
pmid: 1640178
We prove that a result of Haldane (1927) that relates the asymptotic behaviour of the extinction probability of a slightly supercritical Poisson branching process to the mean number of offspring is true for a general Bienaymé-Galton-Watson branching process, provided that the second derivatives of the probability-generating functions converge uniformly to a non-zero limit. We show also by examples that such a result is true more widely than our proof suggests and exhibit some counter-examples.
second factorial moment, supercritical Bienaymé-Galton-Watson branching processes, Gene Frequency, Poisson-distributed offspring distribution, Applications of branching processes, Branching processes (Galton-Watson, birth-and-death, etc.), mutant gene, Probability, selection advantage, Models, Genetic, Taylor expansion, probability generating functions, nonlinear behavior, asymptotic expansions, branching process, Population dynamics (general), Genes, extinction probability, remainder term, Mutation, Genetics and epigenetics, Mathematics
second factorial moment, supercritical Bienaymé-Galton-Watson branching processes, Gene Frequency, Poisson-distributed offspring distribution, Applications of branching processes, Branching processes (Galton-Watson, birth-and-death, etc.), mutant gene, Probability, selection advantage, Models, Genetic, Taylor expansion, probability generating functions, nonlinear behavior, asymptotic expansions, branching process, Population dynamics (general), Genes, extinction probability, remainder term, Mutation, Genetics and epigenetics, Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
