Open Access
2023 Invariance principle for the maximal position process of branching Brownian motion in random environment
Haojie Hou, Yan-Xia Ren, Renming Song
Author Affiliations +
Electron. J. Probab. 28: 1-63 (2023). DOI: 10.1214/23-EJP956

Abstract

In this paper we study the maximal position process of branching Brownian motion in random spatial environment. The random environment is given by a process ξ=ξ(x)xR satisfying certain conditions. We show that the maximum position Mt of particles alive at time t satisfies a quenched strong law of large numbers and an annealed invariance principle.

Funding Statement

The research of this project is supported by the National Key R&D Program of China (No. 2020YFA0712900). Yan-Xia Ren’s research is partially supported by NSFC (Grant Nos. 11731009, 12071011 and 12231002) and LMEQF. Renming Song’s research is partially supported by the Simons Foundation (#960480, Renming Song).

Acknowledgments

We thank the referee for helpful comments and suggestions on the first version of this paper. Part of the research for this paper was done while the third-named author was visiting Jiangsu Normal University, where he was partially supported by a grant from the National Natural Science Foundation of China (11931004, Yingchao Xie) and by the Priority Academic Program Development of Jiangsu Higher Education Institutions.

Citation

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Haojie Hou. Yan-Xia Ren. Renming Song. "Invariance principle for the maximal position process of branching Brownian motion in random environment." Electron. J. Probab. 28 1 - 63, 2023. https://doi.org/10.1214/23-EJP956

Information

Received: 17 June 2022; Accepted: 3 May 2023; Published: 2023
First available in Project Euclid: 8 May 2023

MathSciNet: MR4585411
zbMATH: 1520.60053
Digital Object Identifier: 10.1214/23-EJP956

Subjects:
Primary: 60G70 , 60J80
Secondary: 82B44

Keywords: Branching Brownian motion , invariance principle , Law of Large Numbers , random environment

Vol.28 • 2023
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