OAI/GroupTheory/PolycyclicRecognition/Analysis/BoundedProbabilityMean.lean
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Bounded profile errors: convergence in probability implies mean convergence
- theorem
OAI.PolycyclicRecognition.bounded_mean_tendsto_zero_of_bad_probabilitiesline 16Source 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 …