A limit theorem for sample maxima and heavy branches in Galton–Watson trees
- 1 June 1980
- journal article
- Published by Cambridge University Press (CUP) in Journal of Applied Probability
- Vol. 17 (2) , 539-545
- https://doi.org/10.2307/3213043
Abstract
Let Yn be the maximum of n independent positive random variables with common distribution function F and let Sn be their sum. Then converges to zero in probability if and only if is slowly varying. This result implies that in a supercritical Galton-Watson process which does not become extinct, there cannot be a sequence {τ n} of particles, each descended from the preceding one, such that the fraction of all particles which are descendants of τ n does not converge to zero as n →∞. Weakly m-adic trees, which behave to some extent like sample Galton-Watson trees, can have such sequences of particles.Keywords
This publication has 6 references indexed in Scilit:
- Probability TheoryPublished by Springer Nature ,1978
- Regularly varying functions in the theory of simple branching processesAdvances in Applied Probability, 1974
- Random variables, trees, and branching random walksAdvances in Mathematics, 1973
- Branching ProcessesPublished by Springer Nature ,1972
- 5716The American Mathematical Monthly, 1971
- The influence of the maximum term in the addition of independent random variablesTransactions of the American Mathematical Society, 1952