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Related papers: Noise sensitivity in last-passage percolation

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In this paper we study noise sensitivity and threshold phenomena for Poisson Voronoi percolation on $\mathbb{R}^2$. In the setting of Boolean functions, both threshold phenomena and noise sensitivity can be understood via the study of…

Probability · Mathematics 2018-11-13 Daniel Ahlberg , Rangel Baldasso

The noise sensitivity of a Boolean function describes its likelihood to flip under small perturbations of its input. Introduced in the seminal work of Benjamini, Kalai and Schramm [Inst. Hautes \'{E}tudes Sci. Publ. Math. 90 (1999) 5-43],…

Probability · Mathematics 2015-12-23 Eyal Lubetzky , Jeffrey E. Steif

We study functions on the infinite-dimensional Hamming cube $\{-1,1\}^\infty$, in particular Boolean functions into $\{-1,1\}$, generalising results on analysis of Boolean functions on $\{-1,1\}^n$ for $n\in\mathbb{N}$. The notion of noise…

Probability · Mathematics 2019-06-11 Vilhelm Agdur

We prove that the Poisson Boolean model, also known as the Gilbert disc model, is noise sensitive at criticality. This is the first such result for a Continuum Percolation model, and the first for which the critical probability p_c \ne 1/2.…

Probability · Mathematics 2015-07-07 Daniel Ahlberg , Erik Broman , Simon Griffiths , Robert Morris

Proofs of sharp phase transition and noise sensitivity in percolation have been significantly simplified by the use of randomized algorithms, via the OSSS inequality (proved by O'Donnell, Saks, Schramm and Servedio (2005)) and the…

Probability · Mathematics 2022-09-22 Günter Last , Giovanni Peccati , D. Yogeshwaran

We show that planar Bargmann-Fock percolation is noise sensitive under the Ornstein-Ulhenbeck process. The proof is based on the randomized algorithm approach introduced by Schramm and Steif and gives quantitative polynomial bounds on the…

Probability · Mathematics 2020-09-11 Christophe Garban , Hugo Vanneuville

Assign independent weights to the edges of the square lattice, from the uniform distribution on $\{a,b\}$ for some $0<a<b<\infty$. The weighted graph induces a random metric on $\mathbb{Z}^2$. Let $T_n$ denote the distance between $(0,0)$…

Probability · Mathematics 2025-06-25 Daniel Ahlberg , Daniel de la Riva

We consider the statistical properties of arrival times and balls on first-passage percolation (FPP) $2D$ square lattices with strong disorder in the link-times. A previous work showed a crossover in the weak disorder regime, between…

We study first-passage percolation on $\mathbb Z ^2$ with independent and identically distributed weights, whose common distribution is uniform on $\{a,b\}$ with $0<a<b<\infty $. Following Ahlberg and De la Riva, we consider the passage…

Probability · Mathematics 2025-05-07 Barbara Dembin , Dor Elboim

Answering questions of Itai Benjamini, we show that the event of complete occupation in 2-neighbour bootstrap percolation on the d-dimensional box [n]^d, for d\geq 2, at its critical initial density p_c(n), is noise sensitive, while in…

Probability · Mathematics 2015-09-29 Zsolt Bartha , Gábor Pete

It is shown that a large class of events in a product probability space are highly sensitive to noise, in the sense that with high probability, the configuration with an arbitrary small percent of random errors gives almost no prediction…

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

The interplay between two-dimensional percolation growth models and one-dimensional particle processes has been a fruitful source of interesting mathematical phenomena. In this paper we develop a connection between the construction of…

Probability · Mathematics 2010-01-26 Eric Cator , Leandro P. R. Pimentel

We consider a system of N particles with a stochastic dynamics introduced by Brunet and Derrida. The particles can be interpreted as last passage times in directed percolation on {1,...,N} of mean-field type. The particles remain grouped…

Probability · Mathematics 2015-06-04 Francis Comets , Jeremy Quastel , Alejandro F. Ramirez

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

We present a survey of techniques to obtain upper bounds for the variance of the passage time in first-passage percolation. The methods discussed are a combination of tools from the theory of concentration of measure, some of which we…

Probability · Mathematics 2018-04-17 Philippe Sosoe

We survey in this paper the main contributions of Oded Schramm related to noise sensitivity. We will describe in particular his various works which focused on the "spectral analysis" of critical percolation (and more generally of Boolean…

Probability · Mathematics 2012-02-09 Christophe Garban

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 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

Recently the study of noise sensitivity and noise stability of Boolean functions has received considerable attention. The purpose of this paper is to extend these notions in a natural way to a different class of perturbations, namely those…

Probability · Mathematics 2015-03-17 Erik I. Broman , Christophe Garban , Jeffrey E. Steif

We consider planar directed last-passage percolation on the square lattice with general i.i.d. weights and study the geometry of the full set of semi-infinite geodesics in a typical realization of the random environment. The structure of…

Probability · Mathematics 2023-08-01 Christopher Janjigian , Firas Rassoul-Agha , Timo Seppäläinen
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