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LeanPool.HighContrastHomogenization.Support.Sobolev.Foundations.CubeCalderonZygmund.OneBallTailAlgebra

Coarse-graining support: Support.Sobolev.Foundations.CubeCalderonZygmund.OneBallTailAlgebra #

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

One-ball good-lambda algebra #

These are the purely extended-real algebraic steps in the one-stopping-ball comparison. They contain no PDE, stopping, or comparison hypotheses: the analytic proof supplies the two local L² bounds, and this file records the constant bookkeeping that turns their sum into the conventional factor two.

If the correction energy is at most e times the original local energy and e ≤ 1, then the harmonic-remainder energy costs at most a factor two. The statement is deliberately pure ENNReal algebra, so it can be used after the local normalized-energy and Minkowski estimates without importing any comparison conclusion.

theorem HCPolySupport.CubeCalderonZygmund.oneBall_tail_coefficient_factor (K K' m e Tf Tg : ENNReal) :
(K * m + K' * e) * (2 * Tf + 2 * Tg) ≤ (2 * K + 2 * K') * (m + e) * (Tf + Tg)

Factor the two local weighted-tail contributions through a single uniform coefficient. This is the exact overestimate used by the one-ball tail assembly: K * m + K' * e is bounded by (K + K') * (m + e), and the two tail masses are then factored together.

The powered normalized L^p bound on a positive axis cube yields the raw local integral bound on that open cube. The factor is exactly L^d, obtained by cancelling the positive normalized-volume density. This is the open-cube form used when the final comparison tail is restricted to the triadic child.

The powered normalized L^p bound on a positive axis cube yields the raw local integral bound over its a.e.-equal closed ball. The factor is exactly the cube volume L^d: it is obtained by cancelling the positive normalized-volume density, not by a comparison estimate.