Derivative of a Mollified Lipschitz Map
ProvedFunctionalInequalities.Analysis.hasFDerivAt_convolution_normed_of_lipschitz_readableThis establishes the derivative formula for convolution with a normalized smooth bump.
Let be a finite-dimensional real inner-product space with its Borel structure. Let be Lipschitz with Lipschitz bound , let be a smooth compactly supported bump centered at , and let . Then the convolution of with the normalized bump has a Fréchet derivative at given by the convolution of the almost-everywhere derivative of :
In Lean, the convolution uses ContinuousLinearMap.lsmul, volume measure, and fderiv ℝ F. This is a supporting result for mollification identities.
Original Lean declaration header
Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.
theorem hasFDerivAt_convolution_normed_of_lipschitz
{F : E → E} {G : NNReal} (hF : LipschitzWith G F) (φ : ContDiffBump (0 : E)) (x : E) :
HasFDerivAt (φ.normed (volume : Measure E) ⋆[ContinuousLinearMap.lsmul ℝ ℝ, (volume : Measure E)] F)
((φ.normed (volume : Measure E) ⋆[ContinuousLinearMap.lsmul ℝ ℝ, (volume : Measure E)]
fderiv ℝ F) x) x
Module navigation
Module: Analysis/Mollification/Basic.
Supporting theorems: integral_fderiv_kernel_eq.
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Source excerpt, lines 516–520 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Mollification_Basic
open MeasureTheory
open scoped Convolution
variable {E : Type*}
variable [NormedAddCommGroup E] [InnerProductSpace ℝ E] [FiniteDimensional ℝ E] [MeasurableSpace E]
variable [BorelSpace E]
theorem FunctionalInequalities.Analysis.hasFDerivAt_convolution_normed_of_lipschitz_readable
{F : E → E} {G : NNReal} (hF : LipschitzWith G F) (φ : ContDiffBump (0 : E)) (x : E) :
HasFDerivAt (φ.normed (volume : Measure E) ⋆[ContinuousLinearMap.lsmul ℝ ℝ, (volume : Measure E)] F)
((φ.normed (volume : Measure E) ⋆[ContinuousLinearMap.lsmul ℝ ℝ, (volume : Measure E)]
fderiv ℝ F) x) x := by sorry