Welcome to Journal of University of Chinese Academy of Sciences,Today is
Research Articles

Law of iterated logarithm of Galton-Watson processes in varying environment

  • NAN Xiaojie
Expand
  • School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2015-03-03

  Revised date: 2015-05-18

  Online published: 2016-03-15

Supported by

Supported by National Natural Science Foundation of China(11171342)

Abstract

By the Berry-Esseen lemma and an important extension of the conditional Borel-Cantelli lemma (Asmussen, Trans Am Math Soc,1977,231:233), we obtain the law of the iterated logarithm of the branching processes in varying environment under the condition that the second moment of the number of the offspring of each individual of each generation is uniformly upper/lower bounded. Further more, the condition is weaker than that of Gao(Gao, UCAS, Thesis 2011).

Cite this article

NAN Xiaojie . Law of iterated logarithm of Galton-Watson processes in varying environment[J]. Journal of University of Chinese Academy of Sciences, 2016 , 33(2) : 145 -149 . DOI: 10.7523/j.issn.2095-6134.2016.02.001

References

[1] Heyde C C. Some almost sure convergence theorems for branching processes[J]. Z Wahrscheinlichkeitstheorie verw Geb, 1971, 20: 189-192.
[2] Heyde C C, Leslie J R. Improved classical limit analogues for Galton-Watson processes with or without immigration[J]. Bull Austral Math Soc, 1971, 5: 145-155.
[3] Asmussen S. Almost sure behavior of linear functionals of supercritical branching processes[J]. Transactions of The American Mathematical Society, 1977, 231(1): 233-248.
[4] Huggins R M. Laws of the iterated logarithm for time changed brownian motion with an application to branching processes[J]. Ann Probability, 1985, 13(4): 1148-1156.
[5] Gao Z L. Limit theorems for Galton-Watson processes in random environments[D]. Beijing: Graduate University of Chinese Academy of Sciences, 2011(in Chinese).
[6] Fearn D H. Galton-Watson processes with generation dependence[J]. Proc Sixth Berkeley Symp Math Statist Probab, 1971, 2: 159-172.
[7] Durrett R. Probability:theory and examples[M]. 3rd ed. Beijing: World Book Inc, 2011.

Outlines

/