Left Tail of the Subcritical Derivative Martingale in a Branching Wiener Process
Xinxin Chen, Yichao Huang, Heng Ma

TL;DR
This paper provides precise two-sided estimates for the tail probability of the derivative martingale limit in a branching Wiener process, confirming a recent conjecture for log-correlated Gaussian fields on trees.
Contribution
It establishes sharp tail estimates for the derivative martingale in a branching Wiener process, extending results to the entire subcritical regime and confirming a conjecture for log-correlated Gaussian fields.
Findings
Sharp two-sided tail estimates derived
Confirmation of conjecture for log-correlated Gaussian fields
Results applicable throughout the subcritical regime
Abstract
We establish a rather sharp two-side estimate for the tail probability of the derivative martingale limit in a branching random walk throughout the entire subcritical regime, confirming a conjecture by Lacoin, Rhodes, and Vargas (\emph{Duke Math. J.} 171(3):483--545, 2022.) for the special case of log-correlated Gaussian fields on trees.
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Spectral Theory in Mathematical Physics
