CubeRatio #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
The conditional per-cube estimate at a mesoscopic cube #
Source: ABK26. Once the smallness condition has been verified at a mesoscopic
triadic cube R, the conditional sensitivity machinery applies there and
yields
lambda_{t,q}^{-1}(R; a + h) <= 2 lambda_{t,q}^{-1}(R; a) .
This module proves the one-cube specialization of that statement, namely the
factor-two ratio for the pure-flux response and hence for |sigma_*^{-1}(R)|.
- the ratio engine at
R(CubeGauge.cubeGauge_ratio_engine) together with the crude bound (CubeGauge.cubeGauge_le_crude) feeds the gauge-free self-referential bootstrapProvider.Lambda.Bootstrap, whose smallness gate4 K Psi(0) <= 1/2is exactly the mesoscopic smallness condition; - the bootstrap's closed form gives the ratio
1 + 4 K Psi(0) <= 2for the pure-flux response atR; Provider.Lambda.DescendantBridgeconverts the all-loadings response ratio into the|sigma_*^{-1}(R)|ratio consumed by the mesoscale assembly.
The smallness condition is a hypothesis of both statements below; it is
discharged, unconditionally, in LambdaUnconditional.Closure.
Every declaration in this module is an internal helper for the Section 2.4 sensitivity providers.
The perturbation path starts at the base coefficient, at any domain.
The per-cube conditional estimate at a mesoscopic cube. Under the mesoscopic smallness condition, the pure-flux response of the perturbed field is at most twice the pure-flux response of the base field, at every loading.
hsmall is the mesoscopic smallness condition; it is discharged
unconditionally at the mesoscopic depth in LambdaUnconditional.Closure.
The per-cube sigma_*^{-1} ratio at a mesoscopic cube. This is the
form consumed by the mesoscale assembly
Provider.Mesoscale.LambdaAssembly.unitCubeLambda_inv_le_of_mesoscale_descendant_ratio.