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LeanPool.HighContrastHomogenization.Support.Book.Ch05.Theorems.Section56.SmallContrastAssembly.FluctuationSumEstimate

Coarse-graining support: #

Support.Book.Ch05.Theorems.Section56.SmallContrastAssembly.FluctuationSumEstimate

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

The unconditional fluctuation-sum estimate for Section 5.6 #

This file proves the analytic estimate which feeds the final constant selection in FinalAssembly.lean: the m-centered full-block fluctuation sum is bounded by the bottom-scale geometric decay and the square of the small-contrast excess at scale ell.

Parameter-only version of the trace-J geometric constant.

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    The geometric coefficient in the one-scale fluctuation estimate.

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      Parameter-only version of the one-scale geometric fluctuation constant.

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        theorem HCPolySupport.Book.Ch05.Section56.SmallContrastAssembly.coarseFluctuationFullBlockSumAtScale_le_assembly_fluctuation_bound {d : ℕ} [NeZero d] (params : QuantitativeCoarseGrainedEllipticityParams d) :
        ∃ (Ktau : ℝ) (Kgeom : ℝ) (Ktheta : ℝ), ∀ {P : Ch04.RestrictionCoeffLaw d} (hP : Ch04.RestrictionLawCarrier P), Ch04.RestrictionStationaryLaw P → ∀ (hStruct : Ch04.RestrictionStructuralLaw P) (hP4 : QuantitativeCoarseGrainedEllipticity P), hP4.params = params → widetildeThetaAtScale P 0 hP4 ≤ 2 → ∀ (e : Vec d), vecNormSq e = 1 → ∀ {ell k m : ℕ}, ell < k → k < m → have p_e := specialPAtScale hP hStruct (↑m) e; have q_e := specialQAtScale hP hStruct (↑m) e; Section53.JUpperBoundCoarseFluctuations.coarseFluctuationFullBlockSumAtScale hP hStruct hP4 k m ≤ Ktau * tauAtScale P (↑m) (↑k) p_e q_e + Kgeom * Real.rpow 3 (-↑d * ↑(k - ell)) + Ktheta * (thetaAtScale hP hStruct ↑ell - 1) ^ 2

        The unconditional parameter-uniform estimate for the coarse fluctuation sum used in the Section 5.6 assembly lemma.