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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Homogenization.ObservationScaleFiniteCover

ObservationScaleFiniteCover #

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

Observation-scale finite-cover transport #

This module transports the lower-clause two-term homogenization-error bound from the cutoff cube to a larger observation cube. The transport is carried out on the genuine measurable representative. Translation covariance is used only through the cutoff-sample action, and the spatial enlargement is paid for by descendant averages, finite maxima, and the geometric depth weights already present in the q = 2 error.

The declarations here are internal Provider estimates.

The common constant for squaring the two-term observation-scale tail estimate.

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    The measurable square of the cutoff-scale error at a translated scale-L cell. The coefficient and normalizer stay frozen at L.

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      Raw/representative finite cover #

      The squared homogenization error for one cutoff cell against the isotropic comparator.

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        The geometrically weighted block-response error at one observation depth.

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          The infinite error tail below the cutoff scale.

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            The largest parent-cube average of normalized cutoff-cell errors at one depth.

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              The finite weighted envelope of coarse parent-cube error averages.

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                The maximum normalized cutoff-cell error at the cutoff scale.

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                  Probabilistic aggregation over the finite cover #

                  The dimension- and depth-dependent stochastic scale for the observation error.

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                    The geometric depth factor bounding the fine part of the observation error.

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                      The common constant for the observation-scale finite-cover estimate.

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                        Dimension-only finite-cover transport of the lower homogenization-error clause from the cutoff cube at 1/16 to the observation cube at 1/8.

                        The legal-window premise only specializes the displayed lower clause; the constant is chosen before the model, induction scale, and amplitude parameter. This is a Provider endpoint and carries no source-node status by itself.