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LeanPool.HighContrastHomogenization.Support.Deterministic.CoarseCaccioppoli.SingleCubeToRaw.HarmonicFinal.ExactSmallCube.CenteredFactors.BufferedAlpha

Coarse-graining support: #

Support.Deterministic.CoarseCaccioppoli.SingleCubeToRaw.HarmonicFinal.ExactSmallCube .CenteredFactors.BufferedAlpha

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

Exact small-cube centered factors: buffered alpha comparison #

theorem HCPolySupport.coarseCaccioppoliFluxEnergyExactCenteredFactorBounds_buffered_localAcirc_le_alpha_of_scale {d : ℕ} [NeZero d] {Q R : TriadicCube d} (a : CoeffField d) {s t CeffLocal CeffWork : ℝ} {k j : ℕ} {ρ₁ ρ₂ lam Lam : ℝ} {hheight : ℝ → ℝ → ℝ} (hCeffLocal : 0 ≤ CeffLocal) (hCeffWork : 0 ≤ CeffWork) (hs : 0 < s) (ht : 0 < t) (hst : s + t < 1) (hEllCube : IsEllipticFieldOn lam Lam (cubeSet Q) a) (hR : R ∈ descendantsAtDepth Q j) (hBsum_s : Summable fun (n : ℕ) => geometricWeight s 1 n * (maxDescendantBBlockNormAtScale Q (Q.scale - ↑n) a).rpow (1 / 2)) (hSigmaSum_t : Summable fun (n : ℕ) => geometricWeight t 1 n * (maxDescendantSigmaStarInvNormAtScale Q (Q.scale - ↑n) a).rpow (1 / 2)) (hchoice : CoarseCaccioppoliTriadicGapScaleChoice k ρ₁ ρ₂) (hlt : ρ₁ < ρ₂) (hjk : k ≤ j) (hscale : (2 * coarseCaccioppoliCenteredAverageFront d s CeffLocal + 4 * coarseCaccioppoliCenteredBesovHessianFront d s CeffLocal + 2 * coarseCaccioppoliCenteredBesovGradientFront d s CeffLocal) * Real.rpow 3 ↑k ≤ CeffWork / (s * (1 - s)) * coarseCaccioppoliGapInv ρ₁ ρ₂) (hheight_le_j : hheight ρ₁ ρ₂ ≤ ↑j) :

Buffered average-plus-Besov factor-bound comparison for the centered exact coefficient. The cutoff is taken at the midpoint radius, while the scale choice, height, and parent Alpha coefficient are still indexed by the full outer pair (ρ₁, ρ₂).