The L² contraction for the general regularizing profile #
Probability averaging by regMollifierKernel does not increase the spatial
L² norm. This is the contraction estimate in lem:reg-mollifier-bounds.
The bilinear scalar multiplication map used in the mollifier contraction estimate.
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The continuous scalar multiplication map used to bound the mollifier action.
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The dilated mollifier kernel expressed on the native coordinate space.
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- CKN.Leray.scalarProfileOnVec3 ρ ε hε x = CKN.Leray.regMollifierKernel ρ ε hε (WithLp.toLp 2 x)
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noncomputable def
CKN.Leray.scalarNormOnVec3
(f : Foundation.Parabolic.L2Vec3 → Foundation.Parabolic.L2Vec3)
:
The pointwise norm of a Hilbert-valued map expressed on coordinate vectors.
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- CKN.Leray.scalarNormOnVec3 f x = ‖f (WithLp.toLp 2 x)‖
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noncomputable def
CKN.Leray.scalarConvolutionMajor
(f : Foundation.Parabolic.L2Vec3 → Foundation.Parabolic.L2Vec3)
(ρ : RegMollifierProfile)
(ε : ℝ)
(hε : 0 < ε)
:
The convolution of the mollifier kernel with the pointwise norm of a vector field.
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theorem
CKN.Leray.regMollifyVector_eLpNorm_two_le
(ρ : RegMollifierProfile)
(ε : ℝ)
(hε : 0 < ε)
{f : Foundation.Parabolic.L2Vec3 → Foundation.Parabolic.L2Vec3}
(hf : MeasureTheory.MemLp f 2 MeasureTheory.volume)
:
Convolution by a normalized nonnegative regularizing kernel is a
contraction on spatial L², as required by lem:reg-mollifier-bounds.