Minimum and extremal process for a branching random walk outside the boundary case
Xinxin Chen, Haojie Hou
TL;DR
This work analyzes the minimum and extremal process for a supercritical branching random walk outside the boundary case, where the spine displacements have a stretched-exponential left tail with exponent $b\in(0,1/2)$. By leveraging spine decomposition and a refined near-time large-jump mechanism, the authors prove weak convergence for the minimum and for the extremal process when centered by $\alpha_n=\lambda(mn)^b-a\log n$, and they establish an almost-sure infimum over infinite rays governed by a deterministic constant $a_*\in(0,\infty)$. The limiting objects are decorated Poisson-type processes driven by the almost-sure limit $W_\infty$ of the additive martingale, with an explicit limiting intensity and decorations derived from independent BRWs. The results confirm Barral–Hu–Madaule’s conjecture in the stretched-exponential regime with $b\in(0,1/2)$ and illuminate how non-boundary BRWs exhibit distinct extremal behavior from boundary cases, with potential implications for extreme-value theory in branching structures.
Abstract
This work extends the studies on the minimum and extremal process of a supercritical branching random walk outside the boundary case which cannot be reduced to the boundary case. We study here the situation where the log-generating function explodes at $1$ and the random walk associated to the spine possesses a stretched exponential tail with exponent $b\in(0,\frac12)$. Under suitable conditions, we confirm the conjecture of Barral, Hu and Madaule [Bernoulli 24(2) 2018 801-841], and obtain the weak convergence for the minimum and the extremal process. We also establish an a.s. infimum result over all infinity rays of this system.
