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BGW.StableTrees.UnitExcursionDensityCandidate

The normalized prefix-density candidate at good horizons #

Increasing endpoint cutoffs give mass equal to the stable density at zero. Bounded convergence then removes the cutoffs from every good-time cylinder test.

References #

theorem BGW.StableTrees.lintegral_prefix_density_mass_of_good {θ : ℝ} (hθ : 1 < θ ∧ θ ≤ 2) (b : NNReal) (hb : b ∈ Set.Ioo 0 1) (hbgood : NoFixedJumpUnit θ b) :

At a good horizon the prefix density has mass equal to the stable density at zero.

The unnormalized Kendall-weighted excursion survival measure.

Equations
  • One or more equations did not get rendered due to their size.
Instances For
    theorem BGW.StableTrees.measurable_prefixDensity (θ : ℝ) (a : NNReal) :
    Measurable fun (e : Excursion) => ENNReal.ofReal (qKernel θ (1 - ↑a) (↑e.path a))

    Measurability of the prefix density.

    Good-horizon normalization of the unnormalized density measure.

    Finiteness of the density measure at a good horizon.

    theorem BGW.StableTrees.tendsto_integral_prefixCutoff (μ : MeasureTheory.Measure Excursion) [MeasureTheory.IsFiniteMeasure μ] (a : NNReal) (F : Excursion → ℝ) (hF : Measurable F) (hFb : ∃ (C : ℝ), ∀ (e : Excursion), |F e| ≤ C) :
    Filter.Tendsto (fun (n : ℕ) => ∫ (e : Excursion), F e * prefixCutoff n (↑e.path a) ∂μ) Filter.atTop (nhds (∫ (e : Excursion), F e ∂μ))

    Removing endpoint cutoffs under a finite excursion measure.

    theorem BGW.StableTrees.integral_goodTimes_eq_prefixDensityMeasure {θ : ℝ} (hθ : 1 < θ ∧ θ ≤ 2) (b : NNReal) (hb : b ∈ Set.Ioo 0 1) (hbgood : NoFixedJumpUnit θ b) {n : ℕ} (t : Fin n → NNReal) (ht : ∀ (i : Fin n), t i ≤ b) (hgood : ∀ (i : Fin n), NoFixedJumpUnit θ (t i)) (φ : (Fin n → ℝ) → ℝ) (hφ : Continuous φ) (hφb : ∃ (C : ℝ), ∀ (x : Fin n → ℝ), |φ x| ≤ C) :
    ∫ (e : Excursion), φ fun (i : Fin n) => ↑e.path (t i) ∂↑(unitExcursionLaw θ) = (Scalar.stableDensity θ 0)⁻¹ * ∫ (e : Excursion), φ fun (i : Fin n) => ↑e.path (t i) ∂prefixDensityMeasure θ b

    Good-time cylinder integrals without the endpoint cutoff.