Limit theorems for stochastic growth models. I
- 1 August 1972
- journal article
- Published by Cambridge University Press (CUP) in Advances in Applied Probability
- Vol. 4 (2), 193-232
- https://doi.org/10.2307/1425996
Abstract
We consider d-dimensional stochastic processes which take values in (R+)d. These processes generalize Galton-Watson branching processes, but the main assumption of branching processes, independence between particles, is dropped. Instead, we assume for some Here τ: (R+)d → R+, |x| = Σ1d |x(i)| A = {x ∈ (R+)d: |x| = 1} and T: A → A. Under various assumptions on the maps τ and T it is shown that with probability one there exists a ρ > 1, a fixed point p ∈ A of T and a random variable w such that limn→∞Znρ−n = wp. This result is a generalization of the main limit theorem for super-critical branching processes; note, however, that in the present situation both p and ρ are random as well. The results are applied to a population genetical model for zygotic selection without mutation at one locus.Keywords
This publication has 1 reference indexed in Scilit:
- An Inequality Arising in Genetical TheoryThe American Mathematical Monthly, 1959