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Weak Derivative From an L2 Difference Bound

Proved
FunctionalInequalities.Analysis.exists_hasWeakDerivAlong_of_sq_difference_le_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This formalizes the difference-quotient criterion associated with Nirenberg and Evans, PDE §5.8.2, Theorem 3(ii).

Let EEE be a finite-dimensional real inner-product normed space, let f∈L2(vol⁡)f\in L^2(\operatorname{vol})f∈L2(vol), and fix v∈Ev\in Ev∈E. Suppose there is C∈RC\in\mathbb RC∈R such that for every nonzero t∈Rt\in\mathbb Rt∈R with ∣t∣≤1|t|\le1∣t∣≤1,

∫E(f(x+tv)−f(x))2 dvol⁡(x)≤Ct2.\int_E\bigl(f(x+tv)-f(x)\bigr)^2\,d\operatorname{vol}(x)\le Ct^2.∫E​(f(x+tv)−f(x))2dvol(x)≤Ct2.

Then there exists g∈L2(vol⁡)g\in L^2(\operatorname{vol})g∈L2(vol) such that ggg is a weak derivative of fff along vvv.

The theorem is an L2L^2L2 existence criterion; it does not identify the derivative uniquely by an explicit pointwise formula.

Original Lean declaration header

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

theorem exists_hasWeakDerivAlong_of_sq_difference_le
    {f : E → ℝ} (hf : MemLp f 2 (volume : Measure E)) (v : E) {C : ℝ}
    (hdiff : ∀ t : ℝ, t ≠ 0 → |t| ≤ 1 →
      ∫ x, (f (x + t • v) - f x) ^ 2 ∂(volume : Measure E) ≤ C * t ^ 2) :
    ∃ g : E → ℝ, HasWeakDerivAlong f g v ∧ MemLp g 2 (volume : Measure E)

Module navigation

Module: Analysis/WeakDerivative/Mollification.

Definition modules: Analysis/WeakDerivative/Basic.

Supporting theorems: quotient_pairing_tendsto.

Previous: quotient_pairing_tendsto.

Source excerpt, lines 189–193 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_WeakDerivative_Mollification

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

theorem FunctionalInequalities.Analysis.exists_hasWeakDerivAlong_of_sq_difference_le_readable
    {f : E → ℝ} (hf : MemLp f 2 (volume : Measure E)) (v : E) {C : ℝ}
    (hdiff : ∀ t : ℝ, t ≠ 0 → |t| ≤ 1 →
      ∫ x, (f (x + t • v) - f x) ^ 2 ∂(volume : Measure E) ≤ C * t ^ 2) :
    ∃ g : E → ℝ, HasWeakDerivAlong f g v ∧ MemLp g 2 (volume : Measure E) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/WeakDerivative/Mollification.lean#L186-L269 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.WeakDerivative.Mollification`, declaration `FunctionalInequalities.Analysis.exists_hasWeakDerivAlong_of_sq_difference_le`; the repository is private at upload time).

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