High-contrast homogenization: Provider.Quenched.SmallContrastCadenceProfile #
Imported from the Apache-2.0 HighContrastHomogenization development at commit
7a13dbcd8d6609264a713373f5c69ceeac870472.
The cadence profile descent: the scalar family iteration #
The profile-head lemma simplifies further: the drop history's head at an anchor is EXACTLY
ra^(n−m) · iterationDropSum ra F m (iterationDropSum_split, the
semigroup property of the weighted history), so the induction carries the
anchors' drop sums as a second inductive component and the profile
convergence is one recurrence — no block decomposition.
The margin re-prices from 6A to 24A, with the shares exact:
A·ra^(c_A+1) ≤ 1/24 makes the head's collapse share (1/3)·D·θ^i ≤ (1/2)·D·θ^(i+1) at θ = 2A/(2A+1) ≥ 2/3 (equality of the share bound at
A = 1), and the error share closes from ra^(c_A+1) ≤ θ/(16A) (again
exact at the constants). The result:
F n ≤ (delta + deltaRec) · θ^i for every n ≥ ns + i·(c_A+1),
— per-stage factor θ = 2A/(2A+1), law-free; stage length c_A + 1,
law-free; coefficient delta + deltaRec, Π-polynomial through the
trade only; availability ns, linear. This is's linear-threshold
preview, delivered by proof, through the profile split, consuming
only the family shape and the row-349 dichotomy — no delayed form.
The split identity: the weighted drop history factors exactly at any anchor.