OAI/Probability/SLE/Multipoint/MultipointLocalization.lean
7 declarations, 0 contain sorry, 0 declared as axioms
A finite localization for the completion-frozen logarithmic coordinates. Only the log heights and the real driver are cut off; the smooth factors need no angular cutoff.
- def
OAI.SLEExactGauge.Multipoint.localizationMarginTermline 16 - def
OAI.SLEExactGauge.Multipoint.localizationMarginline 23Source documentation
The extra
noneindex is the driver margin, so empty point families are allowed without an artificial height condition.def localizationMargin {ι : Type*} [Fintype ι] (lo hi M : ℝ) (q : ι → ℂ × ℝ) (b : ℝ) : ℝ := …Mentions: OAI.SLEExactGauge.Multipoint.q
- lemma
OAI.SLEExactGauge.Multipoint.localizationMargin_nonneg_iffline 27 - lemma
OAI.SLEExactGauge.Multipoint.localizationMargin_pos_iffline 45 - lemma
OAI.SLEExactGauge.Multipoint.localizationMargin_continuousline 63 - lemma
OAI.SLEExactGauge.Multipoint.localizationMargin_boundaryline 77 - theorem
OAI.SLEExactGauge.Multipoint.exists_multipoint_localizationline 104Source documentation
Stop the continuous adapted state at the first height or driver boundary, capped at the deterministic horizon.
theorem exists_multipoint_localization {Ω ι : Type*} [mΩ : MeasurableSpace Ω] [Fintype ι] (ℱ : Filtration ℝ≥0 mΩ) (Q : ℝ → Ω → ι → ℂ × ℝ) (B : ℝ≥0 → Ω → ℝ) (hQa : Adapted ℱ (fun t : ℝ≥0 => Q t)) (hQc : ∀ ω, Continuous (fun t : ℝ => Q t ω)) (hBa : Adapted ℱ B) (hBc : ∀ ω, Continuous (fun t => B t ω)) (lo hi M : ℝ) (H : ℝ≥0) (hQ0 : ∀ ω i, lo ≤ (Q 0 ω i).1.im ∧ (Q 0 ω i).1.im ≤ hi) (hB0 : ∀ ω, |B 0 ω| ≤ M) : ∃ χ : Ω → ℝ≥0, IsStoppingTime ℱ (fun ω => (χ ω : WithTop ℝ≥0)) ∧ …