Abstract
Let W be the limit of the normalized population size of a supercritical branching process in a varying or random environment. By an elementary method, we find sufficient conditions under which W has finite weighted moments of the form EW p l(W), where p > 1, l ⩾ 0 is a concave or slowly varying function.
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References
Asmussen S, Hering H. Branching Processes. Basel: Birkhauser, 1983
Athreya K B, Ney P E. Branching Processes. Berlin-New York: Springer-Verlag, 1972
Athreya K B. A note on a functional equation arising in Galton-Watson branching processes. J Appl Probab, 1971, 8: 589–598
Bingham N H, Doney R A. Asymptotic properties of supercritical branching processes. Appl Probab Index, 1974, 6: 711–731
Guivarc’h Y, Le Page E, Liu Q. Propriétés asymptotiques des processus de branchement en environnement aléatoire. C R Acad Sci Paris Sér I Math, 2001, 332: 339–344
Hawkes J. Trees generated by a simple branching process. J London Math Soc, 1981, 24: 373–384
Jagers P. Galton-Watson processes in varying environments. J Appl Probab, 1974, 11: 174–178
Liang X G, Liu Q. Weighted moments for branching processes in random environments. Preprint, University of Bretagne-sud, 2010
Li Y Q, Liu Q. Age-dependent Branching processes in random environments. Sci China Ser A, 2008, 51: 1807–1830
Liu Q. On the integrability of the limit of a supercritical branching process. Publ Inst Rech Math Rennes, Facicule de Probabilités, 1995, 26–30
Liu Q. The exact Hausdorff dimension of a branching set. Probab Theory Related Fields, 1996, 104: 515–538
Liu Q. Local dimensions of the branching measure on a Galton-Watson tree. Ann Inst H Poincaré Probab Statist, 2001, 37: 195–222
Wen Z Y. Des etudes de certains processus de naissance. Publication Mathématique d’Orsay, 1986, 86-03
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Li, Y., Hu, Y. & Liu, Q. Weighted moments for a supercritical branching process in a varying or random environment. Sci. China Math. 54, 1437–1444 (2011). https://doi.org/10.1007/s11425-011-4220-y
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DOI: https://doi.org/10.1007/s11425-011-4220-y