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.
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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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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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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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.