On the boundary at infinity for branching random walk
Elisabetta Candellero, Tom Hutchcroft

TL;DR
This paper proves that supercritical branching random walk on a transient graph converges to a random measure on the Martin boundary, providing new insights into its asymptotic behavior and posing open problems.
Contribution
It establishes almost sure convergence of the branching random walk to a measure on the Martin boundary, a novel result in this context.
Findings
Convergence of branching random walk to a measure on the Martin boundary
Identification of properties of the limiting measure
Presentation of open problems and conjectures
Abstract
We prove that supercritical branching random walk on a transient graph converges almost surely under rescaling to a random measure on the Martin boundary of the graph. Several open problems and conjectures about this limiting measure are presented.
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 · Geometry and complex manifolds
