Parametrised branching processes: a functional version of Kesten \& Stigum theorem
C\'ecile Mailler (1), Jean-Fran\c{c}ois Marckert (2) ((1), Department of Mathematical Sciences, University of Bath, (2) CNRS, LaBRI,, Universit\'e Bordeaux)

TL;DR
This paper extends the classical Kesten-Stigum theorem to a parametrized family of supercritical Galton-Watson processes, showing convergence of normalized processes to a fixed point solution under certain conditions.
Contribution
It introduces a functional version of the Kesten-Stigum theorem for processes with a parameter, characterizing the limit as a fixed point of a stochastic equation.
Findings
Convergence of normalized processes in the Skorokhod topology.
Characterization of the limit process as a fixed point.
Conditions under which convergence holds.
Abstract
Let be a supercritical Galton-Watson process whose offspring distribution has mean and is such that . According to the famous Kesten \& Stigum theorem, converges almost surely, as . The limiting random variable has mean~1, and its distribution is characterised as the solution of a fixed point equation. \par In this paper, we consider a family of Galton-Watson processes defined for~ ranging in an interval , and where we interpret as the time (when is the generation). The number of children of an individual at time~ is given by , where is a c\`adl\`ag integer-valued process which is assumed to be almost surely non-decreasing and such that $\mathbb E(X(\lambda))=\lambda…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Markov Chains and Monte Carlo Methods
