

Source excerpt, lines 134–139 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_WeakDerivative_Mollification

open MeasureTheory Set Filter
open scoped Topology
variable {E : Type*}
variable [NormedAddCommGroup E] [InnerProductSpace ℝ E] [FiniteDimensional ℝ E] [MeasurableSpace E]
variable [BorelSpace E]
Formal statement
 lemma FunctionalInequalities.Analysis.quotient_pairing_tendsto_readable {f : E → ℝ}
    (hf : MemLp f 2 (volume : Measure E)) (v : E)
    {ψ : E → ℝ} (hψ : ContDiff ℝ 1 ψ) (hψc : HasCompactSupport ψ) :
    Tendsto
      (fun t : ℝ => ∫ x, (t⁻¹ * (f (x - t • v) - f x)) * ψ x)
      (𝓝[≠] 0) (𝓝 (∫ x, f x * fderiv ℝ ψ x v)) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/WeakDerivative/Mollification.lean#L134-L184 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.WeakDerivative.Mollification`, declaration `_private.FunctionalInequalities.Analysis.WeakDerivative.Mollification.0.FunctionalInequalities.Analysis.quotient_pairing_tendsto`; the repository is private at upload time).

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