English
Related papers

Related papers: Limit shape formulas for a generalized Sepp\"al\"a…

200 papers

The theorem of Dekking and Host regarding tightness around the mean of first passage percolation on the binary tree, from the root to a boundary of a ball, is generalized to a class of graphs which includes all lattices in hyperbolic spaces…

Probability · Mathematics 2010-11-15 Itai Benjamini , Ofer Zeitouni

For rotationally invariant first passage percolation (FPP) on the plane, we use a multi-scale argument to prove stretched exponential concentration of the first passage times at the scale of the standard deviation. Our results are proved…

Probability · Mathematics 2023-12-22 Riddhipratim Basu , Vladas Sidoravicius , Allan Sly

We consider finite Bernoulli convolutions with a parameter $1/2 < r < 1$ supported on a discrete point set, generically of size $2^N$. These sequences are uniformly distributed with respect to the infinite Bernoulli convolution measure…

Number Theory · Mathematics 2011-07-20 Itai Benjamini , Boris Solomyak

Let $0<a<b<\infty$, and for each edge $e$ of $Z^d$ let $\omega_e=a$ or $\omega_e=b$, each with probability 1/2, independently. This induces a random metric $\dist_\omega$ on the vertices of $Z^d$, called first passage percolation. We prove…

Probability · Mathematics 2008-11-26 Itai Benjamini , Gil Kalai , Oded Schramm

We consider a model of first passage percolation (FPP) where the nearest-neighbor edges of the standard two-dimensional Euclidean lattice are equipped with random variables. These variables are i.i.d.\, nonnegative, continuous, and have a…

Probability · Mathematics 2021-05-06 Ujan Gangopadhyay

Recently, many results have been established drawing a parallel between Bernoulli percolation and models given by levels of smooth Gaussian fields with unbounded, strongly decaying correlation. In a previous work with D. Gayet , we started…

Probability · Mathematics 2022-04-12 Vivek Dewan

The Newman-Watts model is given by taking a cycle graph of n vertices and then adding each possible edge $(i,j), |i-j|\neq 1 \mod n$ with probability $\rho/n$ for some $\rho>0$ constant. In this paper we add i.i.d. exponential edge weights…

Probability · Mathematics 2016-09-26 Julia Komjathy , Viktoria Vadon

There are various models of first passage percolation (FPP) in $\mathbb R^d$. We want to start a very general study of this topic. To this end we generalize the first passage percolation model on the lattice $\mathbb Z^d$ to $\mathbb R^d$…

Probability · Mathematics 2016-11-08 Sebastian Ziesche

We study large random partitions boxed into a rectangle and coming from skew Howe duality, or alternatively from dual Schur measures. As the sides of the rectangle go to infinity, we obtain: 1) limit shape results for the profiles…

Probability · Mathematics 2022-11-28 Dan Betea , Anton Nazarov , Travis Scrimshaw

We consider the Bernoulli first-passage percolation on $\mathbb Z^d (d\ge 2)$. That is, the edge passage time is taken independently to be 1 with probability $1-p$ and 0 otherwise. Let ${\mu(p)}$ be the time constant. We prove in this paper…

Probability · Mathematics 2008-07-13 Xian-Yuan Wu , Ping Feng

We consider first passage percolation on the Erd\H{o}s--R\'{e}nyi graph with $n$ vertices in which each pair of distinct vertices is connected independently by an edge with probability $\lambda/n$ for some $\lambda>1$. The edges of the…

Probability · Mathematics 2025-11-27 Fraser Daly , Matthias Schulte , Seva Shneer

In this work we are considering the behavior of the limit shape of Young diagrams associated to random permutations on the set $\{1,\dots,n\}$ under a particular class of multiplicative measures. Our method is based on generating functions…

Probability · Mathematics 2014-07-10 Alessandra Cipriani , Dirk Zeindler

Random growth models are fundamental objects in modern probability theory, have given rise to new mathematics, and have numerous applications, including tumor growth and fluid flow in porous media. In this article, we introduce some of the…

Probability · Mathematics 2018-04-17 Michael Damron

We prove a strong law of large numbers for directed last passage times in an independent but inhomogeneous exponential environment. Rates for the exponential random variables are obtained from a discretisation of a speed function that may…

Probability · Mathematics 2018-08-03 Federico Ciech , Nicos Georgiou

We study the last passage time in geometric last passage percolation (LPP). As the system size increases, we derive precise large deviation probabilities -- up to and including the constant terms -- for both the lower and upper tails. A key…

Probability · Mathematics 2025-10-21 Sung-Soo Byun , Christophe Charlier , Philippe Moreillon , Nick Simm

Let $\{\eta_{N, v}: v\in V_N\}$ be a discrete Gaussian free field in a two-dimensional box $V_N$ of side length $N$ with Dirichlet boundary conditions. We study the Liouville first passage percolation, i.e., the shortest path metric where…

Probability · Mathematics 2016-06-07 Jian Ding , Subhajit Goswami

We investigate the \emph{last passage percolation} problem on transitive tournaments, in the case when the edge weights are independent Bernoulli random variables. Given a transitive tournament on $n$ nodes with random weights on its edges,…

Combinatorics · Mathematics 2020-05-21 Kunal Dutta

We consider first passage percolation on the configuration model. Once the network has been generated each edge is assigned an i.i.d. weight modeling the passage time of a message along this edge. Then independently two vertices are chosen…

Probability · Mathematics 2018-12-05 Steffen Dereich , Marcel Ortgiese

We study first-passage percolation on $\mathbb Z^d$, $d\ge 2$, with independent weights whose common distribution is compactly supported in $(0,\infty)$ with a uniformly-positive density. Given $\epsilon>0$ and $v\in\mathbb Z^d$, which…

Probability · Mathematics 2023-10-16 Barbara Dembin , Dor Elboim , Ron Peled

This paper studies sparse elliptic random matrix models which generalize both the classical elliptic ensembles and sparse i.i.d. matrix models by incorporating correlated entries and a tunable sparsity parameter $p_n$. Each $n\times n$…

Probability · Mathematics 2025-08-08 Jackson Carpenter , Sean O'Rourke