Asymptotic Expansions for Additive Measures of Branching Brownian Motions

Haojie Hou, Yan Xia Ren, Renming Song

Research output: Contribution to journalArticlepeer-review

Abstract

Let N(t) be the collection of particles alive at time t in a branching Brownian motion in Rd, and for u∈N(t), let Xu(t) be the position of particle u at time t. For θ∈Rd, we define the additive measures of the branching Brownian motion by (Formula presented.) In this paper, under some conditions on the offspring distribution, we give asymptotic expansions of arbitrary order for μtθ((a,b]) and μtθ((-∞,a]) for θ∈Rd with ‖θ‖<2, where (a,b]:=(a1,b1]×⋯×(ad,bd] and (-∞,a]:=(-∞,a1]×⋯×(-∞,ad] for a=(a1,⋯,ad) and b=(b1,⋯,bd). These expansions sharpen the asymptotic results of Asmussen and Kaplan (Stoch Process Appl 4(1):1–13, 1976) and Kang (J Korean Math Soc 36(1): 139–157, 1999) and are analogs of the expansions in Gao and Liu (Sci China Math 64(12):2759–2774, 2021) and Révész et al. (J Appl Probab 42(4):1081–1094, 2005) for branching Wiener processes (a particular class of branching random walks) corresponding to θ=0.

Original languageEnglish (US)
Pages (from-to)3355-3394
Number of pages40
JournalJournal of Theoretical Probability
Volume37
Issue number4
DOIs
StatePublished - Nov 2024

Keywords

  • Asymptotic expansion
  • Branching Brownian motion
  • Martingale approximation
  • Spine decomposition

ASJC Scopus subject areas

  • Statistics and Probability
  • General Mathematics
  • Statistics, Probability and Uncertainty

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