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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Homogenization.CombineFiniteQuantitative

CombineFiniteQuantitative #

Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.

Relative descendant fluctuation decomposition #

This module decomposes a relative-normalized descendant probe into its centered random part and its deterministic annealed-scale defect. It also transfers annealed block monotonicity across every integer relative scale.

theorem Algsuperdiff.Section3.Provider.Homogenization.relativeStarredDescendantProbe_sq_integrable_and_le {d : ℕ} [NeZero d] (M : ABKModel d) (L n : ℤ) (hLn : L ≤ n) {s A D : ℝ} (hs : 0 < s) (hLower : Probability.IsTwoTermBigOWith (↑(Cutoff.cutoffSampleLaw M)) (HCPolySupport.IndependentSums.gammaSigma 2) (HCPolySupport.IndependentSums.gammaSigma (1 / 2)) (Observable.cutoffHomogenizationError M L ⟨s, hs⟩) A D) (q : HCPolySupport.FullBlockVec d) :
have c := ↑(Cutoff.cutoffRelativeNormalizationShift d); have P := Cutoff.relativeNormalizedCutoffLaw M L; have hP := ⋯; have hStruct := ⋯; have center := n - L - c; have Q := HCPolySupport.originCube d center; have j := (n - L).toNat; have sigma := Annealed.sigmaBar M L; have a0 := Observable.isotropicComparatorMatrix sigma; have B := HCPolySupport.Book.Ch02.constantFullBlockMatrix a0; have Cn := HCPolySupport.Book.Ch04.scalarAnnealedBlockMatrixAtScale hP hStruct center; have Y := fun (a : HCPolySupport.RegCoeffField d) => HCPolySupport.Book.Ch05.Section54.VarianceBoundGoodScale.fullBlockQuadratic (starredDescendantsAverageFluctuationMatrix B Cn Q j a) q; have N := ↑(HCPolySupport.descendantsAtScale Q (-c)).card; have budget := 2 * ((HCPolySupport.IndependentSums.gammaMomentConst 2 * 2 ^ 2⁻¹ * A) ^ 2 + (HCPolySupport.IndependentSums.gammaMomentConst (1 / 2) * 2 ^ (1 / 2)⁻¹ * D) ^ 2) + 8 * ((HCPolySupport.IndependentSums.gammaMomentConst 2 * 4 ^ 2⁻¹ * A) ^ 4 + (HCPolySupport.IndependentSums.gammaMomentConst (1 / 2) * 4 ^ (1 / 2)⁻¹ * D) ^ 4); have probeBudget := 6 * (q ⬝ᵥ q) ^ 2 * budget; have secondBudget := 2 * ((HCPolySupport.IndependentSums.gammaMomentConst 2 * 2 ^ 2⁻¹ * A) ^ 2 + (HCPolySupport.IndependentSums.gammaMomentConst (1 / 2) * 2 ^ (1 / 2)⁻¹ * D) ^ 2); have meanBudget := 4 * (q ⬝ᵥ q) ^ 2 * secondBudget ^ 2; have K := √probeBudget; have rootBound := N⁻¹ * (HCPolySupport.Book.Ch04.rosenthalDescendantsAtScaleLpConst d (-c) 2 * N ^ (1 / 2) * K + HCPolySupport.Book.Ch04.rosenthalDescendantsAtScaleSqrtConst d (-c) 2 * √N * K); MeasureTheory.Integrable (fun (a : HCPolySupport.RegCoeffField d) => Y a ^ 2) P ∧ ∫ (a : HCPolySupport.RegCoeffField d), Y a ^ 2 ∂P ≤ 2 * rootBound ^ 2 + 2 * meanBudget

Second-moment control of an arbitrary quadratic probe of the actual relative descendant-average fluctuation matrix.