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LeanPool.HighContrastHomogenization.Support.Book.Ch05.Theorems.Section56.SmallContrastAssembly.MatrixAverageEstimate

Coarse-graining support: #

Support.Book.Ch05.Theorems.Section56.SmallContrastAssembly.MatrixAverageEstimate

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

Linear functional evaluating a full block matrix at a fixed quadratic probe vector.

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    Rosenthal root bound for averaged centered normalized quadratic probes, using the second moment at the child scale and the descendant count.

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      Matrix average budget assembled from squared root bounds for coordinate, sum, and difference probes.

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