OAI/Probability/SLE/Mass/MassCompensatorMesh.lean
12 declarations, 0 contain sorry, 0 declared as axioms
The deterministic quadratic-error estimate for the prescribed dyadic potential compensator. A finite terminal limit controls the growing horizon.
- lemma
OAI.SLEExactGauge.mass_path_uniformContinuousline 18Source documentation
A continuous mass path with a finite terminal limit is uniformly continuous even though the compensator mesh horizon grows to infinity.
lemma mass_path_uniformContinuous (A : ℝ≥0 → ℝ) (L : ℝ) (hc : Continuous A) (hl : Tendsto A atTop (𝓝 L)) : UniformContinuous A := by … - def
OAI.SLEExactGauge.compensatorMeshTimeline 23 - lemma
OAI.SLEExactGauge.compensatorMeshTime_zeroline 26 - lemma
OAI.SLEExactGauge.compensatorMeshTime_monoline 29 - lemma
OAI.SLEExactGauge.compensatorMeshTime_distline 33 - lemma
OAI.SLEExactGauge.compensatorMeshTime_small_incrementsline 41 - def
OAI.SLEExactGauge.compensatorQuadraticErrorline 57 - lemma
OAI.SLEExactGauge.compensatorQuadraticError_nonnegline 61 - lemma
OAI.SLEExactGauge.compensatorQuadraticError_leline 65 - lemma
OAI.SLEExactGauge.compensatorQuadraticError_le_terminal_sqline 87 - theorem
OAI.SLEExactGauge.compensatorQuadraticError_tendsto_zeroline 99Source documentation
The accumulated squared mass increments vanish for the exact growing horizon and dyadic mesh used by the paper's potential formula.
theorem compensatorQuadraticError_tendsto_zero (A : ℝ≥0 → ℝ) (L : ℝ) (hm : Monotone A) (h0 : A 0=0) (hc : Continuous A) (hl : Tendsto A atTop (𝓝 L)) (hb : ∀ t, A t ≤ L) : Tendsto (compensatorQuadraticError A) atTop (𝓝 0) := by … - theorem
OAI.SLEExactGauge.compensatorQuadraticError_mean_tendsto_zeroline 118Source documentation
Dominated convergence for the exact quadratic mesh error; the bound requires only the second terminal moment, not a uniform time horizon.
theorem compensatorQuadraticError_mean_tendsto_zero {Ω : Type*} [MeasurableSpace Ω] (P : Measure Ω) (A : ℝ≥0 → Ω → ℝ) (L : Ω → ℝ) (hA : ∀ t, Measurable (A t)) (hL : Integrable (fun ω => L ω^2) P) (hp : ∀ᵐ ω ∂P, Monotone (fun t => A t ω) ∧ A 0 ω=0 ∧ Continuous (fun t => A t ω) ∧ Tendsto (fun t => A t ω) atTop (𝓝 (L ω)) ∧ ∀ t, A t ω ≤ L ω) : Tendsto (fun n => ∫ ω, compensatorQuadraticError (fun t => A t ω) n ∂P) atTop (𝓝 0) := by …