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Smooth compactly supported functions are dense in L^p(R^d), 1 ≤ p < ∞

Proved
DbarRegularity.exists_contDiff_hasCompactSupport_eLpNorm_sub_le

by Mazecto · Oct 12, 2026 · Mathlib 0df444a (Lean v4.33.1)

approximationlp-spacesmeasure-theory

Let d≥0d\ge0d≥0 and 1≤p<∞1\le p<\infty1≤p<∞. For every f∈Lp(Rd;C)f\in L^p(\mathbb{R}^d;\mathbb{C})f∈Lp(Rd;C) and every δ>0\delta>0δ>0 there is a C∞C^\inftyC∞ function h:Rd→Ch:\mathbb{R}^d\to\mathbb{C}h:Rd→C with compact support such that ∥f−h∥p≤δ\|f-h\|_p\le\delta∥f−h∥p​≤δ.

So smooth compactly supported functions are dense in Lp(Rd)L^p(\mathbb{R}^d)Lp(Rd) for 1≤p<∞1\le p<\infty1≤p<∞.

Formalization Note. Rd\mathbb{R}^dRd is EuclideanSpace ℝ (Fin d) with Lebesgue measure volume; ppp is in ℝ≥0∞ with 1 ≤ p and p ≠ ∞. Smoothness is ContDiff ℝ ((⊤ : ℕ∞) : WithTop ℕ∞) h (i.e. C∞C^\inftyC∞, not analytic), compact support is HasCompactSupport h, and the error is eLpNorm (f - h) p volume ≤ ENNReal.ofReal δ.

Preamble
import Mathlib.Analysis.Calculus.BumpFunction.Convolution
import Mathlib.Analysis.Calculus.BumpFunction.FiniteDimension
import Mathlib.Analysis.Calculus.ContDiff.Convolution
import Mathlib.MeasureTheory.Function.ContinuousMapDense
import Mathlib.MeasureTheory.Measure.Haar.InnerProductSpace
import Mathlib.MeasureTheory.Measure.Haar.Unique
import Mathlib.Analysis.InnerProductSpace.PiL2
Formal statement
namespace DbarRegularity

open MeasureTheory Set Metric ContinuousLinearMap
open scoped ENNReal Convolution

/-- Smooth compactly supported functions are dense in `L^p(ℝ^d; ℂ)`, `1 ≤ p < ∞`. -/
theorem exists_contDiff_hasCompactSupport_eLpNorm_sub_le {d : ℕ} {p : ℝ≥0∞} (hp1 : 1 ≤ p)
    (hp : p ≠ ∞) (f : EuclideanSpace ℝ (Fin d) → ℂ) (hf : MemLp f p volume) (δ : ℝ)
    (hδ : 0 < δ) :
    ∃ h : EuclideanSpace ℝ (Fin d) → ℂ, ContDiff ℝ ((⊤ : ℕ∞) : WithTop ℕ∞) h ∧ HasCompactSupport h ∧
      eLpNorm (f - h) p volume ≤ ENNReal.ofReal δ := by sorry

end DbarRegularity
Source
E. M. Stein, Singular Integrals and Differentiability Properties of Functions, Princeton Mathematical Series 30, Princeton University Press (1970), Chapter II, § 3.2, p. 35

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