Tail generating functions for extendable branching processes

Citation data:

Stochastic Processes and their Applications, ISSN: 0304-4149, Vol: 127, Issue: 5, Page: 1649-1675

Publication Year:
2017
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Repository URL:
http://publications.lib.chalmers.se/publication/249615
DOI:
10.1016/j.spa.2016.09.004
Author(s):
Sagitov, Serik
Publisher(s):
Elsevier BV
Tags:
Mathematics, Markov branching process, Branching with killing, Modified linear-fractional distribution, xlogx-condition
article description
We study branching processes of independently splitting particles in the continuous time setting. If time is calibrated such that particles live on average one unit of time, the corresponding transition rates are fully determined by the generating function f for the offspring number of a single particle. We are interested in the defective case f(1)=1−ϵ, where each splitting particle with probability ϵ is able to terminate the whole branching process. A branching process {Zt}t≥0 will be called extendable if f(q)=q and f(r)=r for some 0≤q

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