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Localized Weak Product Data

Proved
FunctionalInequalities.Analysis.HasWeakDerivAlong.compact_mul_data_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is a localized product rule that also supplies support and integrability information. It is listed as a partial formalization of Theorem 2.5 of Letwin (2026).

Let n∈Nn\in\mathbb{N}n∈N, let f,df:EuclideanSpace R (Fin n)→Rf,df:\mathrm{EuclideanSpace}\,\mathbb{R}\,(\mathrm{Fin}\,n)\to\mathbb{R}f,df:EuclideanSpaceR(Finn)→R, and let vvv be a vector in the same space. Assume:

  1. HasWeakDerivAlong f df v.
  2. For every compact SSS, df∈L2(volume⁡∣S)df\in L^2(\operatorname{volume}|_S)df∈L2(volume∣S​).
  3. For every compact SSS, f∈L∞(volume⁡∣S)f\in L^\infty(\operatorname{volume}|_S)f∈L∞(volume∣S​), expressed as MemLp with exponent ⊤\top⊤.
  4. ψ\psiψ is C1C^1C1 and compactly supported.

Then HasWeakDerivAlong holds for ψf\psi fψf with derivative

x↦ψ(x)df(x)+Dψ(x)[v]f(x).x\mapsto \psi(x)df(x)+D\psi(x)[v]f(x).x↦ψ(x)df(x)+Dψ(x)[v]f(x).

Moreover, both this product and its displayed weak derivative have compact support, and the derivative belongs globally to L2(volume⁡)L^2(\operatorname{volume})L2(volume). This packages the regularity properties needed for compactly supported testing.

Original Lean declaration header

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

theorem HasWeakDerivAlong.compact_mul_data {n : ℕ}
    {f df : EuclideanSpace ℝ (Fin n) → ℝ} {v : EuclideanSpace ℝ (Fin n)}
    (h : HasWeakDerivAlong f df v)
    (hdf : ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp df 2 ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S))
    (hf : ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp f (⊤ : ENNReal) ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S))
    {ψ : EuclideanSpace ℝ (Fin n) → ℝ}
    (hψ : ContDiff ℝ 1 ψ) (hψc : HasCompactSupport ψ) :
    HasWeakDerivAlong (fun x => ψ x * f x)
      (fun x => ψ x * df x + fderiv ℝ ψ x v * f x) v ∧
    HasCompactSupport (fun x => ψ x * f x) ∧
    HasCompactSupport (fun x => ψ x * df x + fderiv ℝ ψ x v * f x) ∧
    MemLp (fun x => ψ x * df x + fderiv ℝ ψ x v * f x) 2
      (volume : Measure (EuclideanSpace ℝ (Fin n)))

Module navigation

Module: Analysis/WeakDerivative/Calculus.

Definition modules: Analysis/WeakDerivative/Basic.

Supporting theorems: HasWeakDerivAlong.mul_contDiff, memLp_mul_of_hasCompactSupport.

Previous: integral_flux_eq_neg_forcing_of_bounded_weak_test · Next: integral_compact_flux_eq_neg_forcing_of_global_bounded_weak_test.

Source excerpt, lines 1355–1369 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_WeakDerivative_Calculus

open MeasureTheory Set Filter
Formal statement

theorem FunctionalInequalities.Analysis.HasWeakDerivAlong.compact_mul_data_readable {n : ℕ}
    {f df : EuclideanSpace ℝ (Fin n) → ℝ} {v : EuclideanSpace ℝ (Fin n)}
    (h : HasWeakDerivAlong f df v)
    (hdf : ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp df 2 ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S))
    (hf : ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp f (⊤ : ENNReal) ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S))
    {ψ : EuclideanSpace ℝ (Fin n) → ℝ}
    (hψ : ContDiff ℝ 1 ψ) (hψc : HasCompactSupport ψ) :
    HasWeakDerivAlong (fun x => ψ x * f x)
      (fun x => ψ x * df x + fderiv ℝ ψ x v * f x) v ∧
    HasCompactSupport (fun x => ψ x * f x) ∧
    HasCompactSupport (fun x => ψ x * df x + fderiv ℝ ψ x v * f x) ∧
    MemLp (fun x => ψ x * df x + fderiv ℝ ψ x v * f x) 2
      (volume : Measure (EuclideanSpace ℝ (Fin n))) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/WeakDerivative/Calculus.lean#L1353-L1382 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.WeakDerivative.Calculus`, declaration `FunctionalInequalities.Analysis.HasWeakDerivAlong.compact_mul_data`; the repository is private at upload time).

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