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LeanPool.HighContrastHomogenization.Support.Sobolev.Foundations.CubeBesovPoincare.W12NormalizedPartition

Coarse-graining support: Support.Sobolev.Foundations.CubeBesovPoincare.W12NormalizedPartition #

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

Normalized W^{1,2} data on triadic cubes #

This small bridge keeps the source-facing open-cube Sobolev carrier while identifying its normalized volume with the cube normalization used by the disjoint Besov hierarchy.

Restrict a Sobolev witness on an open triadic cube to one of its open descendants. Both its function and stored weak-gradient representatives are unchanged.

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    The normalized measure of the source-facing open cube is exactly the normalized cube measure. This is a measure equality, not a pointwise carrier identification.

    theorem HCPolySupport.descendantsAverage_cubeLpNorm_euclideanGrad_two_sq_eq {d : ℕ} (Q : TriadicCube d) (u : W1pFunction (openCubeSet Q) 2) (j : ℕ) :
    (descendantsAverage Q j fun (R : TriadicCube d) => (cubeLpNorm R 2 fun (x : Vec d) => euclideanNorm (u.grad x)) ^ 2) = (cubeLpNorm Q 2 fun (x : Vec d) => euclideanNorm (u.grad x)) ^ 2

    Normalized L² energy partitions exactly over descendants. This is the measure-theoretic ingredient needed to aggregate the restricted open-cube Sobolev seminorms.

    The source-facing normalized Sobolev seminorm of a descendant. The zero value off the finite descendant family makes this a total function of a cube, as required by descendantsAverage; it is never used on that off-family branch.

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