Normalized shrinking bump convolutions converge in finite Lp
ProvedMeasureTheory.tendsto_eLpNorm_sub_normed_convolutionapproximationconvolutionsobolev-spacesweak-derivatives
Let and . If are smooth nonnegative normalized bumps centered at zero whose support radii tend to zero, then
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.