OAI/GroupTheory/PolycyclicRecognition/Analysis/BoundedProbabilityMean.lean

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Bounded profile errors: convergence in probability implies mean convergence

  1. theorem OAI.PolycyclicRecognition.bounded_mean_tendsto_zero_of_bad_probabilities line 16

    Source documentation

    The compact profile bounds turn a vanishing bad-event probability into vanishing mean error, even when the sampling law changes with the scale.

    theorem bounded_mean_tendsto_zero_of_bad_probabilities
        {X : Type*} [MeasurableSpace X]
        (μ : ℕ → ProbabilityMeasure X) (f : ℕ → X → ℝ)
        (hf : ∀ n, Measurable (f n)) {C : ℝ}
        (hbound : ∀ n x, 0 ≤ f n x ∧ f n x ≤ C)
        (hbad : ∀ ε : ℝ, 0 < ε →
          Tendsto (fun n => (μ n : Measure X) {x | ε ≤ f n x}) atTop (𝓝 0)) :
        Tendsto (fun n => ∫ x, f n x ∂(μ n : Measure X)) atTop (𝓝 0) := by
    …