Genuine derivative bounds for polynomially weighted Gaussian edges #
The scalar derivative polynomials are the actual ones from FlatCutoff.
Compactness bounds the derivatives of the smooth coefficient; the full
Fréchet product rule then gives estimates for all joint derivative tensors.
Coefficient mass, given by ∑ i ∈ Finset.range (p.natDegree + 1), |p.coeff i|.
Equations
- NavierStokes.EdgeWeightJets.coefficientMass p = ∑ i ∈ Finset.range (p.natDegree + 1), |p.coeff i|
Instances For
Jet mass, given by 1 + ∑ i ∈ Finset.range (n + 1), coefficientMass (FlatCutoff.jetPolynomial c p i).
Equations
- NavierStokes.EdgeWeightJets.jetMass c p n = 1 + ∑ i ∈ Finset.range (n + 1), NavierStokes.EdgeWeightJets.coefficientMass (NavierStokes.FlatCutoff.jetPolynomial c p i)
Instances For
Jet order, given by ∑ i ∈ Finset.range (n + 1), (FlatCutoff.jetPolynomial c p i).natDegree.
Equations
- NavierStokes.EdgeWeightJets.jetOrder c p n = ∑ i ∈ Finset.range (n + 1), (NavierStokes.FlatCutoff.jetPolynomial c p i).natDegree
Instances For
A bound for every actual joint derivative tensor through a fixed order. Only smoothness of the coefficient and compactness of the parameter set are assumed; no weighted derivative estimates are inputs.
Every full derivative tensor vanishes on the joining hyperplane.
Radial iterate as an element of ℕ → E × ℝ → ℝ | 0 => f | n + 1 => fun y => fderiv ℝ (radialIterate f n) y (0, 1).
Equations
- NavierStokes.EdgeWeightJets.radialIterate f 0 = f
- NavierStokes.EdgeWeightJets.radialIterate f n.succ = fun (y : E × ℝ) => (fderiv ℝ (NavierStokes.EdgeWeightJets.radialIterate f n) y) (0, 1)
Instances For
The left side contains the actual nested radial and parameter derivatives, and is controlled by the full joint tensor of total order.
The vector-valued local version needs only genuine smoothness on an open neighborhood of the compact parameter-coordinate region.
Any fixed nonnegative power of the radial coordinate can be retained inside the actual smooth coefficient. Inverse powers are already arbitrary.