OAI/GroupTheory/PolycyclicRecognition/Analysis/IndependentCellConcentration.lean

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1 declarations, 0 contain sorry, 0 declared as axioms

Passing from permitted suffixes to two ordinary Haar samples

  1. theorem OAI.PolycyclicRecognition.independent_cell_concentration line 16

    Source documentation

    A uniformly bounded volume ratio turns deterministic suffix concentration into concentration of independent ordinary samples.

    theorem independent_cell_concentration
        {G : Type*} [Group G] [MeasurableSpace G] [MeasurableMul₂ G]
        (μ : Measure G) [μ.IsMulLeftInvariant]
        (C D : ℕ → Set G) (hC : ∀ n, MeasurableSet (C n))
        (hD : ∀ n, MeasurableSet (D n))
        (hC0 : ∀ n, μ (C n) ≠ 0) (hCfin : ∀ n, μ (C n) ≠ ∞)
        (hD0 : ∀ n, μ (D n) ≠ 0) (hDfin : ∀ n, μ (D n) ≠ ∞)
        (hcover : ∀ n a, a ∈ C n → ∀ b ∈ C n, a⁻¹ * b ∈ D n)
        {K : ℝ≥0∞} (hK : K ≠ ∞) (hratio : ∀ n, μ (D n) / μ (C n) ≤ K)
        (B : ℕ → Set (G × G)) (hB : ∀ n, MeasurableSet (B n))
        (hp : ∀ k : ℕ → G, (∀ n, k n ∈ D n) →
          Tendsto (fun n => (cellProbabilityMeasure μ (C n) (hC0 n) (hCfin n) : Measure G)
    …

    Mentions: OAI.PolycyclicRecognition.cellProbabilityMeasure