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JOURNALS // Trudy Matematicheskogo Instituta imeni V.A. Steklova // Archive

Trudy Mat. Inst. Steklova, 2022 Volume 316, Pages 195–206 (Mi tm4245)

Conditional $L^1$-Convergence for the Martingale of a Critical Branching Process in Random Environment

Wenming Honga, Shengli Lianga, Xiaoyue Zhangb

a School of Mathematical Sciences & Laboratory of Mathematics and Complex Systems, Beijing Normal University, Beijing, 100875, China
b School of Statistics, Capital University of Economics and Business, Beijing, 100070, China

Abstract: For a critical branching process $(Z_n)$ in a random environment $(\xi _n)$, a sufficient condition is given for the corresponding martingale ${Z_n}/{e^{S_n}}$ to converge in $L^1$ or to degenerate under $\mathbb P^+$, the probability under which the associated random walk is conditioned to stay nonnegative.

Keywords: branching process, random environment, multitype branching processes, change of measure, martingale convergence.

UDC: 519.218.2

Received: April 16, 2021
Revised: June 16, 2021
Accepted: November 3, 2021

DOI: 10.4213/tm4245


 English version:
Proceedings of the Steklov Institute of Mathematics, 2022, 316, 184–194

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© Steklov Math. Inst. of RAS, 2024