OAI/Analysis/LipschitzHilbert/Estimates/HilbertVariation.lean
2 declarations, 0 contain sorry, 0 declared as axioms
The finite-dimensional Hilbert consequence of the published scalar input.
- theorem
OAI.LipschitzHilbert.measurable_variationCubeline 15 - theorem
OAI.LipschitzHilbert.lepingle_euclidean_boundline 37Source 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