High-contrast homogenization: Provider.PolynomialHomogenization.NormalizedRootCoefficient #
Imported from the Apache-2.0 HighContrastHomogenization development at commit
7a13dbcd8d6609264a713373f5c69ceeac870472.
Exact identity normalization of a coefficient sample #
The symmetric part of the comparison coefficient is normalized by its exact projective square root. Before the affine pullback, the coefficient is recentered by the comparison skew part and multiplied by the scalar used in that square root. The resulting constant comparison matrix is exactly the identity; no rounded grid enters this identity.
Positive scalar multiplication on the qualitative coefficient space.
Equations
- HCPolySupport.HighContrast.CoeffSpace.positiveScale c hc a = ⟨c • ↑a, ⋯⟩
Instances For
The positive scalar action has its expected pointwise representative.
Restriction to a Chapter 2 domain is an a.e. scalar rescaling.
The exact normalized root is positive definite.
The exact normalized root squares to the scalar-normalized matrix.
The operator norm of the exact normalized root is its projective eccentricity.
The inverse of the exact normalized root has operator norm at most one.
The coefficient sample after skew recentering and exact scalar normalization.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The exactly normalized coefficient produces a compatible reference-cube family for every parent adapted domain.