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Product Rule for Weak Directional Derivatives

Proved
FunctionalInequalities.Analysis.HasWeakDerivAlong.mul_contDiff_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is the product rule for a weak directional derivative with a compactly supported C1C^1C1 multiplier.

Let EEE be a finite-dimensional real inner-product space equipped with its Borel measurable structure. Let f,g:E→Rf,g:E\to\mathbb{R}f,g:E→R and v∈Ev\in Ev∈E. Assume HasWeakDerivAlong f g v, meaning that ggg is the weak derivative of fff in direction vvv. Let χ:E→R\chi:E\to\mathbb{R}χ:E→R be C1C^1C1 and compactly supported.

Then the product χf\chi fχf has weak directional derivative

x↦χ(x)g(x)+Dχ(x)[v]f(x).x\mapsto \chi(x)g(x)+D\chi(x)[v]f(x).x↦χ(x)g(x)+Dχ(x)[v]f(x).

Here Dχ(x)[v]D\chi(x)[v]Dχ(x)[v] is represented by fderiv ℝ χ x v. The result is a general weak-calculus lemma for localized test functions.

Original Lean declaration header

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

theorem HasWeakDerivAlong.mul_contDiff {f g : E → ℝ} {v : E} (h : HasWeakDerivAlong f g v)
    {χ : E → ℝ} (hχ : ContDiff ℝ 1 χ) (hχc : HasCompactSupport χ) :
    HasWeakDerivAlong (fun x => χ x * f x) (fun x => χ x * g x + fderiv ℝ χ x v * f x) v

Module navigation

Module: Analysis/WeakDerivative/Basic.

Previous: hasWeakDerivAlong_of_lipschitz · Next: HasWeakDerivAlong.congr_ae.

Source excerpt, lines 113–115 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_WeakDerivative_Basic

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

theorem FunctionalInequalities.Analysis.HasWeakDerivAlong.mul_contDiff_readable {f g : E → ℝ} {v : E} (h : HasWeakDerivAlong f g v)
    {χ : E → ℝ} (hχ : ContDiff ℝ 1 χ) (hχc : HasCompactSupport χ) :
    HasWeakDerivAlong (fun x => χ x * f x) (fun x => χ x * g x + fderiv ℝ χ x v * f x) v := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/WeakDerivative/Basic.lean#L112-L218 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.WeakDerivative.Basic`, declaration `FunctionalInequalities.Analysis.HasWeakDerivAlong.mul_contDiff`; the repository is private at upload time).

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