OAI/GroupTheory/PolycyclicRecognition/Analysis/MeanProbabilityConverse.lean

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Mean error implies convergence in probability

  1. theorem OAI.PolycyclicRecognition.bad_probability_tendsto_zero_of_mean line 14

    Source documentation

    Markov's inequality gives the probability direction for an integrable nonnegative profile error, without a global bound off its sampling cell.

    theorem bad_probability_tendsto_zero_of_mean
        {X : Type*} [MeasurableSpace X] (μ : ℕ → ProbabilityMeasure X)
        (f : ℕ → X → ℝ) (hi : ∀ n, Integrable (f n) (μ n : Measure X))
        (hf : ∀ n, 0 ≤ᵐ[(μ n : Measure X)] f n)
        (hm : Tendsto (fun n => ∫ x, f n x ∂(μ n : Measure X)) atTop (𝓝 0))
        {ε : ℝ} (hε : 0 < ε) :
        Tendsto (fun n => (μ n : Measure X) {x | ε ≤ f n x}) atTop (𝓝 0) := by
    …