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On Fibonacci (or lagged Bienaymé-Galton-Watson) branching processes

Published online by Cambridge University Press:  14 July 2016

C. C. Heyde
C. C. Heyde*
Affiliation:
CSIRO Division of Mathematics and Statistics, Canberra
*
∗Postal address: CSIRO Division of Mathematics and Statistics, P.O. Box 1965 Canberra City, ACT 2601, Australia.
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Abstract

This paper is concerned with a discrete-time population model in which a new individual entering the population at time t can produce offspring for the first time at time t + 2 and then subsequently at times t + 3, t + 4, ···. The numbers of offspring produced on each occasion are independent random variables each with the distribution of Z for which EZ = m <∞, and individuals have independent lines of descent. This model is contrasted with the corresponding Bienaymé-Galton-Watson one. If Xn denotes the number of individuals in the population at time n, it is shown that z–nXn almost surely converges to a random variable W, as n→∞, where Various properties of W are obtained, in particular W > 0 a.s. if and only if EZ | log Z | < ∞ Results are also given on the rate of convergence of to z when Var Z < ∞ and these display a surprising dependence on the size of z.

Keywords

BRANCHING PROCESSESPOPULATION PROCESSESGALTON-WATSON PROCESSESGROWTH RATESESTIMATIONFIBONACCI NUMBERS
Type
Research Papers
Information
Journal of Applied Probability , Volume 18 , Issue 3 , September 1981 , pp. 583 - 591
Copyright
Copyright © Applied Probability Trust 

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References

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