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LeanPool.HighContrastHomogenization.Support.Book.Ch05.Theorems.Section54.VarianceBoundGoodScale.RefinedProbeMoments

Coarse-graining support: #

Support.Book.Ch05.Theorems.Section54.VarianceBoundGoodScale.RefinedProbeMoments

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

Refined probe moments at a good scale #

The coarse probe moment bounds in QuadraticProbeBounds dominate every probe by one scalar times Λ + λ⁻¹. For the final good-scale variance estimate we need the matched form: upper coordinates cost only the upper unit-scale factor and lower coordinates cost only the lower inverse factor. This file supplies that local refinement and compresses it to \widetilde\Theta_0 using the two good-scale scalar hypotheses.

Upper unit-scale coefficient carried by a coordinate probe after normalization at scale m. It is nonzero only on the upper block.

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    Lower unit-scale coefficient carried by a coordinate probe after normalization at scale m. It is nonzero only on the lower block.

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      Matched pointwise domination for coordinate probes: upper coordinates see only the upper unit-scale factor, lower coordinates only the lower inverse factor.

      Centered origin moment for coordinate probes, compressed to \widetilde\Theta_0 by the good-scale hypotheses.

      Centered origin moment for plus probes, compressed to \widetilde\Theta_0 by the good-scale hypotheses.

      Centered origin moment for minus probes, compressed to \widetilde\Theta_0 by the good-scale hypotheses.