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LeanPool.HighContrastHomogenization.Support.Book.Ch05.Theorems.Section53.JUpperBoundWeakNorms

Coarse-graining support: Support.Book.Ch05.Theorems.Section53.JUpperBoundWeakNorms #

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

Upper bound for J by weak norms #

Top-level module for the first manuscript lemma in Section 5.3. The proof is split under Section53/JUpperBoundWeakNorms/; this file is the stable import surface for the lemma.

First manuscript lemma of Section 5.3, in its note-facing form up to the finite-RHS inputs supplied by the scalar maximizer weak-norm lemma. The two integrability hypotheses say exactly that the scaled gradient and flux weak-norm square expectations appearing on the right-hand side are finite.

First Section 5.3 lemma with the additivity term treated by Young rather than by Cauchy in probability. This is the surface used by the flatness-rules route: the RHS contains eta * E[J_k] + eta^{-1} * tau_{m,k} instead of sqrt(tau_{m,k}) * sqrt(E[J_k]).