{"title":"A variational formula for large deviations in first-passage percolation under tail estimates","authors":"Clément Cosco, S. Nakajima","doi":"10.1214/22-aap1861","DOIUrl":null,"url":null,"abstract":"Consider first passage percolation with identical and independent weight distributions and first passage time ${\\rm T}$. In this paper, we study the upper tail large deviations $\\mathbb{P}({\\rm T}(0,nx)>n(\\mu+\\xi))$, for $\\xi>0$ and $x\\neq 0$ with a time constant $\\mu$ and a dimension $d$, for weights that satisfy a tail assumption $ \\beta_1\\exp{(-\\alpha t^r)}\\leq \\mathbb P(\\tau_e>t)\\leq \\beta_2\\exp{(-\\alpha t^r)}.$ When $r\\leq 1$ (this includes the well-known Eden growth model), we show that the upper tail large deviation decays as $\\exp{(-(2d\\xi +o(1))n)}$. When $1<r\\leq d$, we find that the rate function can be naturally described by a variational formula, called the discrete p-Capacity, and we study its asymptotics. For $r<d$, we show that the large deviation event ${\\rm T}(0,nx)>n(\\mu+\\xi)$ is described by a localization of high weights around the origin. The picture changes for $r\\geq d$ where the configuration is not anymore localized.","PeriodicalId":50979,"journal":{"name":"Annals of Applied Probability","volume":" ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2021-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Applied Probability","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1214/22-aap1861","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 4
Abstract
Consider first passage percolation with identical and independent weight distributions and first passage time ${\rm T}$. In this paper, we study the upper tail large deviations $\mathbb{P}({\rm T}(0,nx)>n(\mu+\xi))$, for $\xi>0$ and $x\neq 0$ with a time constant $\mu$ and a dimension $d$, for weights that satisfy a tail assumption $ \beta_1\exp{(-\alpha t^r)}\leq \mathbb P(\tau_e>t)\leq \beta_2\exp{(-\alpha t^r)}.$ When $r\leq 1$ (this includes the well-known Eden growth model), we show that the upper tail large deviation decays as $\exp{(-(2d\xi +o(1))n)}$. When $1n(\mu+\xi)$ is described by a localization of high weights around the origin. The picture changes for $r\geq d$ where the configuration is not anymore localized.
期刊介绍:
The Annals of Applied Probability aims to publish research of the highest quality reflecting the varied facets of contemporary Applied Probability. Primary emphasis is placed on importance and originality.