Coarse-graining support: Support.Book.Ch05.Theorems.Section57.HomogenizationErrorFiniteQ #
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
Finite-q homogenization-error control #
This file continues the Section 5.7 conversion from the localized quenched
J estimate to finite-q homogenization-error bounds. The lemmas below are
the deterministic square-root step: a weighted J estimate at one scale gives
the corresponding p = infinity scale-response estimate with half the
discount exponent.
One-scale response control from the localized finite-probe maximum, after using the weighted Section 5.7 estimate.
The same one-scale response control, using the unit-vector form supplied by the minimal-scale theorem.
Natural lower-scale version of
scaleResponseAtScale_originCube_nat_le_rpow_of_weighted_localizedUnitJMax.
This is the form used in the finite-q row summation: the l-th term in
\mathcal E(Q,n) samples the scale n-l.
One natural lower-scale response estimate obtained by inserting the minimal-scale envelope and taking a square root.
Natural-scale finite-row summation from the minimal-scale J estimate.
This controls the part of the finite-q homogenization-error series with
l ≤ n, i.e. the scales which are still nonnegative. The closed
\mathcal E corollary absorbs the lower scales into the same minimal-scale
envelope before exposing a theorem statement.