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LeanPool.HighContrastHomogenization.Support.Book.Ch05.Theorems.Section54.VarianceBoundGoodScale.PartitionAverage

Coarse-graining support: #

Support.Book.Ch05.Theorems.Section54.VarianceBoundGoodScale.PartitionAverage

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

Local-representative bridge for partition averages #

This file builds the Section 5.4-local bridge needed to feed the normalized full-block fluctuation observable into the Chapter 4 partition-average theorems. The bridge is internal to the variance-bound slice: it proves the locality/measurability facts from existing Ch4 entrywise local representatives, without adding proof objects to the public Section 5.4 theorem.

The linear map sending a full-block matrix M to the Euclidean operator of D * M * D.

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Instances For
    theorem HCPolySupport.Book.Ch05.Section54.VarianceBoundGoodScale.section54_annealedMomentRoot_abs_le_of_ae_abs_le_nonneg {d : ℕ} {P : Ch04.RestrictionCoeffLaw d} {ξ : ℕ} {X Y : RegCoeffField d → ℝ} (hξ : 1 ≤ ξ) (_hY_nonneg : ∀ (a : RegCoeffField d), 0 ≤ Y a) (hXY : (fun (a : RegCoeffField d) => |X a|) ≤ᵐ[P] Y) (hX_abs_pow_int : MeasureTheory.Integrable (fun (a : RegCoeffField d) => |X a| ^ ξ) P) (hY_pow_int : MeasureTheory.Integrable (fun (a : RegCoeffField d) => Y a ^ ξ) P) :
    theorem HCPolySupport.Book.Ch05.Section54.VarianceBoundGoodScale.section54_integrable_abs_pow_of_ae_abs_le_nonneg {d : ℕ} {P : Ch04.RestrictionCoeffLaw d} {ξ : ℕ} {X Y : RegCoeffField d → ℝ} (hX_meas : AEMeasurable X P) (hY_nonneg : ∀ᵐ (a : RegCoeffField d) ∂P, 0 ≤ Y a) (hXY : (fun (a : RegCoeffField d) => |X a|) ≤ᵐ[P] Y) (hY_pow_int : MeasureTheory.Integrable (fun (a : RegCoeffField d) => Y a ^ ξ) P) :
    MeasureTheory.Integrable (fun (a : RegCoeffField d) => |X a| ^ ξ) P
    theorem HCPolySupport.Book.Ch05.Section54.VarianceBoundGoodScale.section54_annealedMomentRoot_add_le {d : ℕ} {P : Ch04.RestrictionCoeffLaw d} {ξ : ℕ} {X Y : RegCoeffField d → ℝ} (hξ : 1 ≤ ξ) (hX_nonneg : ∀ (a : RegCoeffField d), 0 ≤ X a) (hY_nonneg : ∀ (a : RegCoeffField d), 0 ≤ Y a) (hX_meas : AEMeasurable X P) (hY_meas : AEMeasurable Y P) (hX_int : MeasureTheory.Integrable (fun (a : RegCoeffField d) => X a ^ ξ) P) (hY_int : MeasureTheory.Integrable (fun (a : RegCoeffField d) => Y a ^ ξ) P) :

    Descendant-family local representatives for the normalized full-block fluctuation observable. This is the local-representative hypothesis needed by the a.e.-local Ch4 partition-average theorem.

    Descendant-family local representatives for normalized quadratic probes.

    theorem HCPolySupport.Book.Ch05.Section54.VarianceBoundGoodScale.centeredDescendantAverageMomentRoot_le_of_unitRangeLaw_of_localRepresentatives {d : ℕ} {n m : ℤ} {P : Ch04.RestrictionCoeffLaw d} [MeasureTheory.IsProbabilityMeasure P] {p : ℕ} {K : ℝ} (hP : Ch04.RestrictionLawCarrier P) (hn : 0 ≤ n) (hnm : n ≤ m) (hPstat : Ch04.RestrictionStationaryLaw P) (hPdep : Ch04.RestrictionUnitRangeDependentLaw P) (X : Set (Vec d) → RegCoeffField d → ℝ) (hX_localRep : ∀ R ∈ descendantsAtScale (originCube d m) n, ∃ (Y : RegCoeffField d → ℝ), Ch04.IsRestrictionLocalRandomVariable (cubeSet R) ⋯ Y ∧ X (cubeSet R) =ᵐ[P] Y) (hX_cov : Ch04.IsRestrictionTranslationCovariant X) (hX0_aemeas : AEMeasurable (X (cubeSet (originCube d n))) P) (hX_desc_aemeas : ∀ R ∈ descendantsAtScale (originCube d m) n, AEMeasurable (X (cubeSet R)) P) (hp : 2 ≤ p) (hK_nonneg : 0 ≤ K) (hX0Lp_int : MeasureTheory.Integrable (fun (a : RegCoeffField d) => |Ch04.restrictionCenteredOriginObservable P n X a| ^ p) P) (hX0Lp : (∫ (a : RegCoeffField d), |Ch04.restrictionCenteredOriginObservable P n X a| ^ p ∂P) ^ (1 / ↑p) ≤ K) :

    Origin-cube partition-average moment estimate with a.e.-local descendant representatives. This is the Section 5.4-local bridge from the exact-local Ch4 Rosenthal theorem to the totalized coarse-block observables used in Ch5.

    Rosenthal/partition-average estimate for the normalized full-block fluctuation observable, assuming only the origin-scale moment root that the good-scale scalar estimates will provide.

    Rosenthal/partition-average estimate for a normalized quadratic probe, assuming the origin-scale moment root supplied by the good-scale scalar estimate.