Advances in Applied Probability

Multitype Bienaymé--Galton--Watson processes escaping extinction

Serik Sagitov and Maria Conceição Serra

Source: Adv. in Appl. Probab. Volume 41, Number 1 (2009), 225-246.

Abstract

In the framework of a multitype Bienaymé--Galton--Watson (BGW) process, the event that the daughter's type differs from the mother's type can be viewed as a mutation event. Assuming that mutations are rare, we study a situation where all types except one produce on average less than one offspring. We establish a neat asymptotic structure for the BGW process escaping extinction due to a sequence of mutations toward the supercritical type. Our asymptotic analysis is performed by letting mutation probabilities tend to 0. The limit process, conditional on escaping extinction, is another BGW process with an enriched set of types, allowing us to delineate a stem lineage of particles that leads toward the escape event. The stem lineage can be described by a simple Markov chain on the set of particle types. The total time to escape becomes a sum of a random number of independent, geometrically distributed times spent at intermediate types.

Primary Subjects: 60J80
Secondary Subjects: 92D25
Keywords: Bienaymé--Galton--Watson process; decomposable; escape from extinction; multitype; wild-type branching process

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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aap/1240319583
Digital Object Identifier: doi:10.1239/aap/1240319583

References

Athreya, K. B. and Ney, P. E. (1972). Branching Processes. Springer, New York.
Mathematical Reviews (MathSciNet): MR373040
Ethier, S. N. and Kurtz, T. G. (1986). Markov Processes. John Wiley, New York.
Mathematical Reviews (MathSciNet): MR838085
Geiger, J. (1999). Elementary new proofs of classical limit theorems for Galton--Watson processes. J. Appl. Prob. 36, 301--309.
Mathematical Reviews (MathSciNet): MR1724856
Digital Object Identifier: doi:10.1239/jap/1032374454
Project Euclid: euclid.jap/1032374454
Zentralblatt MATH: 0942.60071
Haccou, P., Jagers, P. and Vatutin, V. A. (2007). Branching Processes: Variation, Growth and Extinction of Populations. Cambridge University Press.
Mathematical Reviews (MathSciNet): MR2429372
Zentralblatt MATH: 1118.92001
Iwasa, Y., Michor, F. and Nowak, M. A. (2003). Evolutionary dynamics of escape from biomedical intervention. Proc. R. Soc. London B 270, 2573--2578.
Iwasa, Y., Michor, F. and Nowak, M. A. (2004). Evolutionary dynamics of invasion and escape. J. Theoret. Biol. 226, 205--214.
Mathematical Reviews (MathSciNet): MR2069303
Digital Object Identifier: doi:10.1016/j.jtbi.2003.08.014
Lyons, R., Pemantle, R. and Peres, Y. (1995). Conceptual proofs of $l\rm logl$ criteria for mean behavior of branching processes. Ann. Prob. 23, 1125--1138.
Mathematical Reviews (MathSciNet): MR1349164
Zentralblatt MATH: 0840.60077
Digital Object Identifier: doi:10.1214/aop/1176988176
Project Euclid: euclid.aop/1176988176
Serra, M. C. and Haccou, P. (2007). Dynamics of escape mutants. Theoret. Pop. Biol. 72, 167--178.
Sevast'yanov, B. A. (1971). Branching Processes. Nauka, Moscow (in Russian).
Mathematical Reviews (MathSciNet): MR345229
Taib, Z. (1992). Branching Processes and Neutral Evolution (Lecture Notes Biomath. 93). Springer, Berlin.
Mathematical Reviews (MathSciNet): MR1176317

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