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LeanPool.HighContrastHomogenization.Support.Sobolev.Foundations.CubeBesovPoincare.W12Aggregation

Coarse-graining support: Support.Sobolev.Foundations.CubeBesovPoincare.W12Aggregation #

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

Finite positive Besov aggregation #

This is the scale-cancellation step from a local cube Poincare estimate to a finite B¹_{2,∞} seminorm bound. It contains no analytic input beyond the explicit local oscillation and normalized descendant-energy hypotheses.

theorem HCPolySupport.cubeBesovPartialSeminormTop_one_two_le_of_localOscillation {d : ℕ} (Q : TriadicCube d) (N : ℕ) (f : Vec d → ℝ) (K G : ℝ) (E : TriadicCube d → ℝ) (hK : 0 ≤ K) (hG : 0 ≤ G) (hE : ∀ j ∈ Finset.range (N + 1), ∀ R ∈ descendantsAtDepth Q j, 0 ≤ E R) (hosc : ∀ j ∈ Finset.range (N + 1), ∀ R ∈ descendantsAtDepth Q j, cubeBesovOscillation R 2 f ≤ K * cubeScaleFactor R * E R) (havg : ∀ j ∈ Finset.range (N + 1), (descendantsAverage Q j fun (R : TriadicCube d) => E R ^ 2) ≤ G ^ 2) :

A scale-sharp local oscillation bound and uniform normalized descendant energy control imply the finite triadic-cube B¹_{2,∞} bound.