OAI/Probability/SLE/Mass/LevelApproximationAdapted.lean
11 declarations, 0 contain sorry, 0 declared as axioms
The finite-level mass accumulated by a deterministic time is measurable in the natural driver filtration. All spatial variables are retained in the past-measurable kernel before integration.
- lemma
OAI.SLEExactGauge.radiusLevelTime_le_iff_prefixline 17 - lemma
OAI.SLEExactGauge.capped_radiusLevelTime_denseline 41 - lemma
OAI.SLEExactGauge.prefix_time_measurableline 79 - lemma
OAI.SLEExactGauge.prefix_level_time_measurableline 106 - theorem
OAI.SLEExactGauge.actual_radius_prefix_measurableline 147 - lemma
OAI.SLEExactGauge.Multipoint.measurable_capped_greenline 179 - lemma
OAI.SLEExactGauge.Multipoint.levelApproximationDensity_eq_cappedGreenline 195 - theorem
OAI.SLEExactGauge.Multipoint.levelApproximationDensity_past_measurableline 209 - lemma
OAI.SLEExactGauge.Multipoint.levelApproximationRealTest_past_measurableline 231 - lemma
OAI.SLEExactGauge.Multipoint.convexLevelMeasure_test_past_measurableline 253 - theorem
OAI.SLEExactGauge.Multipoint.level_radon_limit_has_past_measurable_versionline 276Source documentation
Every actual vague limit at a fixed time has a version measurable in that time's uncompleted natural filtration. The convex sequence is unchanged.
theorem level_radon_limit_has_past_measurable_version {Ω : Type*} [mΩ : MeasurableSpace Ω] (P : Measure Ω) {B : ℝ≥0 → Ω → ℝ} (hm : ∀ t, Measurable (B t)) (hc : ∀ ω, Continuous (fun t => B t ω)) {κ : ℝ} (hκ : 0 < κ) (hκ8 : κ < 8) (γ : Ω → ℝ≥0 → ℂ) (G F : Ω → ℝ≥0 → ℂ → ℂ) (hw : ∀ ω, IsCapacityTwoWitness (fun t => Real.sqrt κ * B t ω) (γ ω) (G ω) (F ω)) (u : ℕ → ℝ) (hu : ∀ n, 0 ≤ u n) (s : ℕ → Finset ℕ) (w : ℕ → ℕ → ℝ) (hw₀ : ∀ n i, i ∈ s n → 0 ≤ w n i) (T : ℝ≥0) (ν : Ω → Measure upperHalfPlane) (hν : ∀ᵐ ω ∂P, (ν ω).Regular) …Mentions: OAI.SLEExactGauge.IsCapacityTwoWitness, OAI.SLEExactGauge.upperHalfPlane