Forest masses and prefix weights #
Canonical forest mass, inclusive tail and exact-prefix weight definitions. The probability identities retain extinction and admissibility hypotheses explicitly.
Reference: J.-F. Le Gall, Random trees and applications, Probab. Surveys 2 (2005), Section 1.
Admissible size: the exact-size mass P[ζ = n] is nonzero.
Equations
Instances For
f_j(r): probability that a j-forest of Bienaymé trees has r vertices.
Equations
- BGW.StableTrees.forestMass μ j r = (BGW.forestWeight (⇑μ) j r).toReal
Instances For
G_j(r) = ∑_{k ≥ r} f_j(k): probability that a j-forest has at least r vertices.
Equations
- BGW.StableTrees.forestTail μ j r = ∑' (k : ℕ), (Set.Ici r).indicator (fun (k : ℕ) => BGW.StableTrees.forestMass μ j k) k
Instances For
Discrete RN weight R_n(m,j) = f_j(n-m)/G_j(n-m) * G_1(n)/f_1(n) from the tail-conditioned
law to the exact-size law, at prefix length m < n with j = W_m + 1 (totalized division).
Equations
- One or more equations did not get rendered due to their size.
Instances For
f_1(n) = P[ζ = n].
G_1(n) = P[ζ ≥ n] for a critical non-degenerate law.
Exact mass along an explicit unbounded admissible sequence:
q_k B_{q_k} f_1(q_k) → d p₁(0) (false along all integers when d > 1).