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LeanPool.HighContrastHomogenization.Provider.Quenched.SmallContrastOneStepSlotsSplit

High-contrast homogenization: Provider.Quenched.SmallContrastOneStepSlotsSplit #

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

The burn-split one-step estimate with its slots #

The released one-step estimate with the slot family at the burn-split supply supplyMscSplit d E; the weak-cap branch keeps its availability threshold unchanged.

theorem HCPolySupport.HighContrast.Quenched.exists_one_step_with_slots_of_block_at_level_conv_split (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 → boundaryConst Cd g mAl ≤ 3 ^ (Gacc + 1) → (∀ᵐ (a : CoeffSpace d) ∂P, ∀ (m : ℤ), S a ≤ 3 ^ m → ∀ k ≤ m, ∀ (w : Fin d → ℤ), standardCellCenter k w ∈ centeredCube d m → BlockMatLoewnerLE (coarseBlock (standardCell d k w) a) (blockScale (3 ^ (g * max (↑m - 2 * ↑(Gacc + 1) - ↑k) 0)) E)) → ∀ {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 - ↑Hw + ↑(Gacc + 1) - sKw) → ∀ (M : ℕ), 1 + 2 * ↑(2 + M) * (1 + Real.log (growthBar K)) * growthBar K ^ IndependentSums.natTriangular (2 + M) ≤ 3 ^ (↑M * ↑(t - ↑Hw + ↑(Gacc + 1) - 1 - sKw)) → ∀ {jb : ℤ}, t - ↑Hw ≤ jb → jb ≤ t → ∀ {delta : ℝ}, 0 ≤ delta → delta ≤ 1 / 9 → (∀ (k : ℤ), lAl ≤ k → k ≤ t → hatExcessAt P (roundedGrid lAl mAl) k ≤ delta) → ∀ {Csub : ℝ}, ⋯

The one-step estimate with slots, at the caller's mean conversion.