Iterated spatial derivatives of the regularizing convolution #
The coordinate derivatives in lem:reg-mollifier-bounds are evaluations of
the iterated Fréchet derivative on tuples of coordinate vectors.
Scalar multiplication as a bilinear map on the real vector L² space.
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The continuous bilinear scalar action on the real vector L² space.
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theorem
CKN.Leray.allDerivativeScalarVectorConvolution_hasFDerivAt
(k : Foundation.Parabolic.L2Vec3 → ℝ)
(hk : ContDiff ℝ 1 k)
(hkc : HasCompactSupport k)
{f : Foundation.Parabolic.L2Vec3 → Foundation.Parabolic.L2Vec3}
(hf : MeasureTheory.LocallyIntegrable f MeasureTheory.volume)
(x : Foundation.Parabolic.L2Vec3)
:
A smooth compactly supported scalar kernel differentiates through vector convolution under local integrability.
theorem
CKN.Leray.allDerivativeScalarVectorConvolution_directional_deriv
(k : Foundation.Parabolic.L2Vec3 → ℝ)
(hk : ContDiff ℝ 2 k)
(hkc : HasCompactSupport k)
{f : Foundation.Parabolic.L2Vec3 → Foundation.Parabolic.L2Vec3}
(hf : MeasureTheory.LocallyIntegrable f MeasureTheory.volume)
(x v : Foundation.Parabolic.L2Vec3)
:
(fderiv ℝ (MeasureTheory.convolution k f allDerivativeScalarVectorAction MeasureTheory.volume) x) v = ∫ (y : Foundation.Parabolic.L2Vec3), (fderiv ℝ k y) v • f (x - y)
The derivative of vector convolution is convolution with the directional derivative of the scalar kernel.
theorem
CKN.Leray.regMollifierKernel_iteratedDerivative_eLpNorm_two
(ρ : RegMollifierProfile)
(ε : ℝ)
(hε : 0 < ε)
(n : ℕ)
(v : Fin n → Foundation.Parabolic.L2Vec3)
:
MeasureTheory.eLpNorm (fun (y : Foundation.Parabolic.L2Vec3) => (iteratedFDeriv ℝ n (regMollifierKernel ρ ε hε) y) v) 2
MeasureTheory.volume = ENNReal.ofReal (ε ^ (-(3 / 2) - ↑n)) * MeasureTheory.eLpNorm (fun (y : Foundation.Parabolic.L2Vec3) => (iteratedFDeriv ℝ n (⇑ρ.rho) y) v) 2
MeasureTheory.volume
The dilated kernel derivative in any ordered set of directions has the
exact three-dimensional L² scaling for lem:reg-mollifier-bounds.