Spine #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
The conditional lambda_{s,q} sensitivity spine #
Source: ABK26 (l.lambda.sensitivity).
This module assembles the ratio engine of Provider.Lambda.Engine with the
self-referential bootstrap of Provider.Lambda.Bootstrap into the exact shape
of the frozen conclusion
lambda_{s,q}^{-1}(a + h) ≤ (1 + C ‖∇h‖ lambda_{3/8,2}^{-1}(a)) lambda_{s,q}^{-1}(a)
for every s > 0 and every admissible q, from two inputs:
hcube— the per-cubeD_hbound atp = 0on every triadic descendant of the unit cube, with the root gauge as coefficient;hcrude— any finite bound for the root gauge along the segment. The bootstrap uses it only to choose the mesh of the compounding grid; it does not enter the conclusion.
Both are premises of the internal helper below and must be discharged at every use. In particular the public provider result will carry neither.
Every declaration is an internal helper for the Section 2.4 sensitivity providers.
The frozen gauge is an a.e. invariant #
The frozen scalar unitCubeLambda is positive at every admissible
exponent pair.
The frozen scalar unitCubeLambda only depends on the coefficient field up
to a.e. equality.
The perturbation path starts at the base coefficient.
The spine #
The conditional lambda_{s,q} sensitivity, given the per-cube D_h
bound.
hcube is the p = 0 specialization of the D_h bound applied on every
triadic descendant of the unit cube and at every point of the segment, with the
root coarse gauge as its coefficient. hcrude is any finite bound for the root
gauge along the segment. Both are consumption points; neither appears in the
final provider statement.