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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 Brownian web (BW), which developed from the work of Arratia and then T\'{o}th and Werner, is a random collection of paths (with specified starting points) in one plus one dimensional space-time that arises as the scaling limit of the…

Probability · Mathematics 2009-06-29 C. M. Newman , K. Ravishankar , E. Schertzer

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

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 (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 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

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

We obtain the Brownian net of Sun and Swart (2008) as the scaling limit of the paths traced out by a system of continuous (one-dimensional) space and time branching and coalescing random walks. This demonstrates a certain universality of…

Probability · Mathematics 2016-11-17 Alison Etheridge , Nic Freeman , Daniel Straulino

It is known that the point set process of the Brownian net is almost surely locally finite for all deterministic time, and there are random times that break this locally finiteness property. It is shown in this paper that the set of such…

Probability · Mathematics 2025-12-12 Ruibo Kou

The Drainage Network is a system of coalescing random walks, exhibiting long-range dependence before coalescence, introduced by Gangopadhyay, Roy, and Sarkar. Coletti, Fontes, and Dias proved its convergence to the Brownian Web under…

Probability · Mathematics 2024-07-24 Rafael Santos , Glauco Valle , Leonel Zuaznábar

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

We provide a new construction of the Brownian disks, which have been defined by Bettinelli and Miermont as scaling limits of quadrangulations with a boundary when the boundary size tends to infinity. Our method is very similar to the…

Probability · Mathematics 2017-10-23 Jean-François Le Gall

Motivated by its relevance for the study of perturbations of one-dimensional voter models, including stochastic Potts models at low temperature, we consider diffusively rescaled coalescing random walks with branching and killing. Our main…

Probability · Mathematics 2013-09-24 Charles M. Newman , K. Ravishankar , Emmanuel Schertzer

We provide the first classification of different types of Random Boolean Networks (RBNs). We study the differences of RBNs depending on the degree of synchronicity and determinism of their updating scheme. For doing so, we first define…

Computational Complexity · Computer Science 2007-05-23 Carlos Gershenson

The notion of basic net (called also basic polyhedron) on $S^2$ plays a central role in Conway's approach to enumeration of knots and links in $S^3$. Drobotukhina applied this approach for links in $RP^3$ using basic nets on $RP^2$. By a…

Combinatorics · Mathematics 2024-12-04 S. Yu. Orevkov

The Brownian Web (BW) is a family of coalescing Brownian motions starting from every point in space and time $\R\times\R$. It was first introduced by Arratia, and later analyzed in detail by T\'{o}th and Werner. More recently, Fontes,…

Probability · Mathematics 2007-05-23 Rongfeng Sun

We introduce weaves, which are random sets of non-crossing c\`{a}dl\`{a}g paths that cover space-time $\overline{\mathbb{R}}\times\overline{\mathbb{R}}$. The Brownian web is one example of a weave, but a key feature of our work is that we…

Probability · Mathematics 2025-01-06 Nic Freeman , Jan Swart

This review explains in a self-contained way the properties of random Boolean networks and their attractors, with a special focus on critical networks. Using small example networks, analytical calculations, phenomenological arguments, and…

Statistical Mechanics · Physics 2008-11-14 Barbara Drossel

We consider a variant of the radial spanning tree introduced by Baccelli and Bordenave. Like the original model, our model is a tree rooted at the origin, built on the realization of a planar Poisson point process. Unlike it, the paths of…

Probability · Mathematics 2014-03-24 Luiz Renato Fontes , Leon Valencia , Glauco Valle

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
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