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

Coarse-graining support: #

Support.Book.Ch05.Theorems.Section56.SmallContrastAssembly.MatrixAverageGeometric

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

Parameter-only version of the small-contrast basic refined variance budget.

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    Parameter-only version of the uniform one-probe root-square constant.

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      Parameter-only constant for the compressed matrix-average geometric estimate.

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        theorem HCPolySupport.Book.Ch05.Section56.SmallContrastAssembly.descendantsAtScale_originCube_nat_card_inv_eq_rpow (d child parent : ℕ) (hchild_parent : child ≤ parent) :
        (↑(descendantsAtScale (originCube d ↑parent) ↑child).card)⁻¹ = Real.rpow 3 (-↑d * ↑(parent - child))

        Manuscript-style small-contrast matrix-average estimate.

        The constant is chosen before the law P; it depends only on the quantitative ellipticity parameters and the dimension.