Smooth a.e. approximation preserving a homogeneous weak gradient bound
ProvedHunterPDE.Sobolev.exists_smooth_ae_approx_gradient_boundmollificationsobolev-spacesweak-derivatives
Let , , and let have all weak first partial derivatives in . If the Euclidean length of its weak gradient has norm at most , there is a sequence of globally smooth functions converging to almost everywhere, with for every . No global integrability or decay assumption is imposed on . Compactly supported nonnegative probability mollifiers provide the approximants: commute weak derivatives with convolution, use convexity of the Euclidean norm and Young’s inequality, and choose scales tending to zero. This interface isolates homogeneous smoothing, independently of Morrey or continuous representatives.
Preamble
import Definitions.Def_HunterPDE_Shared_WeakDeriv import Mathlib.Analysis.Calculus.Gradient.Basic import Mathlib.Analysis.Calculus.ContDiff.Basic import Mathlib.MeasureTheory.Function.LpSeminorm.Basic open MeasureTheory Filter open scoped Topology ENNReal NNReal
Formal statement
theorem HunterPDE.Sobolev.exists_smooth_ae_approx_gradient_bound {n : ℕ} (hn : 1 ≤ n)
(p : ℝ) (hp : 1 ≤ p) (f : EuclideanSpace ℝ (Fin n) → ℝ)
(hf : ∀ i : Fin n, ∃ g : EuclideanSpace ℝ (Fin n) → ℝ,
HunterPDE.Shared.HasWeakDeriv Set.univ (Pi.single i 1) f g ∧
MemLp g (ENNReal.ofReal p) volume)
(C : ℝ≥0)
(hC : eLpNorm (HunterPDE.Shared.weakGradNorm Set.univ f) (ENNReal.ofReal p) volume ≤
(C : ℝ≥0∞)) :
∃ v : ℕ → EuclideanSpace ℝ (Fin n) → ℝ,
(∀ j, ContDiff ℝ ((⊤ : ℕ∞) : WithTop ℕ∞) (v j)) ∧
(∀ j, eLpNorm (fun z => ‖gradient (v j) z‖) (ENNReal.ofReal p) volume ≤
(C : ℝ≥0∞)) ∧
∀ᵐ x ∂volume, Tendsto (fun j => v j x) atTop (𝓝 (f x)) := by sorrySource
Hunter, Notes on Partial Differential Equations (revised 6/18/2014), https://www.math.ucdavis.edu/~hunter/pdes/pde_notes.pdf, printed pp. 68–70, Theorems 3.36–3.37; homogeneous mollification and dense-set extension in the proof of Theorem 3.37.