Random walks in Weyl chambers
Denis Denisov, Will FitzGerald, Kaiyuan Zhang
TL;DR
The paper advances the theory of random walks in Weyl chambers of type $C$ and $D$ by establishing the existence of positive harmonic functions for walks killed on exit and deriving sharp tail asymptotics for exit times under near-optimal moment conditions, without relying on symmetry. The core approach blends diffusion-approximation error analysis with Green-function bounds, leveraging polynomial harmonic functions $h$ and Doob $h$-transforms to describe the conditioned process. A key contribution is showing that, for a homogeneous polynomial harmonic $h$ of degree $p$, the exit-time tail satisfies $ ext{P}( au_x>n)\sim olinebreak rac{ ext{const} imes V(x)}{n^{p/2}}$ and that the conditioned position converges to a Gaussian density weighted by $h$, yielding a polynomially tempered universality in these structured cones. The results extend existing Weyl-chamber analyses to the C and D types under weaker symmetry and optimal moment assumptions, with potential implications for related stochastic models and universality phenomena in growing systems and random matrices.
Abstract
We study a $d$-dimensional random walk with zero mean and finite variance in the Weyl chambers of type C and D. Under optimal moment assumptions we construct positive harmonic functions for random walks killed on exiting Weyl chambers. We also find the tail asymptotics for the exit time of the random walk from Weyl chambers.
