English
Related papers

Related papers: The Brownian web is a two-dimensional black noise

200 papers

The Brownian web is a collection of one-dimensional coalescing Brownian motions starting from everywhere in space and time, and the Brownian net is a generalization that also allows branching. They appear in the diffusive scaling limits of…

Probability · Mathematics 2017-01-09 Emmanuel Schertzer , Rongfeng Sun , Jan M. Swart

The (standard) Brownian web is a collection of coalescing one- dimensional Brownian motions, starting from each point in space and time. It arises as the diffusive scaling limit of a collection of coalescing random walks. We show that it is…

Probability · Mathematics 2009-09-29 Rongfeng Sun , Jan M. Swart

The Brownian web is a random object that occurs as the scaling limit of an infinite system of coalescing random walks. Perturbing this system of random walks by, independently at each point in space-time, resampling the random walk…

Probability · Mathematics 2007-05-23 Chris Howitt , Jon Warren

The Brownian web (BW) is the random network formally consisting of the paths of coalescing one-dimensional Brownian motions starting from every space-time point in R\timesR. We extend the earlier work of Arratia and of Toth and Werner by…

Probability · Mathematics 2007-05-23 L. R. G. Fontes , M. Isopi , C. M. Newman , K. Ravishankar

The Brownian Web (BW) is the random network formally consisting of the paths of coalescing one-dimensional Brownian motions starting from every space-time point in ${\mathbb R}\times{\mathbb R}$. We extend the earlier work of Arratia and of…

Probability · Mathematics 2007-05-23 L. R. G. Fontes , M. Isopi , C. M. Newman , K. Ravishankar

The Brownian web is a collection of coalescing Brownian motions started from every space-time point in R2. The Brownian web can be constructed as a scaling limit of coalescing one-dimensional simple random walks started at every point in a…

Probability · Mathematics 2025-10-09 Craig Belair

The Brownian web is a collection of one-dimensional coalescing Brownian motions starting from every point in space and time, while the Brownian net is an extension that also allows branching. We show here that the Brownian net is the…

Probability · Mathematics 2024-01-18 Rongfeng Sun , Jan M. Swart , Jinjiong Yu

Motivated by [G. Cannizzaro, M. Hairer, Comm. Pure Applied Math., '22], we provide a construction of the Brownian Web (see [T\'oth B., Werner W., Probab. Theory Related Fields, '98] and [L. R. G. Fontes, M. Isopi, C. M. Newman, and K.…

Probability · Mathematics 2023-08-03 Giuseppe Cannizzaro , Martin Hairer

We prove Tsirelson's conjecture that any scaling limit of the critical planar percolation is a black noise. Our theorems apply to a number of percolation models, including site percolation on the triangular grid and any subsequential…

Probability · Mathematics 2011-12-30 Stanislav Smirnov , Oded Schramm

In this note, it is proved that the noise (in the sense of Tsirelson) generated by a Brownian sticky flow (as defined in math.PR/0211387) is black.

Probability · Mathematics 2007-05-23 Yves Le Jan , Olivier Raimond

Arratia, and later T\'oth and Werner, constructed random processes that formally correspond to coalescing one-dimensional Brownian motions starting from every space-time point. We extend their work by constructing and characterizing what we…

Probability · Mathematics 2009-11-07 L. R. G. Fontes , M. Isopi , C. M. Newman , K. Ravishankar

Linear functions of many independent random variables lead to classical noises (white, Poisson, and their combinations) in the scaling limit. Some singular stochastic flows and some models of oriented percolation involve very nonlinear…

Probability · Mathematics 2007-05-23 Boris Tsirelson

Coarsening on a one-dimensional lattice is described by the voter model or equivalently by coalescing (or annihilating) random walks representing the evolving boundaries between regions of constant color and by backward (in time) coalescing…

Probability · Mathematics 2007-05-23 L. R. G. Fontes , M. Isopi , C. M. Newman , K. Ravishankar

The Brownian web can be roughly described as a family of coalescing one-dimensional Brownian motions starting at all times in $\R$ and at all points of $\R$. It was introduced by Arratia; a variant was then studied by Toth and Werner;…

Probability · Mathematics 2011-11-10 P. A. Ferrari , L. R. G. Fontes , Xian-Yuan Wu

Brownian motion in one or more dimensions is extensively used as a stochastic process to model natural and engineering signals, as well as financial data. Most works dealing with multidimensional Brownian motion consider the different…

Statistical Mechanics · Physics 2025-03-10 Michał Balcerek , Adrian Pacheco-Pozo , Agnieszka Wyłomanska , Krzysztof Burnecki , Diego Krapf

The purpose of this note is to collect in one place a few results about simple random walk and Brownian motion which are often useful. These include standard results such as Beurling estimates, large deviation estimates, and a method for…

Probability · Mathematics 2007-05-23 Christian Benes

We introduce the model of two-dimensional continuous random interlacements, which is constructed using the Brownian trajectories conditioned on not hitting a fixed set (usually, a disk). This model yields the local picture of Wiener sausage…

Probability · Mathematics 2020-08-17 Francis Comets , Serguei Popov

We propose a metric space of coalescing pairs of paths on which we are able to prove (more or less) directly convergence of objects such as the persistence probability in the (one dimensional, nearest neighbor, symmetric) voter model or the…

Probability · Mathematics 2018-11-29 Luiz Renato Fontes

The times of Brownian local minima, maxima and their union are three distinct examples of local, stationary, dense, random countable sets associated with classical Wiener noise. Being local means, roughly, determined by the local behavior…

Probability · Mathematics 2022-12-13 Matija Vidmar , Jon Warren

B. Tsirelson and A. M. Vershik (1998) introduced the notion of a mathematical noise, which possesses completely opposite properties to those of a white noise. Afterward, B. Tsirelson (2004) called this noise: `black noise.' In this paper,…

Probability · Mathematics 2023-06-19 Takafumi Amaba , Takahiro Aoyama , Shota Araki , Shu Eguchi
‹ Prev 1 2 3 10 Next ›