Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant 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 91 tok/s
Gemini 2.5 Pro 52 tok/s Pro
GPT-5 Medium 21 tok/s Pro
GPT-5 High 17 tok/s Pro
GPT-4o 103 tok/s Pro
Kimi K2 236 tok/s Pro
GPT OSS 120B 465 tok/s Pro
Claude Sonnet 4 38 tok/s Pro
2000 character limit reached

Connecting Eigenvalue Rigidity with Polymer Geometry: Diffusive Transversal Fluctuations under Large Deviation (1902.09510v1)

Published 25 Feb 2019 in math.PR, math-ph, and math.MP

Abstract: We consider the exactly solvable model of exponential directed last passage percolation on $\mathbb{Z}2$ in the large deviation regime. Conditional on the upper tail large deviation event $\mathcal{U}{\delta}:={T{n}\geq (4+\delta)n}$ where $T_{n}$ denotes the last passage time from $(1,1)$ to $(n,n)$, we study the geometry of the polymer/geodesic $\Gamma_{n}$, i.e., the optimal path attaining $T_{n}$. We show that conditioning on $\mathcal{U}{\delta}$ changes the transversal fluctuation exponent from the characteristic $2/3$ of the KPZ universality class to $1/2$, i.e., conditionally, the smallest strip around the diagonal that contains $\Gamma{n}$ has width $n{1/2+o(1)}$ with high probability. This sharpens a result of Deuschel and Zeitouni (1999) who proved a $o(n)$ bound on the transversal fluctuation in the context of Poissonian last passage percolation, and complements (Basu, Ganguly, Sly, 2017), where the transversal fluctuation was shown to be $\Theta(n)$ in the lower tail large deviation event. Our proof exploits the correspondence between last passage times in the exponential LPP model and the largest eigenvalue of the Laguerre Unitary Ensemble (LUE) together with the determinantal structure of the spectrum of the latter. A key ingredient in our proof is a sharp refinement of the large deviation result for the largest eigenvalue (Sepp\"al\"ainen '98, Johansson '99), using rigidity properties of the spectrum, which could be of independent interest.

Summary

We haven't generated a summary 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.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

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

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube