The spatial mollifier of lem:aniso:comparison #
The comparison argument mollifies in space with the standard family
η_ε = ε^{-m} η(·/ε), where η is a fixed smooth nonnegative kernel of unit mass supported
in the unit ball. The profile η is the normalized bump kernel of the ambient library, and
the family is obtained from it by the explicit rescaling, so that the scaling identities
below are available.
The bounds recorded here are the two that the commutator estimate of DiPerna and Lions needs:
the kernel has unit mass and is supported in the ball of radius ε, and the integral of the
length of its gradient is C_η/ε with C_η the corresponding integral for the profile. The
ball is the one of the sup norm of Vec m, which is the norm carried by that type.
The fixed profile #
The fixed mollifier profile η: the normalized smooth bump of radius one on Vec m.
Equations
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The profile is supported in the unit ball.
The rescaled family #
The rescaled kernel η_ε(x) = ε^{-m} η(x/ε).
Equations
- CIV.mollifierKernel m ε x = (ε ^ m)⁻¹ * CIV.mollifierProfile m (ε⁻¹ • x)
Instances For
The kernel η_ε has unit mass.
The gradient of the kernel #
The gradient constant C_η = ∫ ∑_i |∂_iη| of the fixed profile.
Equations
- CIV.mollifierGradConst m = ∫ (x : CKN.Vec m), ∑ i : Fin m, |(fderiv ℝ (CIV.mollifierProfile m) x) (CKN.basisVec i)|
Instances For
The scaling of the gradient integral: ∫ |∇η_ε| = C_η/ε.