OAI/Analysis/LipschitzHilbert/Estimates/HilbertVariation.lean

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The finite-dimensional Hilbert consequence of the published scalar input.

  1. theorem OAI.LipschitzHilbert.measurable_variationCube line 15
  2. theorem OAI.LipschitzHilbert.lepingle_euclidean_bound line 37

    Source documentation

    No extra Hilbert-valued input is assumed: coordinatewise scalar martingales and finite Minkowski give the same squared Lépingle constant.

    theorem lepingle_euclidean_bound (hL : LepingleInput) :
        ∃ C : ℝ≥0, 0 < C ∧
          ∀ (Ω : Type) (m : MeasurableSpace Ω) (μ : Measure Ω),
            IsProbabilityMeasure μ → ∀ (κ : Type) [Fintype κ]
              (ℱ : Filtration ℕ m) (F : ℕ → Ω → EuclideanSpace ℝ κ),
              (∀ k, Martingale (fun n x => F n x k) ℱ μ) →
              (∀ k n, MemLp (fun x => F n x k) 2 μ) → ∀ N : ℕ,
                (∫⁻ x, ENNReal.ofReal (finiteCubicVariation (fun n => F n x) N) ^
                  (2 / 3 : ℝ) ∂μ) ≤
                  (C : ℝ≥0∞) ^ 2 * ∫⁻ x, ‖F N x‖ₑ ^ 2 ∂μ := by
    …

    Mentions: OAI.LipschitzHilbert.LepingleInput, OAI.LipschitzHilbert.finiteCubicVariation