Coalescence in the recent past in rapidly growing populations
Coalescence in the recent past in rapidly growing populations
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DOI:
10.1016/j.spa.2012.06.015
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发表时间:
2012-11-01
影响因子:
1.4
通讯作者:
Athreya, K. B.
中科院分区:
文献类型:
--
作者:
Athreya, K. B.
In a rapidly growing population one expects that two individuals chosen at random from the nth generation are unlikely to be closely related if n is large. In this paper it is shown that for a broad class of rapidly growing populations this is not the case. For a Galton Watson branching process with an offspring distribution {p(j)} such that p(0) = 0 and psi(x) = Sigma(j) p(j) I-{j >= x} is asymptotic to x(-alpha) L(x) as x -> infinity where L(.) is slowly varying at infinity and 0 < alpha < 1 (and hence the mean m = Sigma jp(j) = infinity) it is shown that if X-n is the generation number of the coalescence of the lines of descent backwards in time of two randomly chosen individuals from the nth generation then n - X-n converges in distribution to a proper distribution supported by N = {1, 2, 3, ...}. That is, in such a rapidly growing population coalescence occurs in the recent past rather than the remote past. We do show that if the offspring mean m satisfies 1 < m equivalent to Sigma jp(j) < infinity and p(0) = 0 then coalescence time X-n does converge to a proper distribution as n -> infinity, i.e., coalescence does take place in the remote past. (C) 2012 Elsevier B.V. All rights reserved.