On the Maximal Displacement of Subcritical Branching Random Walks
Eyal Neuman, Xinghua Zheng

TL;DR
This paper investigates the asymptotic behavior of the maximal displacement in subcritical branching random walks, establishing exponential decay rates and phase transitions depending on the displacement speed.
Contribution
It introduces a detailed analysis of the tail probabilities of maximal displacement in subcritical branching random walks, including conditions for phase transitions and extensions to supercritical cases.
Findings
Existence of a critical speed where tail probabilities transition from bounded to decay to zero.
Tail distribution of the maximum displacement exhibits exponential decay with specific parameters.
Results extend to supercritical branching random walks conditioned on extinction.
Abstract
We study the maximal displacement of a one dimensional subcritical branching random walk initiated by a single particle at the origin. For each let be the rightmost position reached by the branching random walk up to generation . Under the assumption that the offspring distribution has a finite third moment and the jump distribution has mean zero and a finite probability generating function, we show that there exists such that the function \[ g(c,n):=\rho ^{cn} P(M_{n}\geq cn), \quad \mbox{for each }c>0 \mbox{ and } n\in\mathbb{N}, \] satisfies the following properties: there exist such that if , then while if , then \[ \lim_{n\rightarrow\infty} g (c,n)=0.…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Theoretical and Computational Physics
