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

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

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

High component bad-scale bounds #

This file rebuilds the high component estimates along the no-loss route. The finite descendant multiplicity is kept as a probability-level prefactor and is absorbed by the weighted exponential kernel in the final summation.

theorem HCPolySupport.Book.Ch05.Section57.shiftedHighTopBadScaleMeasure_le_weightedKernel_of_pairBound {d : ℕ} [NeZero d] {σ Cfluct Centry a : ℝ} (hσ_pos : 0 < σ) (params : QuantitativeCoarseGrainedEllipticityParams d) (hCfluct : 0 < Cfluct) (_hCentry : 0 < Centry) (ha : 0 < a) (hpair : ∀ {t αbad : ℝ} {P : Ch04.RestrictionCoeffLaw d} (hP : Ch04.RestrictionLawCarrier P) (hStruct : Ch04.RestrictionStructuralLaw P) (hΓ : GammaSigmaCoarseGrainedEllipticity P hP hStruct), hΓ.sigma = σ → hΓ.params = params → ∀ {q m n : ℕ}, have K := quenchedProbeEnvelopeConst d; have x := αbad * ↑(m - q) - t * ↑(m - n); have ell := ⌈(a * Real.log 3)⁻¹ * (Real.log (max (2 * K) 1) + x * Real.log 3)⌉₊; have N0 := annealedAlgebraicEntryScale P hΓ.toQuantitativeCoarseGrainedEllipticity Centry; have Hshift := fun (M N : ℕ) (aω : RegCoeffField d) => quenchedProbeEnvelope hP hStruct (N0 + M) (N0 + N) aω; have D := descendantsAtScale (originCube d ↑(N0 + m)) ↑(N0 + n); have S := Finset.univ; have tau := min σ 2; have scale := Cfluct * 3 ^ (-↑d / 2 * ↑(n - ell)) * hΓ.thetaHat ^ 2; have T := Real.rpow 3 (-x); have lam := T / (2 * K * scale); ell < n → n < m → q ≤ m → 1 ≤ lam → MeasureTheory.Measure.real P (badPairEvent Hshift t αbad q m n) ≤ ↑S.card * (↑D.card * Real.exp (-lam ^ tau))) {t αbad : ℝ} {P : Ch04.RestrictionCoeffLaw d} (hP : Ch04.RestrictionLawCarrier P) (hStruct : Ch04.RestrictionStructuralLaw P) (hΓ : GammaSigmaCoarseGrainedEllipticity P hP hStruct) :
hΓ.sigma = σ → hΓ.params = params → ∀ {q : ℕ}, have K := quenchedProbeEnvelopeConst d; have N0 := annealedAlgebraicEntryScale P hΓ.toQuantitativeCoarseGrainedEllipticity Centry; have Hshift := fun (M N : ℕ) (aω : RegCoeffField d) => quenchedProbeEnvelope hP hStruct (N0 + M) (N0 + N) aω; have S := Finset.univ; have b := ↑d / 2; have L := (a * Real.log 3)⁻¹ * Real.log (max (2 * K) 1); have c := min (t - αbad) (min (b - αbad) (min ((t - αbad) * (1 + b / a)) (b - αbad * (1 + b / a)))); have τ := min σ 2; have A := 3 ^ (b * ↑q - b * (L + 1)) / (2 * K * Cfluct * hΓ.thetaHat ^ 2); have ρ := 3 ^ c; have w := ↑(3 ^ d); 0 < t → αbad < t → αbad < b → αbad * (1 + b / a) < b → 1 ≤ A → MeasureTheory.Measure.real P (highTopBadScaleEvent Hshift K a t αbad q) ≤ ↑S.card * (Real.exp (-A ^ τ) * weightedLinearExpKernelConst w (ρ ^ τ))

Sharp high-top bad-scale component estimate from a fixed high-pair tail bound. This helper exposes the constants so that the top and bottom high branches can be assembled with the same intermediate-scale exponent.

theorem HCPolySupport.Book.Ch05.Section57.measureReal_shiftedHighTopBadScaleEvent_quenchedProbeEnvelope_le_weighted_kernel {d : ℕ} [NeZero d] {σ : ℝ} (hσ_pos : 0 < σ) (params : QuantitativeCoarseGrainedEllipticityParams d) :
∃ (Cfluct : ℝ) (Centry : ℝ) (a : ℝ), 0 < Cfluct ∧ 0 < Centry ∧ 0 < a ∧ ∀ {t αbad : ℝ} {P : Ch04.RestrictionCoeffLaw d} (hP : Ch04.RestrictionLawCarrier P) (hStruct : Ch04.RestrictionStructuralLaw P) (hΓ : GammaSigmaCoarseGrainedEllipticity P hP hStruct), hΓ.sigma = σ → hΓ.params = params → ∀ {q : ℕ}, have K := quenchedProbeEnvelopeConst d; have N0 := annealedAlgebraicEntryScale P hΓ.toQuantitativeCoarseGrainedEllipticity Centry; have Hshift := fun (M N : ℕ) (aω : RegCoeffField d) => quenchedProbeEnvelope hP hStruct (N0 + M) (N0 + N) aω; have S := Finset.univ; have b := ↑d / 2; have L := (a * Real.log 3)⁻¹ * Real.log (max (2 * K) 1); have c := min (t - αbad) (min (b - αbad) (min ((t - αbad) * (1 + b / a)) (b - αbad * (1 + b / a)))); have τ := min σ 2; have A := 3 ^ (b * ↑q - b * (L + 1)) / (2 * K * Cfluct * hΓ.thetaHat ^ 2); have ρ := 3 ^ c; have w := ↑(3 ^ d); 0 < t → αbad < t → αbad < b → αbad * (1 + b / a) < b → 1 ≤ A → MeasureTheory.Measure.real P (highTopBadScaleEvent Hshift K a t αbad q) ≤ ↑S.card * (Real.exp (-A ^ τ) * weightedLinearExpKernelConst w (ρ ^ τ))

Sharp high-top bad-scale component estimate with the finite descendant cardinality absorbed by the weighted linear kernel.