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LeanPool.HighContrastHomogenization.Provider.Quenched.SmallContrastOneStepEntryIsotropyAtLevel

High-contrast homogenization: Provider.Quenched.SmallContrastOneStepEntryIsotropyAtLevel #

Imported from the Apache-2.0 HighContrastHomogenization development at commit 7a13dbcd8d6609264a713373f5c69ceeac870472.

The account's one-step entry estimate at a released split level #

The hub applied at the released caps: the weak slot is the released sharp weak value and every other slot is the pinned one.

theorem HCPolySupport.HighContrast.Quenched.exists_account_one_step_entry_of_block_at_level (d : ℕ) (hd : 2 ≤ d) :
∃ (Cpre : ℝ) (H : ℕ) (eta : ℝ), 1 ≤ Cpre ∧ 4 ≤ H ∧ 0 < eta ∧ ∀ {g : ℝ}, g ∈ Set.Ico 0 1 → ∀ {P : MeasureTheory.Measure (CoeffSpace d)} [MeasureTheory.IsProbabilityMeasure P] {E : BlockMat d} {Ψ : ℝ → ℝ} {K : ℝ} {S : CoeffSpace d → ℝ}, CoarseEllipticityDagger P g E Ψ K S → IsStationaryLaw P → ∀ {lAl : ℤ}, ↑(kZero d) ≤ lAl → ∀ {Cd : ℝ}, max 1 (12 * ↑d * √↑d) ≤ Cd → ∀ {mAl : Mat d}, Matrix.PosDef mAl → IsRoundedGrid lAl (roundedGrid lAl mAl) → ∀ {Gacc : ℕ}, ‖roundedGrid lAl mAl‖ * √↑d ≤ 3 ^ Gacc → ∀ {rho : ℝ}, 0 < rho → rho < 1 → g ≤ rho → ∀ {s t : ℤ}, s ≤ t → t = s + ↑H → lAl ≤ s → ∀ (Hw : ℕ), lAl ≤ t - ↑Hw → ∀ {sKw : ℤ}, growthBar K ≤ 3 ^ sKw → sKw ≤ t - ↑Hw → sourceMomentTwo K ≤ 3 ^ (t + ↑(Gacc + 1) - sKw) → (∀ (k : ℤ), lAl ≤ k → k ≤ t → HasFiniteAdaptedMean P (roundedGrid lAl mAl) k ∧ Book.Ch02.BlockPosDef (adaptedMean P (roundedGrid lAl mAl) k)) → ∀ {S0 SStar0 K0 : Mat d}, Matrix.PosDef S0 → Matrix.PosDef SStar0 → toFullBlockMat (adaptedMean P (roundedGrid lAl mAl) t) = schurBlock S0 SStar0 K0 → ∀ {eps : ℝ}, 0 < eps → eps ≤ 1 → ↑d * (schurHattedContrast S0 SStar0 - 1) ≤ eps → 6 * (blockContrast (adaptedMean P (roundedGrid lAl mAl) t) - 1) ≤ 1 → ↑d * (adaptedHattedContrast P (roundedGrid lAl mAl) s - adaptedHattedContrast P (roundedGrid lAl mAl) t) ≤ 1 → ⋯ → ⋯

The account's one-step entry estimate, at a released split level.