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BGW.StableTrees.SurvivalExpansion

The offspring generating-function expansion at the stable scale #

The stable Laplace asymptotic is transferred from the canonical norming to any attracting norming, and then from the exponential generating function to its real argument 1 - λ / Bₙ.

theorem BGW.StableTrees.Survival.centeredLaplace_realGF_difference_bound (μ : PMF ℕ) (hc : IsCritical μ) {u : ℝ} (hu0 : 0 ≤ u) (hu1 : u ≤ 1) :

An O(u²) comparison between the exponential and real generating functions.

theorem BGW.StableTrees.Survival.tendsto_centeredLaplace_stableDomain {μ : PMF ℕ} {θ : ℝ} {B : ℕ → ℝ} (h : StableDomain μ θ B) {lam : ℝ} (hlam : 0 < lam) :
Filter.Tendsto (fun (n : ℕ) => ↑n * (Attraction.LaplaceExpansion.centeredLaplace (stepLaw μ) (lam / B n) - 1)) Filter.atTop (nhds (lam ^ θ))

The centered step Laplace expansion along an arbitrary stable norming.

theorem BGW.StableTrees.Survival.tendsto_realGF_difference_zero_finiteVariance {μ : PMF ℕ} {B : ℕ → ℝ} (h : StableDomain μ 2 B) (hsq : MeasureTheory.Integrable (fun (z : ℤ) => ↑z ^ 2) (stepLaw μ)) {lam : ℝ} (hlam : 0 < lam) :
Filter.Tendsto (fun (n : ℕ) => ↑n * (Attraction.LaplaceExpansion.centeredLaplace (stepLaw μ) (lam / B n) - 1 - (realGF μ (1 - lam / B n) - (1 - lam / B n)))) Filter.atTop (nhds 0)

In finite variance, the real and exponential generating-function expansions have the same second-order term.