On Partition Functions for Time-Inhomogeneous Branching Random Walks

TL;DR

This paper investigates phase transitions and universality in partition functions of time-inhomogeneous branching random walks, extending Gaussian multiplicative chaos frameworks to discrete models and revealing new technical approaches.

Contribution

It adapts GMC techniques to discrete BRWs, proving critical value equivalence and convergence results, and explores universality at criticality for these models.

Findings

Critical value of time inhomogeneous BRWs matches that of homogeneous ones.

Partition functions converge in L1 in the subcritical regime.

Universality at the critical parameter shows the same decay rate.

Abstract

We establish the phase transition and universality for the partition function of time inhomogeneous branching random walks (BRWs) with decreasing variance increment,a model related to two dimensional directed polymers. By modifying Berestycki's GMC framework (removing martingale property dependency) and adapting it to discrete BRWs, we prove that the critical value of time inhomogeneous BRWs coincides with that of time homogeneous ones, and the partition functions converge in L1 in the subcritical regime. We also extend the universality at the critical parameter, showing the same decay rate of partition functions. Our approach reveals the potential for such framework in GMC, which provides a new technical path for martingale free processes and random fields beyond log correlated. Finally, we raise some open problems related to GMC beyond log correlations, branching Brownian motions and directed polymers.