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Weak Product Rule from Local Essential Boundedness

Proved
FunctionalInequalities.Analysis.HasWeakDerivAlong.mul_of_locally_bounded_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readableletwin2026log-concave

This is the fully local version of the weak product rule. It is listed as a partial formalization of Theorem 2.5 of Letwin (arXiv:2607.24164v1).

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

  1. fff has weak derivative dfdfdf along vvv, and ggg has weak derivative dgdgdg along vvv.
  2. For every compact SSS, f,g∈L∞(volume⁡∣S)f,g\in L^\infty(\operatorname{volume}|_S)f,g∈L∞(volume∣S​).
  3. For every compact SSS, df,dg∈L2(volume⁡∣S)df,dg\in L^2(\operatorname{volume}|_S)df,dg∈L2(volume∣S​).

Then fgfgfg has weak derivative

x↦df(x)g(x)+f(x)dg(x),x\mapsto df(x)g(x)+f(x)dg(x),x↦df(x)g(x)+f(x)dg(x),

and this derivative belongs to L2(volume⁡∣S)L^2(\operatorname{volume}|_S)L2(volume∣S​) for every compact SSS. No global boundedness or classical C1C^1C1 regularity is assumed.

Original Lean declaration header

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

theorem HasWeakDerivAlong.mul_of_locally_bounded {n : ℕ}
    {f df g dg : EuclideanSpace ℝ (Fin n) → ℝ}
    {v : EuclideanSpace ℝ (Fin n)}
    (hf : HasWeakDerivAlong f df v) (hg : HasWeakDerivAlong g dg v)
    (hf_top : ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp f (⊤ : ENNReal) ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S))
    (hg_top : ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp g (⊤ : ENNReal) ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S))
    (hdf2 : ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp df 2 ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S))
    (hdg2 : ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp dg 2 ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S)) :
    HasWeakDerivAlong (fun x => f x * g x)
      (fun x => df x * g x + f x * dg x) v ∧
    ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp (fun x => df x * g x + f x * dg x) 2
        ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S)

Module navigation

Module: Analysis/WeakDerivative/Calculus.

Definition modules: Analysis/WeakDerivative/Basic.

Supporting theorems: HasWeakDerivAlong.mul_contDiff, HasWeakDerivAlong.mul_of_locally_memLp_two, memLp_mul_of_hasCompactSupport.

Previous: hasWeakDerivAlong_exp_neg_of_lipschitz · Next: integral_weakDeriv_mul_eq_swap.

Source excerpt, lines 671–687 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_WeakDerivative_Calculus

open MeasureTheory Set Filter Metric
Formal statement

theorem FunctionalInequalities.Analysis.HasWeakDerivAlong.mul_of_locally_bounded_readable {n : ℕ}
    {f df g dg : EuclideanSpace ℝ (Fin n) → ℝ}
    {v : EuclideanSpace ℝ (Fin n)}
    (hf : HasWeakDerivAlong f df v) (hg : HasWeakDerivAlong g dg v)
    (hf_top : ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp f (⊤ : ENNReal) ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S))
    (hg_top : ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp g (⊤ : ENNReal) ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S))
    (hdf2 : ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp df 2 ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S))
    (hdg2 : ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp dg 2 ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S)) :
    HasWeakDerivAlong (fun x => f x * g x)
      (fun x => df x * g x + f x * dg x) v ∧
    ∀ S : Set (EuclideanSpace ℝ (Fin n)), IsCompact S →
      MemLp (fun x => df x * g x + f x * dg x) 2
        ((volume : Measure (EuclideanSpace ℝ (Fin n))).restrict S) := by sorry
Source
Source: Letwin, The KLS constant is O(log^(1/4) n) (arXiv:2607.24164v1), Theorem 2.5. Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/WeakDerivative/Calculus.lean#L669-L817 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.WeakDerivative.Calculus`, declaration `FunctionalInequalities.Analysis.HasWeakDerivAlong.mul_of_locally_bounded`; the repository is private at upload time).

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