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BGW.StableTrees.SupremumLocalTimeStopped

Stopped occupation estimates for the public supremum local time #

The almost sure identifications of the public clock and its ladder times with their auxiliary counterparts transfer the stopped second moments and full-filter convergence.

Reference: J. Bertoin, Lévy Processes, Cambridge University Press, 1996, Chapter IV.

theorem BGW.StableTrees.supOccupation_stopped_L2_bound {θ : ℝ} (hθ : 1 < θ ∧ θ ≤ 2) (z : NNReal) :
∃ (C : ℝ), 0 ≤ C ∧ ∀ (ε : ℝ), 0 < ε → ε ≤ 1 → MeasureTheory.Integrable (fun (f : Skorokhod.DLoc) => supOccupation ε f (supLadderTime θ z f) ^ 2) ↑(stableLocalLaw θ) ∧ ∫ (f : Skorokhod.DLoc), supOccupation ε f (supLadderTime θ z f) ^ 2 ∂↑(stableLocalLaw θ) ≤ C

Stopped second-moment bound: for each level z there is C bounding, uniformly in ε ∈ (0, 1], the second moment of the approximation stopped at the ladder time A_z; the squared approximation is integrable.

theorem BGW.StableTrees.supOccupation_stopped_L2_tendsto {θ : ℝ} (hθ : 1 < θ ∧ θ ≤ 2) (z : NNReal) :
(∀ (ε : ℝ), 0 < ε → ε ≤ 1 → MeasureTheory.Integrable (fun (f : Skorokhod.DLoc) => (supOccupation ε f (supLadderTime θ z f) - ↑z) ^ 2) ↑(stableLocalLaw θ)) ∧ Filter.Tendsto (fun (ε : ℝ) => ∫ (f : Skorokhod.DLoc), (supOccupation ε f (supLadderTime θ z f) - ↑z) ^ 2 ∂↑(stableLocalLaw θ)) (nhdsWithin 0 (Set.Ioi 0)) (nhds 0)

Stopped L² convergence: E[(supOccupation ε f (A_z) - z)²] → 0 as ε ↓ 0, consistent with M(A_z) = z. The auxiliary clock is constructed from compact-time estimates before the public choice of supEps; this public stopped theorem follows by the identification of the public local time and the stopped energy estimate.

theorem BGW.StableTrees.supOccupation_stopped_uniform_tendstoInMeasure {θ : ℝ} (hθ : 1 < θ ∧ θ ≤ 2) (z : NNReal) (δ : ℝ) (hδ : 0 < δ) :
Filter.Tendsto (fun (ε : ℝ) => ↑(stableLocalLaw θ) {f : Skorokhod.DLoc | δ ≤ ⨆ (t : ↑(Set.Iic (supLadderTime θ z f))), |supOccupation ε f ↑t - supLocalTime θ f ↑t|}) (nhdsWithin 0 (Set.Ioi 0)) (nhds 0)

Stopped Cauchy bound: the approximations stopped at A_z converge to M(A_z) = z uniformly over the stopped time interval, in probability, as ε ↓ 0 along the full filter.