Survival of critical BGW trees in the stable domain #
Asymptotics of survival at the stable height scale and their extinction consequences.
theorem
BGW.StableTrees.Survival.tendsto_floor_scale
{μ : PMF ℕ}
{θ : ℝ}
{B : ℕ → ℝ}
(h : StableDomain μ θ B)
{δ : ℝ}
(hδ : 0 < δ)
:
Filter.Tendsto (fun (n : ℕ) => ↑⌊δ * ↑n / B n⌋₊ * B n / ↑n) Filter.atTop (nhds δ)
The floor index k_n = ⌊δ n / B_n⌋ satisfies k_n B_n / n → δ.
theorem
BGW.StableTrees.Survival.tendsto_survivalProb_floor
{μ : PMF ℕ}
{θ : ℝ}
{B : ℕ → ℝ}
(h : StableDomain μ θ B)
{δ : ℝ}
(hδ : 0 < δ)
:
Filter.Tendsto (fun (n : ℕ) => B n * survivalProb μ ⌊δ * ↑n / B n⌋₊) Filter.atTop (nhds (csbpSurvival θ δ))
The floor form k_n = ⌊δ n / B_n⌋.
theorem
BGW.StableTrees.Survival.tendsto_floor_mul_survivalProb
{μ : PMF ℕ}
{θ : ℝ}
{B : ℕ → ℝ}
(h : StableDomain μ θ B)
{δ : ℝ}
(hδ : 0 < δ)
{k : ℕ → ℕ}
(hk : Filter.Tendsto (fun (n : ℕ) => ↑(k n) * B n / ↑n) Filter.atTop (nhds δ))
{a : ℝ}
(ha : 0 ≤ a)
:
Filter.Tendsto (fun (n : ℕ) => ↑⌊a * B n⌋₊ * survivalProb μ (k n)) Filter.atTop (nhds (a * csbpSurvival θ δ))
⌊a B_n⌋ independent trees: expected number reaching height k_n tends to a v(δ).
theorem
BGW.StableTrees.Survival.tendsto_extinction_pow
{μ : PMF ℕ}
{θ : ℝ}
{B : ℕ → ℝ}
(h : StableDomain μ θ B)
{δ : ℝ}
(hδ : 0 < δ)
{k : ℕ → ℕ}
(hk : Filter.Tendsto (fun (n : ℕ) => ↑(k n) * B n / ↑n) Filter.atTop (nhds δ))
{a : ℝ}
(ha : 0 ≤ a)
:
Filter.Tendsto (fun (n : ℕ) => (1 - survivalProb μ (k n)) ^ ⌊a * B n⌋₊) Filter.atTop
(nhds (Real.exp (-(a * csbpSurvival θ δ))))
Extinction condition (DLG): ⌊a B_n⌋ independent trees all die before generation
k_n with probability tending to exp(-a v(δ)).
theorem
BGW.StableTrees.Survival.tendsto_floor_mul_survivalProb_floor
{μ : PMF ℕ}
{θ : ℝ}
{B : ℕ → ℝ}
(h : StableDomain μ θ B)
{δ : ℝ}
(hδ : 0 < δ)
{a : ℝ}
(ha : 0 ≤ a)
:
Filter.Tendsto (fun (n : ℕ) => ↑⌊a * B n⌋₊ * survivalProb μ ⌊δ * ↑n / B n⌋₊) Filter.atTop (nhds (a * csbpSurvival θ δ))
Floor form of tendsto_floor_mul_survivalProb (the K11 union bound).
theorem
BGW.StableTrees.Survival.tendsto_extinction_pow_floor
{μ : PMF ℕ}
{θ : ℝ}
{B : ℕ → ℝ}
(h : StableDomain μ θ B)
{δ : ℝ}
(hδ : 0 < δ)
{a : ℝ}
(ha : 0 ≤ a)
:
Filter.Tendsto (fun (n : ℕ) => (1 - survivalProb μ ⌊δ * ↑n / B n⌋₊) ^ ⌊a * B n⌋₊) Filter.atTop
(nhds (Real.exp (-(a * csbpSurvival θ δ))))
Floor form of tendsto_extinction_pow; a = 1 is DLG's extinction condition.