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LeanPool.HighContrastHomogenization.Provider.Quenched.SmallContrastMeanDropCarrier

High-contrast homogenization: Provider.Quenched.SmallContrastMeanDropCarrier #

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

The mean-drop carrier #

The reference-normalized mean drop between two scales of one grid is first-order in the hatted contrast drop: the mean dilation bounds the difference by 4d·(hat_j − hat_p) times the later mean, the terminal envelope converts the later mean into the scaled reference, and the sandwich bound converts the Loewner estimate into the scalar size.

theorem HCPolySupport.HighContrast.Quenched.blockSize_meanDrop_le {d : ℕ} [NeZero d] {P : MeasureTheory.Measure (CoeffSpace d)} [MeasureTheory.IsProbabilityMeasure P] (hstat : IsStationaryLaw P) {l : ℤ} {q : Mat d} (hgrid : IsRoundedGrid l q) {j p : ℤ} (hlj : l ≤ j) (hjp : j ≤ p) (hfinj : HasFiniteAdaptedMean P q j) (hfinp : HasFiniteAdaptedMean P q p) (hsmall : ↑d * (adaptedHattedContrast P q j - adaptedHattedContrast P q p) ≤ 1) {E : BlockMat d} (hEsym : IsSymmetricBlockMat E) {cT : ℝ} (hcT : 0 ≤ cT) (henvT : BlockMatLoewnerLE (adaptedMean P q p) (blockScale cT E)) {F : BlockMat d} (hFsym : IsSymmetricBlockMat F) (hFpd : Book.Ch02.BlockPosDef F) :

The mean-drop carrier bound.