Smoothing by a tempered distribution: convolving a tempered distribution
u with a Schwartz function φ (via the family of translations
x ↦ u(φ(·−x))) produces a smooth function.
The Fréchet derivative of z ↦ L(ψ(·−z)) at x evaluated on h equals
L(∂_{-h} ψ (·−x)): differentiating the family of translations in the
spatial variable produces a line derivative of ψ (in the opposite
direction) inside L.
Line derivative of the smoothed function: the directional derivative of
x ↦ u(φ(·−x)) along m equals u applied to ∂_{-m} φ translated to x.
This is the distributional identity used to differentiate the smoothing.
Evaluation of a multivariate complex polynomial at a real Euclidean point,
viewed as a function EuclideanSpace ℝ (Fin n) → ℂ.
Instances For
The polynomial P has a polynomial lower bound of degree m with
constant C > 0 if, for every ξ of norm larger than 1/C, the
inequality ‖P(ξ)‖ ≥ C · ‖ξ‖^m holds.
Instances For
The pointwise reciprocal of a polynomial: ξ ↦ 1 / P(ξ), with
P(ξ) = 0 mapped to 0 by the inverse convention.