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In this note, we study the model of directed last passage percolation on $\mathbb{Z}^2$, with i.i.d. exponential weight. We consider the maximum paths from vertices $\left(0,\lfloor k^{2/3} \rfloor\right)$ and $(\lfloor k^{2/3} \rfloor,0)$…

Probability · Mathematics 2021-03-31 Lingfu Zhang

Following the recent investigations of Baik and Suidan in \cite{baik2005gcl} and Bodineau and Martin in \cite{bodineau2005upl}, we prove large deviation properties for a last-passage percolation model in $\mathbb{Z}^{2}_{+}$ whose paths are…

Probability · Mathematics 2015-03-13 Jean-Paul Ibrahim

In first-passage percolation, one places nonnegative i.i.d. random variables (T (e)) on the edges of Z d. A geodesic is an optimal path for the passage times T (e). Consider a local property of the time environment. We call it a pattern. We…

Probability · Mathematics 2023-03-09 Antonin Jacquet

We consider the geodesic of the directed last passage percolation with iid exponential weights. We find the explicit one-point distribution of the geodesic location joint with the last passage times, and its limit as the parameters go to…

Probability · Mathematics 2025-09-03 Zhipeng Liu

Consider first passage percolation on $\mathbb{Z}^d$ with passage times given by i.i.d. random variables with common distribution $F$. Let $t_\pi(u,v)$ be the time from $u$ to $v$ for a path $\pi$ and $t(u,v)$ the minimal time among all…

Probability · Mathematics 2013-12-30 Enrique D. Andjel , Maria Eulalia Vares

We analyze the geometrical structure of the passage times in the last passage percolation model. Viewing the passage time as a piecewise linear function of the weights we determine the domains of the various pieces, which are the subsets of…

Probability · Mathematics 2019-07-02 Tom Alberts , Eric Cator

We study directed last-passage percolation on the planar square lattice whose weights have general distributions, or equivalently, queues in series with general service distributions. Each row of the last passage model has its own randomly…

Probability · Mathematics 2011-08-30 Hao Lin

In this paper we will prove a shape theorem for the last passage percolation model on a two dimensional $F$-compound Poisson process, called the Hammersley model with random weights. We will also provide diffusive upper bounds for shape…

Probability · Mathematics 2011-08-29 E. A. Cator , L. P. R. Pimentel

We prove non-universality results for first-passage percolation on the configuration model with i.i.d. degrees having infinite variance. We focus on the weight of the optimal path between two uniform vertices. Depending on the properties of…

Probability · Mathematics 2015-06-04 Enrico Baroni , Remco van der Hofstad , Julia Komjathy

For exponential last passage percolation on the plane we analyse the probability that the point-to-line geodesic exhibits an atypically large transversal fluctuation at the endpoint as well as the probability that the point-to-point…

Probability · Mathematics 2025-02-11 Pranay Agarwal , Riddhipratim Basu

We consider first-passage percolation with positive, stationary-ergodic weights on the square lattice $\mathbb{Z}^d$. Let $T(x)$ be the first-passage time from the origin to a point $x$ in $\mathbb{Z}^d$. The convergence of the scaled…

Probability · Mathematics 2016-10-25 Arjun Krishnan

We study geodesics in the Brochette first-passage percolation model, where edges on the same axis-parallel line share a common random passage time, inducing long-range dependence. We focus on the maximal transversal deviation H n of…

Probability · Mathematics 2026-05-25 Maxime Marivain

The directed landscape constructed in (Dauvergne-Ortmann-Virag '18) produces a directed, planar, random geometry, and is believed to be the universal scaling limit of two-dimensional first and last passage percolation models in the…

Probability · Mathematics 2022-12-20 Shirshendu Ganguly , Lingfu Zhang

We study first-passage percolation through related optimization problems over paths of restricted length. The path length variable is in duality with a shift of the weights. This puts into a convex duality framework old observations about…

Probability · Mathematics 2023-02-21 Arjun Krishnan , Firas Rassoul-Agha , Timo Seppäläinen

In last passage percolation models lying in the KPZ universality class, the energy of long energy-maximizing paths may be studied as a function of the paths' pair of endpoint locations. Scaled coordinates may be introduced, so that these…

Probability · Mathematics 2019-07-12 Alan Hammond

The conjectured limit of last passage percolation is a scale-invariant, independent, stationary increment process with respect to metric composition. We prove this for Brownian last passage percolation. We construct the Airy sheet and…

Probability · Mathematics 2024-04-24 Duncan Dauvergne , Janosch Ortmann , Balint Virag

In this note we provide a short proof of the distributional equality between last passage percolation with geometric weights along a general down-right path and Schur processes. We do this in both the full-space and half-space settings, and…

Probability · Mathematics 2025-10-07 Evgeni Dimitrov , Zongrui Yang

In 1999, Zhang proved that, for first passage percolation on the square lattice $\mathbb{Z}^2$ with i.i.d. non-negative edge weights, if the probability that the passage time distribution of an edge $P(t_e = 0) =1/2 $, the critical value…

Probability · Mathematics 2024-12-05 Shankar Bhamidi , Rick Durrett , Xiangying Huang

In the classic model of first passage percolation, for pairs of vertices separated by a Euclidean distance $L$, geodesics exhibit deviations from their mean length $L$ that are of order $L^\chi$, while the transversal fluctuations, known as…

Statistical Mechanics · Physics 2019-11-14 Alexander P. Kartun-Giles , Marc Barthelemy , Carl P. Dettmann

We study directed last passage percolation on the first quadrant of the planar square lattice whose weights have general distributions, or equivalently, ./G/1 queues in series. The service time distributions of the servers vary randomly…

Probability · Mathematics 2011-10-04 Hao Lin , Timo Seppäläinen