Limiting one-point fluctuations of the geodesic in the directed landscape near the endpoints when the geodesic length goes to infinity

Limiting one-point fluctuations of the geodesic in the directed landscape near the endpoints when the geodesic length goes to infinity
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We consider the limiting fluctuations of the geodesic in the directed landscape, conditioning on its length going to infinity. It was shown in \cite{Liu22b,Ganguly-Hegde-Zhang23} that when the directed landscape $\mathcal{L}(0,0;0,1) = L$ becomes large, the geodesic from $(0,0)$ to $(0,1)$ lies in a strip of size $O(L^{-1/4})$ and behaves like a Brownian bridge if we zoom in the strip by a factor of $L^{1/4}$. Moreover, the length along the geodesic with respect to the directed landscape fluctuates of order $O(L^{1/4})$ and its limiting one-point distribution is Gaussian \cite{Liu22b}. In this paper, we further zoom in a smaller neighborhood of the endpoints when $\mathcal{L}(0,0;0,1) = L$ or $\mathcal{L}(0,0;0,1) \ge L$, and show that there is a critical scaling window $L^{-3/2}:L^{-1}:L^{-1/2}$ for the time, geodesic location, and geodesic length, respectively. Within this scaling window, we find a nontrivial limit of the one-point joint distribution of the geodesic location and length as $L\to\infty$. This limiting distribution, if we tune the time parameter to infinity, converges to the joint distribution of two independent Gaussian random variables, which is consistent with the results in \cite{Liu22b}. We also find a surprising connection between this limiting distribution and the one-point distribution of the upper tail field of the KPZ fixed point recently obtained in \cite{Liu-Zhang25}.


💡 Research Summary

The paper investigates the fine‑scale fluctuations of the geodesic in the directed landscape under the “upper‑tail” conditioning that the passage time $\mathcal L(0,0;0,1)$, denoted $L$, tends to infinity. Earlier works (Liu 2022b, Ganguly‑Hegde‑Zhang 2023) showed that for a fixed macroscopic time $t\in(0,1)$ the geodesic $\pi(t)$ stays inside a strip of width $O(L^{-1/4})$ and, after scaling space by $L^{1/4}$, converges to a standard Brownian bridge. Moreover, the length of the geodesic segment $L(t)$ fluctuates on the $O(L^{1/4})$ scale and its one‑point distribution is Gaussian.

The present work zooms in much closer to the endpoints. The authors identify a critical scaling window \


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