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Mollification Convergence for Compactly Supported Continuous Functions

Proved
FunctionalInequalities.Analysis.Mollification.tendsto_eLpNorm_convolution_sub_of_continuous_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This establishes L2L^2L2 convergence of mollifications in the continuous compactly supported case.

Let VVV be a finite-dimensional real inner-product space with an additive Haar measure mmm, let EEE be a complete normed real vector space, and let (φn)n∈N(\varphi_n)_{n\in\mathbb{N}}(φn​)n∈N​ be smooth bumps centered at 000. Assume their outer radii satisfy

rout(φn)⟶0.r_{\mathrm{out}}(\varphi_n)\longrightarrow 0.rout​(φn​)⟶0.

For every continuous compactly supported function f:V→Ef:V\to Ef:V→E,

eLpNorm(φn,normed∗f−f,2,m)⟶0.eLpNorm(\varphi_{n,\mathrm{normed}}\ast f-f,2,m)\longrightarrow 0.eLpNorm(φn,normed​∗f−f,2,m)⟶0.

The convergence is in the extended L2L^2L2 norm, whose values lie in [0,∞][0,\infty][0,∞]. This is the basic approximation result used to extend mollification convergence from regular functions to general L2L^2L2 functions.

Original Lean declaration header

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

theorem tendsto_eLpNorm_convolution_sub_of_continuous {φ : ℕ → ContDiffBump (0 : V)}
    (hφ : Tendsto (fun n => (φ n).rOut) atTop (𝓝 0)) {f : V → E} (hf : Continuous f)
    (hfc : HasCompactSupport f) :
    Tendsto (fun n => eLpNorm ((φ n).normed m ⋆[ContinuousLinearMap.lsmul ℝ ℝ, m] f - f) 2 m)
      atTop (𝓝 0)

Module navigation

Module: Analysis/Mollification/Basic.

Previous: lintegral_enorm_convolution_sq_le · Next: tendsto_eLpNorm_convolution_sub.

Source excerpt, lines 188–192 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Mollification_Basic

open MeasureTheory Filter Topology Metric InnerProductSpace
open scoped Convolution ContDiff ENNReal RealInnerProductSpace
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [FiniteDimensional ℝ V]
  [MeasurableSpace V] [BorelSpace V] {m : MeasureTheory.Measure V} [m.IsAddHaarMeasure]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E]
Formal statement

theorem FunctionalInequalities.Analysis.Mollification.tendsto_eLpNorm_convolution_sub_of_continuous_readable {φ : ℕ → ContDiffBump (0 : V)}
    (hφ : Tendsto (fun n => (φ n).rOut) atTop (𝓝 0)) {f : V → E} (hf : Continuous f)
    (hfc : HasCompactSupport f) :
    Tendsto (fun n => eLpNorm ((φ n).normed m ⋆[ContinuousLinearMap.lsmul ℝ ℝ, m] f - f) 2 m)
      atTop (𝓝 0) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Mollification/Basic.lean#L186-L233 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Mollification.Basic`, declaration `FunctionalInequalities.Analysis.Mollification.tendsto_eLpNorm_convolution_sub_of_continuous`; the repository is private at upload time).

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