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]).