OAI/MeasureTheory/Integral/BoundedMoments.lean

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4 declarations, 0 contain sorry, 0 declared as axioms

  1. lemma OAI.LittlewoodFiniteFlatness.bounded_rpow_threshold line 14

    Source documentation

    A threshold estimate, including exponents strictly between zero and one.

    lemma bounded_rpow_threshold {x δ p : ℝ} {k : ℕ}
        (hx : 0 ≤ x) (hx1 : x ≤ 1) (hδ : 0 < δ) (hp : 0 < p) :
        x ^ p ≤ δ ^ p + x ^ k / δ ^ k := by
    …
  2. theorem OAI.LittlewoodFiniteFlatness.tendsto_integral_rpow_of_bounded_moment line 29

    Source documentation

    Bounded measurable functions: convergence of any positive integer moment implies convergence of every positive real moment. No pointwise convergence is assumed.

    theorem tendsto_integral_rpow_of_bounded_moment
        {α : Type*} [MeasurableSpace α] (μ : Measure α) [IsProbabilityMeasure μ]
        (g : ℕ → α → ℝ) (hg : ∀ n, Measurable (g n))
        (hb : ∀ᶠ n in atTop, ∀ x, 0 ≤ g n x ∧ g n x ≤ 1)
        (k : ℕ) (_hk : 0 < k)
        (hmoment : Tendsto (fun n => ∫ x, g n x ^ k ∂μ) atTop (𝓝 0))
        (p : ℝ) (hp : 0 < p) :
        Tendsto (fun n => ∫ x, g n x ^ p ∂μ) atTop (𝓝 0) := by
    …
  3. theorem OAI.LittlewoodFiniteFlatness.tendsto_integral_abs_sub_one_rpow line 75

    Source documentation

    The interface used by the normalized Littlewood family.

    theorem tendsto_integral_abs_sub_one_rpow
        {α : Type*} [MeasurableSpace α] (μ : Measure α) [IsProbabilityMeasure μ]
        (f : ℕ → α → ℝ) (hf : ∀ n, Measurable (f n))
        (h0 : ∀ n x, 0 ≤ f n x)
        (h2 : ∀ᶠ n in atTop, ∀ x, f n x ≤ 2)
        (hmoment : Tendsto (fun n => ∫ x, (f n x - 1) ^ (2 : ℕ) ∂μ) atTop (𝓝 0))
        (p : ℝ) (hp : 0 < p) :
        Tendsto (fun n => ∫ x, |f n x - 1| ^ p ∂μ) atTop (𝓝 0) := by
    …
  4. theorem OAI.LittlewoodFiniteFlatness.tendsto_integral_abs_sub_one_rpow_of_fourth line 91

    Source documentation

    Fourth-moment variant with exactly the same boundedness hypotheses.

    theorem tendsto_integral_abs_sub_one_rpow_of_fourth
        {α : Type*} [MeasurableSpace α] (μ : Measure α) [IsProbabilityMeasure μ]
        (f : ℕ → α → ℝ) (hf : ∀ n, Measurable (f n))
        (h0 : ∀ n x, 0 ≤ f n x)
        (h2 : ∀ᶠ n in atTop, ∀ x, f n x ≤ 2)
        (hmoment : Tendsto (fun n => ∫ x, (f n x - 1) ^ (4 : ℕ) ∂μ) atTop (𝓝 0))
        (p : ℝ) (hp : 0 < p) :
        Tendsto (fun n => ∫ x, |f n x - 1| ^ p ∂μ) atTop (𝓝 0) := by
    …