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The Galton-Watson process conditioned on the total progeny

Published online by Cambridge University Press:  14 July 2016

Douglas P. Kennedy*
Affiliation:
University of Sheffieldcor1corresp
*

Abstract

Let Zk denote the number in the kth generation of a Galton-Watson process initiated by one individual and let N be the total progeny, i.e., As n → ∞ the limiting behaviour of the process {Zk, 0 ≦ kn} conditioned on the event {N =n} is studied. The results obtained are of exactly the same form for the subcritical, critical and supercritical cases. This is in marked contrast to the analogous situation got by conditioning on non-extinction by the nth generation and letting n → ∞. In the latter case the limiting results differ in form for the critical and non-critical cases.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1975 

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References

[1] Athreya, K. and Ney, P. (1972) Branching Processes. Springer-Verlag, New York.CrossRefGoogle Scholar
[2] Billingsley, P. (1968) Convergence of Probability Measures. Wiley, New York.Google Scholar
[3] Dwass, M. (1969) The total progeny in a branching process. J. Appl. Prob. 6, 682686.CrossRefGoogle Scholar
[4] Feller, W. (1966) An Introduction to Probability Theory and its Applications, Volume II. Wiley, New York.Google Scholar
[5] Ibragimov, I. and Linnik, Yu. (1971) Independent and Stationary Sequences of Random Variables. Wolters-Noordhoff, The Netherlands.Google Scholar
[6] Lamperti, J. and Ney, P. (1968) Conditioned branching processes and their limiting diffusions. Theor. Prob. Appl. 13, 126137.CrossRefGoogle Scholar
[7] Pakes, A. G. (1971) Some limit theorems for the total progeny of a branching process. Adv. Appl. Prob. 3, 176192.Google Scholar