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LeanPool.HighContrastHomogenization.Support.Book.Ch04.Theorems.PartitionAverageFluctuations

Coarse-graining support: Support.Book.Ch04.Theorems.PartitionAverageFluctuations #

Imported from the Apache-2.0 CoarseGraining development at commit c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.

Restriction-local partition-average fluctuation theorems #

This file connects the restriction-local descendant-average concentration estimates to the centered origin-cube formulation used in the notes. The proof uses the existing stationarity lemmas internally, but the theorem statements are phrased only in terms of the explicit restriction law and restriction-local-random-variable notions.

Stationarity identifies the expectation of the uncentered descendant partition average with the expectation on the origin cube at the descendant scale.

The centered descendant partition average has mean zero under stationarity.

Centered Gamma_sigma fluctuation bound for restriction-centered descendant averages of a translation-covariant cube observable.

Centered Psi_sigma fluctuation bound for restriction-centered descendant averages of a translation-covariant cube observable.