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LeanPool.HighContrastHomogenization.Support.Book.Ch05.Theorems.Section53.JUpperBoundCoarseFluctuations.WeakNormSquareIntegrability

Coarse-graining support: #

Support.Book.Ch05.Theorems.Section53.JUpperBoundCoarseFluctuations.WeakNormSquareIntegrability

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

Special-vector weak-norm square integrability #

This proof-internal file discharges the finite-RHS side conditions inherited from the first Section 5.3 lemma, in the special-vector regime used by the coarse-fluctuation lemma.

@[irreducible]

The squared gradient weak norm for the special response vectors on the scale-m origin cube, with exponent sLower + 2 * β and centered slope p0_e.

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    @[irreducible]

    The squared flux weak norm for the special response vectors on the scale-m origin cube, with exponent sUpper + 2 * β and centered flux q0_e.

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      @[irreducible]

      The special-vector paired weak-norm square: the gradient square weighted by sigmaHatAtScale plus the flux square weighted by its inverse.

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        @[irreducible]

        The special-vector weak-norm square budget combining average, mismatch, low-scale, and constant-tail squares, with maximizer weights and an overall factor 16.

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          The paired special-vector weak-norm square is integrable. This is the non-circular version: the left side is integrated by domination from the second Section 5.3 weak-norm maximizer estimate and the already proved component-square integrability facts.

          Special-vector gradient weak-norm square integrability from the second Section 5.3 weak-norm maximizer lemma.

          Special-vector flux weak-norm square integrability from the second Section 5.3 weak-norm maximizer lemma.