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JOURNALS // Sibirskie Èlektronnye Matematicheskie Izvestiya [Siberian Electronic Mathematical Reports] // Archive

Sib. Èlektron. Mat. Izv., 2023 Volume 20, Issue 2, Pages 755–772 (Mi semr1607)

Probability theory and mathematical statistics

On functional limit theorems for branching processes with dependent immigration

S. O. Sharipov

V.I. Romanovskiy Institute of Mathematics, 4b, University street, 100174, Tashkent, Uzbekistan

Abstract: In this paper we consider a triangular array of branching processes with non-stationary immigration. We prove a weak convergence of properly normalized branching processes with immigration to deter-ministic function under assumptions that immigration satisfies some mixing conditions, the offspring mean tends to its critical value 1 and immigration mean and variance controlled by regularly varying functions. Moreover, we obtain a fluctuation limit theorem for branching process with immig-ration when immigration generated by a sequence of $m$-dependent random variables. In this case the limiting process is a time-changed Wiener process. Our results extend the previous known results in the literature.

Keywords: Branching process, immigration, regularly varying functions, $m$-dependence, $\rho$-mixing, functional limit theorems.

UDC: ???.?

MSC: ??X??

Received November 28, 2022, published October 20, 2023

Language: English

DOI: 10.33048/semi.2023.20.044



© Steklov Math. Inst. of RAS, 2025