High-contrast homogenization: Provider.Regularity.FiniteAffineBestFitInduction #
Imported from the Apache-2.0 HighContrastHomogenization development at commit
7a13dbcd8d6609264a713373f5c69ceeac870472.
Finite affine best-fit induction #
This module develops the pre-inverse best-fit error and forward-slope estimates used in the finite flatness argument.
Normalized error of the canonical best affine fit to the finite solution
posed on Q_m, measured on the inner cube Q_k.
Equations
- One or more equations did not get rendered due to their size.
Instances For
Canonical finite affine best-fit errors are nonnegative.
The canonical best-fit error is no larger than the error of any affine candidate on the same cube.
The generic centered-cube best-fit row agrees with the canonical finite
affine best fit when the cube solution carries affine boundary slope b.
The canonical finite-affine best-fit errors satisfy the fixed-step contraction supplied by the finite Lipschitz core.
Best-fit slopes on adjacent centered cubes differ by at most a dimension-only multiple of the outer best-fit error.
At the terminal scale, the best-fit slope is close to the prescribed boundary slope at response-error order.
Two-scale Caccioppoli control specialized to the canonical best affine fit of a finite affine-boundary solution.
Uniform initialization of the best-fit error and slope throughout a fixed terminal band.
A sufficiently small good-max row forces the canonical best-affine error to be proportional to the current best-fit slope at every scale.