OAI/Probability/InvariantIsing/Haar/MedianMean.lean
3 declarations, 0 contain sorry, 0 declared as axioms
Relating the deterministic medians and means in the concentration step.
- lemma
OAI.InvariantIsing.abs_median_le_boundline 14 - lemma
OAI.InvariantIsing.abs_integral_sub_le_deviation_tailline 43Source documentation
A bounded deviation has mean at most r plus its bound times the r-tail.
lemma abs_integral_sub_le_deviation_tail {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω) [IsProbabilityMeasure μ] (f : Ω → ℝ) (hf : Measurable f) (hfi : Integrable f μ) (m B r : ℝ) (hr : 0 ≤ r) (hB : ∀ ω, |f ω - m| ≤ B) : |(∫ ω, f ω ∂μ) - m| ≤ r + B * μ.real {ω | r ≤ |f ω - m|} := by … - theorem
OAI.InvariantIsing.tendsto_mean_sub_median_zeroline 73Source documentation
Uniformly bounded observables with exponential tails about their medians have means and medians asymptotically equal.
theorem tendsto_mean_sub_median_zero {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω) [IsProbabilityMeasure μ] (f : ℕ → Ω → ℝ) (hf : ∀ n, Measurable (f n)) (m : ℕ → ℝ) (B : ℝ) (hB : 0 ≤ B) (hbound : ∀ n ω, |f n ω| ≤ B) (hl : ∀ n, (1 / 2 : ℝ) ≤ μ.real {ω | f n ω ≤ m n}) (hu : ∀ n, (1 / 2 : ℝ) ≤ μ.real {ω | m n ≤ f n ω}) (htail : ∀ r : ℝ, 0 < r → ∃ C a : ℝ, 0 ≤ C ∧ 0 < a ∧ ∀ n, μ.real {ω | r ≤ |f n ω - m n|} ≤ C * Real.exp (-a * (n : ℝ))) : Tendsto (fun n => (∫ ω, f n ω ∂μ) - m n) atTop (𝓝 0) := by …