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LeanPool.HighContrastHomogenization.Provider.Quenched.SmallContrastSingleCellVarianceAbstract

High-contrast homogenization: Provider.Quenched.SmallContrastSingleCellVarianceAbstract #

Imported from the Apache-2.0 HighContrastHomogenization development at commit 7a13dbcd8d6609264a713373f5c69ceeac870472.

The single-cell variance at abstract envelopes #

The single-cell reference variance with both envelope inputs abstract: the pathwise coarse-block envelope cPt·NSS^g·E and the mean envelope c1·E, at an arbitrary normalized source variable and scale. The burn-split (dimensional) constants instantiate directly: no boundary constant, no grid-norm exponent in the statement.

theorem HCPolySupport.HighContrast.Quenched.scaleVariance_le_of_envelopes {d : ℕ} {g : ℝ} (hg : g ∈ Set.Ico 0 1) {P : MeasureTheory.Measure (CoeffSpace d)} [MeasureTheory.IsProbabilityMeasure P] {E : BlockMat d} {Ψ : ℝ → ℝ} {K : ℝ} {S : CoeffSpace d → ℝ} (hdag : CoarseEllipticityDagger P g E Ψ K S) {l : ℤ} (hl : ↑(kZero d) ≤ l) {n : Mat d} (hn : Matrix.PosDef n) (k : ℤ) (hintk : HasFiniteAdaptedMean P (roundedGrid l n) k) (F : BlockMat d) (hFsym : IsSymmetricBlockMat F) (hFpd : Book.Ch02.BlockPosDef F) {S' : CoeffSpace d → ℝ} (w : ℤ) {cPt : ℝ} (hcPt0 : 0 ≤ cPt) (hpt' : ∀ᵐ (a : CoeffSpace d) ∂P, BlockMatLoewnerLE (coarseBlock (adaptedCell (roundedGrid l n) k) a) (blockScale (cPt * normalizedSourceScale S' w a ^ g) E)) {c1 mu2 : ℝ} (hc1Pt : cPt ≤ c1) (hmu20 : 0 ≤ mu2) (hmean : BlockMatLoewnerLE (adaptedMean P (roundedGrid l n) k) (blockScale c1 E)) (hmom : ∫⁻ (a : CoeffSpace d), ENNReal.ofReal (normalizedSourceScale S' w a ^ ↑2) ∂P ≤ ENNReal.ofReal mu2) :
scaleVariance P (roundedGrid l n) F k ≤ ENNReal.ofReal ((2 * ↑d) ^ 2⁻¹ * blockSize E F * (2 * c1) * √mu2)

The single-cell variance at abstract envelopes.