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LeanPool.HighContrastHomogenization.Provider.Quenched.SmallContrastBootstrapIdentityGrid

High-contrast homogenization: Provider.Quenched.SmallContrastBootstrapIdentityGrid #

Imported from the Apache-2.0 HighContrastHomogenization development at commit 7a13dbcd8d6609264a713373f5c69ceeac870472.

The Euclidean grid as a rounded adapted grid #

The bootstrap of the small-contrast window compares the adapted mean on the selection grid with the annealed block on a centered cube. The comparison is read through the tilt scalarization, whose reference argument is an adapted mean on a rounded grid; so the Euclidean cube must itself be presented as an adapted cell of a rounded grid.

Rounding fixes the identity witness at every nonnegative alignment: each diagonal entry rounds the integer 3^j and each off-diagonal entry is zero. The identity-grid file records this under a coupled window; the bootstrap has no window, and the statement needs none — nonnegativity of the alignment is the whole hypothesis.

Rounding fixes the identity witness at every nonnegative alignment. This is the window-free form of the Initialization.roundedGrid_one.

The Euclidean grid is a rounded adapted grid at every admissible alignment.

The adapted mean of the Euclidean grid is the annealed block of the centered cube.