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Convergence of Martingale and Moderate Deviations for a Branching Random Walk with a Random Environment in Time

  • Xiaoqiang Wang
  • , Chunmao Huang*
  • *Corresponding author for this work
  • Shandong University
  • Harbin Institute of Technology Weihai

Research output: Contribution to journalArticlepeer-review

Abstract

We consider a branching random walk on R with a stationary and ergodic environment ξ= (ξn) indexed by time n∈ N. Let Zn be the counting measure of particles of generation n and Z~ n(t) = ∫ e t xZn(d x) be its Laplace transform. We show the Lp convergence rate and the uniform convergence of the martingale Z~ n(t) / E[ Z~ n(t) | ξ] , and establish a moderate deviation principle for the measures Zn.

Original languageEnglish
Pages (from-to)961-995
Number of pages35
JournalJournal of Theoretical Probability
Volume30
Issue number3
DOIs
StatePublished - 1 Sep 2017
Externally publishedYes

Keywords

  • Branching random walk
  • Convergence rate
  • L convergence
  • Moderate deviation
  • Moment
  • Random environment
  • Uniform convergence

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