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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Annealed.RealStationaryTransfer

RealStationaryTransfer #

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

Real-translation stationary transfer of coarse block expectations #

CoarseGraining's stationary-expectation layer (Homogenization.Book.Ch04.Theorems.StationaryExpectations) transfers coarse block expectations from a triadic cube to the origin cube at the same scale by writing the cube as a translate of the origin cube. Its transfer step is Ch04.integral_comp_toFun_translation_transfer, which consumes RestrictionStationaryLaw = IsStationaryR: invariance under integer translations only. The translation vector Q.index * 3 ^ Q.scale is an integer vector exactly when 0 ≤ Q.scale, which is why every CoarseGraining consequence of that route carries a nonnegative-scale hypothesis.

The genuine coefficient-cutoff law is invariant under every real translation (Algsuperdiff.Section3.Cutoff.coefficientCutoffLaw_stationary_real), so the scale restriction is an artifact of the interface, not of the mathematics. This module reroutes the transfer step through real translations: the scale-free geometric identity Homogenization.cubeSet_eq_translateSet_originCube_of_triadicCube writes an arbitrary triadic cube as the triadicCubeShift translate of the origin cube at the same scale, and Homogenization.coarseBlockMatrix_translateSet_eq_translateCoeffField is already stated for a real translation vector. The resulting expectation identities hold at every integer scale, positive or negative.

Main results #

Real-translation invariance of a carrier law, the hypothesis actually available for the coefficient-cutoff law. CoarseGraining's IsStationaryR is its restriction to integer translation vectors.

Equations
Instances For

    Carrier bridge for real translation: precomposition on the carrier projects to the raw real translation (rfl). The integer-vector specialization is CoarseGraining's Ch04.translateReg_toFun.

    Real-translation carrier transfer. A real-translation-covariant raw observable composed with toFun integrates equally on real translates of a set under a real-translation-invariant carrier law. This is the exact analogue of Ch04.integral_comp_toFun_translation_transfer with the integer restriction removed.

    Scale-free stationary transfer of coarse block expectations. Under real-translation invariance, every coarse block matrix entry on an arbitrary triadic cube has the same expectation as the corresponding origin-cube entry at the same scale. CoarseGraining's integral_coarseBlockMatrix_entry_cubeSet_eq_originCube_of_stationary is the 0 ≤ R.scale case of this statement.

    Scale-free descendant transfer. Under real-translation invariance, every coarse block matrix entry on a descendant of an origin cube has the same expectation as the corresponding origin-cube entry at the descendant scale. No sign restriction on the scales is needed; CoarseGraining's integral_coarseBlockMatrix_entry_cubeSet_eq_originCube_of_mem_descendantsAtScale_originCube is the 0 ≤ n case.