Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 126 tok/s
Gemini 2.5 Pro 45 tok/s Pro
GPT-5 Medium 29 tok/s Pro
GPT-5 High 32 tok/s Pro
GPT-4o 127 tok/s Pro
Kimi K2 183 tok/s Pro
GPT OSS 120B 425 tok/s Pro
Claude Sonnet 4.5 38 tok/s Pro
2000 character limit reached

Radon-Nikodym derivative of inhomogeneous Brownian last passage percolation (2509.19414v1)

Published 23 Sep 2025 in math.PR

Abstract: We show that the Radon-Nikodym derivative of the law of the spatial increments (with endpoints away from the origin) of inhomogeneous Brownian last passage percolation (LPP) with non-decreasing initial data against the Wiener measure $\mu$ on compacts is in $L{\infty-}(\mu)$; and for any fixed $p>1$, the $Lp$ norm is at most of the order $O_p(\mathrm{e}{d_pm2\log m})$ for some $p$-dependent constant $d_p>0$. Furthermore, when the initial data is homogeneous, we establish optimal growth on $Lp$ norms ($\asymp O(\exp(dm2))$) of the Radon-Nikodym derivative of the Brownian LPP (i.e. top line of an $m$-level Dyson Brownian motion) away from the origin, as the number of curves $m$ tends to infinity, for all $p>1$ sufficiently large. As an application of our framework, we show that the Radon-Nikodym derivative of certain toy models for the KPZ fixed point lies in $L{\infty-}(\mu)$, inspired by its variational characterisation in terms of the directed landscape.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.