The extremal position of a branching random walk on the general linear group
Ion Grama, Sebastian Mentemeier, Hui Xiao

TL;DR
This paper studies the extremal behavior of a branching random walk on the general linear group, establishing almost sure limits and convergence rates for maximal and minimal positions, with implications for spectral properties.
Contribution
It introduces new results on the asymptotic behavior and convergence rates of extremal positions in a branching random walk on ext{GL}(V), including boundary condition effects.
Findings
Almost sure convergence of normalized maximal position to a constant
Logarithmic convergence rate of maximal position to /2 in probability when =0
Asymptotic speeds for spectral radius and operator norm of the group elements
Abstract
Consider a branching random walk on the general linear group of a finite dimensional space , where is the associated genealogical tree with nodes . For any starting point with and , let denote the maximal position of the walk in the generation . We first show that under suitable conditions, almost surely, where is a constant. Then, in the case when , under appropriate {\textit boundary conditions}, we refine the last statement by determining the rate of convergence at which converges to . We prove in particular that in probability, where…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Mathematical Dynamics and Fractals
