High-contrast homogenization: Analytic.AntiVacuityInstances #
Imported from the Apache-2.0 HighContrastHomogenization development at commit
7a13dbcd8d6609264a713373f5c69ceeac870472.
The admissible-test families at the domains the estimates read #
The two dual-norm estimates of
t.random.homogenization are read on two concrete
families of domains: the bounded convex domains carrying the Dirichlet estimate
e.random.dirichlet, and the ellipsoids
E_r of e.homogenized.ellipsoids carrying the
corrector estimate e.random.corrector.
This module instantiates the general nonemptiness of the admissible-test family
at exactly those two domain classes, so neither estimate is satisfied by the
absence of anything to estimate.
The one geometric ingredient is a bridge between the ambient supremum metric,
in which the smooth bump of the witness is built, and the Euclidean radii in
which the domains are described: a supremum-norm ball of radius r / √d sits
inside the Euclidean ball of radius r, since a Euclidean square norm is at most
d times the square of the supremum norm.
A sup-norm ball of radius r / √d sits inside the Euclidean ball of radius
r; this is the bridge between the ambient metric and the Euclidean radii.
The admissible-test family of the corrector estimate is not empty. The
family of the H_underlined^{-1} dual norm on an ellipsoid contains a nonzero field, so
the estimate e.random.corrector is not
satisfied by the absence of anything to estimate.
The admissible-test family of the Dirichlet estimate is not empty, at the domains that estimate binds: a bounded open convex domain whose shape datum is a concentric ball sandwich.