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LeanPool.Superdiffusion.Algsuperdiff.Section24.Sensitivity.Provider.LambdaUnconditional.CubeScaling

CubeScaling #

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

General-cube scaling of the coarse gauge #

Source: ABK26, the deep-cube verification step of l.J.sensitivity.no.conditions. The unconditional sensitivity estimate applies the conditional per-cube machinery at a mesoscopic triadic cube R rather than at the unit cube. Two purely structural facts about a general triadic cube are needed for that.

Every declaration in this module is an internal helper for the Section 2.4 sensitivity providers.

Elementary facts about triadic cubes #

A member of a finite family is bounded by its real supremum.

Descendant scaling of the coarse gauge #

The scale-weight bookkeeping of the descendant gauge scaling: 3^{l} 3^{2 s (Q.scale - l)} <= 3^{Q.scale} when 2 s <= 1 and l <= Q.scale.

Descendant scaling of the coarse gauge at a general cube. For every exponent pair with 2 s <= 1, the scale-normalized coarse gauge of a triadic descendant is bounded by that of its ancestor.

Well-definedness of the cube gauge #

Well-definedness of the cube gauge. If two CoarseGraining triadic families have a.e. equal representatives on a cube Q, then they give the same coarse gauge at every triadic cube contained in Q.