Journal of Siberian Federal University. Mathematics & Physics / On Estimation of the Convergence Rate to Invariant Measures in Markov Branching Processes with Possibly Infinite Variance and Allowing Immigration

Full text (.pdf)
Issue
Journal of Siberian Federal University. Mathematics & Physics. 2021 14 (5)
Authors
Imomov, Azam A.
Contact information
Imomov, Azam A.: Karshi State University Karshi city, Uzbekistan; https://orcid.org/ 0000-0003-1082-0144
Keywords
Markov branching process; generating functions; immigration; transition functions; slowly varying function; invariant measures; convergence rate
Abstract

The paper discusses the continuous-time Markov Branching Process allowing Immigration. We are considering a critical case for which the second moment of offspring law and the first moment of immigration law are possibly infinite. Assuming that the nonlinear parts of the appropriate generating functions are regularly varying in the sense of Karamata, we prove theorems on convergence of transition functions of the process to invariant measures. We deduce the speed rate of these convergence providing that slowly varying factors are with remainder

Pages
573–583
DOI
10.17516/1997-1397-2021-14-5-573-583
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/143731