The Kesten-Stigum theorem is a fundamental criterion for the rate of
growth of a supercritical branching process, showing that an L log L
condition is decisive. In critical and subcritical cases, results of Kol-
mogorov and later authors give the rate of decay of the probability that
the process survives at least n generations. We give conceptual proofs of
these theorems based on comparisons of Galton-Watson measure to an-
other measure on the space of trees. This approach also explains Yaglom's
exponential limit law for conditioned critical branching processes via a
simple characterization of the exponential distribution.
%0 Journal Article
%1 lyons1995conceptual
%A Lyons, Russell
%A Pemantle, Robin
%A Peres, Yuval
%D 1995
%I The Institute of Mathematical Statistics
%J Ann. Probab.
%K branching_processes convergence limit_theorems probability_theory
%N 3
%P 1125--1138
%R 10.1214/aop/1176988176
%T Conceptual Proofs of $L$ Log $L$ Criteria for Mean Behavior of Branching Processes
%U http://dx.doi.org/10.1214/aop/1176988176
%V 23
%X The Kesten-Stigum theorem is a fundamental criterion for the rate of
growth of a supercritical branching process, showing that an L log L
condition is decisive. In critical and subcritical cases, results of Kol-
mogorov and later authors give the rate of decay of the probability that
the process survives at least n generations. We give conceptual proofs of
these theorems based on comparisons of Galton-Watson measure to an-
other measure on the space of trees. This approach also explains Yaglom's
exponential limit law for conditioned critical branching processes via a
simple characterization of the exponential distribution.
@article{lyons1995conceptual,
abstract = {The Kesten-Stigum theorem is a fundamental criterion for the rate of
growth of a supercritical branching process, showing that an L log L
condition is decisive. In critical and subcritical cases, results of Kol-
mogorov and later authors give the rate of decay of the probability that
the process survives at least n generations. We give conceptual proofs of
these theorems based on comparisons of Galton-Watson measure to an-
other measure on the space of trees. This approach also explains Yaglom's
exponential limit law for conditioned critical branching processes via a
simple characterization of the exponential distribution.},
added-at = {2015-02-27T01:05:37.000+0100},
author = {Lyons, Russell and Pemantle, Robin and Peres, Yuval},
biburl = {https://www.bibsonomy.org/bibtex/27aa47075551408b20d931e9d6688d14f/peter.ralph},
doi = {10.1214/aop/1176988176},
fjournal = {The Annals of Probability},
interhash = {5965b172fb62ff468c340c462d88b944},
intrahash = {7aa47075551408b20d931e9d6688d14f},
journal = {Ann. Probab.},
keywords = {branching_processes convergence limit_theorems probability_theory},
month = {07},
number = 3,
pages = {1125--1138},
publisher = {The Institute of Mathematical Statistics},
timestamp = {2015-02-27T01:05:37.000+0100},
title = {Conceptual Proofs of $L$ Log $L$ Criteria for Mean Behavior of Branching Processes},
url = {http://dx.doi.org/10.1214/aop/1176988176},
volume = 23,
year = 1995
}