Documentation

LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Multiscale.JCarrierRescale

JCarrierRescale #

Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.

Transport of the response-J sensitivity to a translated triadic cube #

This module is the cube-carrier transport provider used toward the J-carrier rescaling of p.bfA.multiscalebound in ABK26. It proves the exact translation/dilation identity and a conditional bad-event response estimate, but it does not by itself close an unfrozen source node.

The manuscript checks the smallness hypothesis e.J.sensitivity.smallness.condition at the cube z + square_j and then writes "Applying e.J.by.means.of.bfA and then Lemma l.J.sensitivity with delta = 1 yields.". Lemma l.J.sensitivity is stated at the unit cube square_0, and the frozen Section 2.4 realization Algsuperdiff.Frozen.Section24.responseJ_sensitivity is stated at the unit-cube carrier cubeDomain (originCube d 0) as well. This module exposes that transport, as an equality — so the dimension-only constant is untouched — and reads the proved #J-smallness conclusion through it.

The transport #

LambdaCovariance.lean already supplies the transport for the multiscale lower ellipticity: unitCubeLambda s q (unitRescaledCutoffCoeff M Q n omega) = lambda_{s,q}(Q; a_n(omega)). What was missing is the same identification for the response functional itself,

J(square_0, p, q; a_n(z + 3^j .))  =  J(z + square_j, p, q; a_n) ,

which is assembled here from two CoarseGraining interfaces:

Both are exact identities: J is scale free and translation covariant, so no constant is created or lost.

Main results #

References #

Translation covariance of the coarse-grained response #

One-cube translation covariance of the Chapter 2 response for the actual coefficient cutoff: if the open realization of T is the translate by v of that of R, then the response of the cutoff at T equals the one at R for the translated sample.

Scale normalization of the coarse-grained response #

The transport #

The response-J carrier transport (the J-carrier rescaling of p.bfA.multiscalebound, ABK26). The frozen unit-cube response functional of the rescaled coefficient object is the response functional of the cutoff on the translated triadic cube Q = z + square_j itself:

J(square_0, p, q; a_n(z + 3^j .))  =  J(z + square_j, p, q; a_n) .

This is the exact analogue, for J, of the proved unitCubeLambda_unitRescaledCutoffCoeff.

The conditional response estimate at the translated triadic cube #