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LeanPool.HighContrastHomogenization.Support.Book.Ch05.Theorems.Section57.LocalizedMax

Coarse-graining support: Support.Book.Ch05.Theorems.Section57.LocalizedMax #

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

Localized block-response maxima #

This file packages the finite maximum over subcubes appearing in Theorem t.homogenization.quenched. The maximum is first defined for a fixed full-block vector e; the finite-basis reduction for the maximum over unit vectors is kept as a later deterministic step.

The finite maximum of the limiting-normalized block response over all scale-n descendants of the scale-m origin cube.

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    Discounted localized response, the left side of the bad-event predicate.

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      theorem HCPolySupport.Book.Ch05.Section57.isBigO_limitNormalizedBlockJObservable_originCube_of_scaleZero {d : ℕ} [NeZero d] {σ : ℝ} (_hσ_pos : 0 < σ) (params : QuantitativeCoarseGrainedEllipticityParams d) :
      ∃ (C : ℝ), 0 < C ∧ ∀ {Pμ : Ch04.RestrictionCoeffLaw d} (hPμ : Ch04.RestrictionLawCarrier Pμ) (hStruct : Ch04.RestrictionStructuralLaw Pμ) (hΓ : GammaSigmaCoarseGrainedEllipticity Pμ hPμ hStruct), hΓ.sigma = σ → hΓ.params = params → ∀ (e : FullBlockVec d), (∀ (α : BlockCoord d), |e α| ≤ 1) → ∀ {n : ℕ}, IndependentSums.IsBigO Pμ (IndependentSums.gammaSigma σ) (limitNormalizedBlockJObservable hPμ hStruct (originCube d ↑n) e) (C * hΓ.thetaHat ^ 2)
      theorem HCPolySupport.Book.Ch05.Section57.isBigO_localizedLimitNormalizedJMax {d : ℕ} [NeZero d] {σ : ℝ} (hσ_pos : 0 < σ) (params : QuantitativeCoarseGrainedEllipticityParams d) :
      ∃ (C : ℝ), 0 < C ∧ ∀ {Pμ : Ch04.RestrictionCoeffLaw d} (hPμ : Ch04.RestrictionLawCarrier Pμ) (hStruct : Ch04.RestrictionStructuralLaw Pμ) (hΓ : GammaSigmaCoarseGrainedEllipticity Pμ hPμ hStruct), hΓ.sigma = σ → hΓ.params = params → ∀ (e : FullBlockVec d), e ⬝ᵥ e ≤ 1 → ∀ {m n : ℕ}, n < m → have D := descendantsAtScale (originCube d ↑m) ↑n; IndependentSums.IsBigO Pμ (IndependentSums.gammaSigma σ) (localizedLimitNormalizedJMax hPμ hStruct m n e) ((3 * Real.log ↑D.card) ^ σ⁻¹ * (C * hΓ.thetaHat ^ 2))
      theorem HCPolySupport.Book.Ch05.Section57.localizedFirstQuenchedEstimate_limitNormalized {d : ℕ} [NeZero d] {σ : ℝ} (hσ_pos : 0 < σ) (params : QuantitativeCoarseGrainedEllipticityParams d) :
      ∃ (Cfluct : ℝ) (Centry : ℝ) (α : ℝ), 0 < Cfluct ∧ 0 < Centry ∧ 0 < α ∧ ∀ {Pμ : Ch04.RestrictionCoeffLaw d} (hPμ : Ch04.RestrictionLawCarrier Pμ) (hStruct : Ch04.RestrictionStructuralLaw Pμ) (hΓ : GammaSigmaCoarseGrainedEllipticity Pμ hPμ hStruct), hΓ.sigma = σ → hΓ.params = params → ∀ (e : FullBlockVec d), e ⬝ᵥ e ≤ 1 → ∀ {ℓ n m : ℕ}, ℓ < n → n < m → have N0 := annealedAlgebraicEntryScale Pμ hΓ.toQuantitativeCoarseGrainedEllipticity Centry; have D := descendantsAtScale (originCube d ↑(N0 + m)) ↑(N0 + n); IndependentSums.IsBigOWith Pμ (IndependentSums.gammaSigma (min σ 2)) (fun (a : RegCoeffField d) => localizedLimitNormalizedJMax hPμ hStruct (N0 + m) (N0 + n) e a - Real.rpow 3 (-α * ↑ℓ)) ((3 * Real.log ↑D.card) ^ (min σ 2)⁻¹ * (Cfluct * 3 ^ (-↑d / 2 * ↑(↑(N0 + n) - ↑(N0 + ℓ)).toNat) * hΓ.thetaHat ^ 2))

      Localized version of Corollary c.first.quenched.estimate for a fixed unit vector. The finite maximum over descendants costs only the standard (log #D)^{1/(σ∧2)} factor.

      theorem HCPolySupport.Book.Ch05.Section57.localizedFirstQuenchedEstimate_limitNormalized_uniformAnnealedExponent {d : ℕ} [NeZero d] (params : QuantitativeCoarseGrainedEllipticityParams d) :
      ∃ (Centry : ℝ) (a : ℝ), 0 < Centry ∧ 0 < a ∧ ∀ {σ : ℝ}, 0 < σ → ∃ (Cfluct : ℝ), 0 < Cfluct ∧ ∀ {Pμ : Ch04.RestrictionCoeffLaw d} (hPμ : Ch04.RestrictionLawCarrier Pμ) (hStruct : Ch04.RestrictionStructuralLaw Pμ) (hΓ : GammaSigmaCoarseGrainedEllipticity Pμ hPμ hStruct), hΓ.sigma = σ → hΓ.params = params → ∀ (e : FullBlockVec d), e ⬝ᵥ e ≤ 1 → ∀ {ℓ n m : ℕ}, ℓ < n → n < m → have N0 := annealedAlgebraicEntryScale Pμ hΓ.toQuantitativeCoarseGrainedEllipticity Centry; have D := descendantsAtScale (originCube d ↑(N0 + m)) ↑(N0 + n); IndependentSums.IsBigOWith Pμ (IndependentSums.gammaSigma (min σ 2)) (fun (aω : RegCoeffField d) => localizedLimitNormalizedJMax hPμ hStruct (N0 + m) (N0 + n) e aω - Real.rpow 3 (-a * ↑ℓ)) ((3 * Real.log ↑D.card) ^ (min σ 2)⁻¹ * (Cfluct * 3 ^ (-↑d / 2 * ↑(↑(N0 + n) - ↑(N0 + ℓ)).toNat) * hΓ.thetaHat ^ 2))

      Uniform-in-σ version of localizedFirstQuenchedEstimate_limitNormalized.

      The entry constant and annealed algebraic exponent are fixed before the finite moment exponent; the localized fluctuation constant remains allowed to depend on σ.