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Normalized shrinking bump convolutions converge in finite Lp

Proved
MeasureTheory.tendsto_eLpNorm_sub_normed_convolution

by Mazecto · Oct 10, 2026 · Mathlib 0df444a (Lean v4.33.1)

approximationconvolutionsobolev-spacesweak-derivatives

Let 1≤p<∞1\le p<\infty1≤p<∞ and d∈Lp(Rn)d\in L^p(\mathbb R^n)d∈Lp(Rn). If ρm\rho_mρm​ are smooth nonnegative normalized bumps centered at zero whose support radii tend to zero, then

∥d−ρm∗d∥Lp⟶0.\|d-\rho_m*d\|_{L^p}\longrightarrow0.∥d−ρm​∗d∥Lp​⟶0.

This is the approximate identity convergence underlying Hunter Theorem 1.28 and the proof of Theorem 3.24. No Sobolev membership or derivative assumptions are needed. Dimension zero is included.

Preamble
import Definitions.Def_HunterPDE_Sobolev_SobolevSpace
import Mathlib.Analysis.Calculus.BumpFunction.Convolution
open MeasureTheory Filter ContinuousLinearMap
open HunterPDE.Sobolev
open scoped Convolution Topology
Formal statement
theorem MeasureTheory.tendsto_eLpNorm_sub_normed_convolution {n : ℕ} {p : ENNReal} (hp : 1 ≤ p) (hptop : p ≠ ⊤)
    (φ : ℕ → ContDiffBump (0 : EuclideanSpace ℝ (Fin n)))
    (hφ : Tendsto (fun m => (φ m).rOut) atTop (𝓝 0))
    (d : EuclideanSpace ℝ (Fin n) → ℝ) (hd : MemLp d p volume) :
    Tendsto (fun m => eLpNorm (d - ((φ m).normed volume ⋆[lsmul ℝ ℝ, volume] d)) p volume)
      atTop (𝓝 0) := by sorry
Source
John K. Hunter, Notes on Partial Differential Equations, revised 6/18/2014, https://www.math.ucdavis.edu/~hunter/pdes/pde_notes.pdf, Theorem 1.28 (printed pp. 12–13), Theorem 3.19 (printed p. 55), and proof of Theorem 3.24 (printed p. 59). Normalized shrinking smooth bumps implement the same approximate identity argument.

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