20 pages, 9 figuresBrownian particles that are replicated and annihilated at equal rate have strongly correlated positions, forming a few compact clusters separated by large gaps. We characterize the distribution of the particles at a given time, using a definition of clusters in terms a coarse-graining length recently introduced by some of us. We show that, in a non-extinct realization, the average number of clusters grows as $\sim t^{D_{\mathrm{f}}/2}$ where $D_{\mathrm{f}} \approx 0.22$ is the Haussdoff dimension of the boundary of the super-Brownian motion, found by Mueller, Mytnik, and Perkins. We also compute the distribution of gaps between consecutive particles. We find two regimes separated by the characteristic length scale $\ell ...
We study a spatial branching model, where the underlying motion is d-dimensional (d≥1) Brownian moti...
The dynamical process of cluster formation is numerically studied by carrying out with 2-dimensional...
In the framework of a stochastic picture for the one-dimensional branching Brownian motion, we compu...
Brownian particles that are replicated and annihilated at equal rate have strongly correlated positi...
19 pages, 5 figuresInternational audienceWe study analytically the order and gap statistics of parti...
Branching Brownian motion is a random particle system which incorporates both the tree-like structur...
International audienceWe consider a stochastic dynamics for a system of diffusing hard-core particle...
A typical feature of the long time behavior of continuous super-Brownian motion in a stable catalyti...
Consider a system of particles which move in $R^d$ according to a symmetric $\alpha$-stable motion, ...
Abstract. We study a spatial branching model, where the underlying motion is d-dimensional (d ≥ 1) B...
As a first step toward a characterization of the limiting extremal process of branching Brownian mot...
[eng] We have studied the properties of an assembly of Brownian particles interacting via an attract...
Anomalous coarsening in far-from-equilibrium one-dimensional systems is investigated by applying sim...
Consider a system of particles which move in R^d according to a symmetric alpha-stable motion, have ...
15 pages (2 columns), 11 figures, slightly revised versionInternational audienceWe study the one dim...
We study a spatial branching model, where the underlying motion is d-dimensional (d≥1) Brownian moti...
The dynamical process of cluster formation is numerically studied by carrying out with 2-dimensional...
In the framework of a stochastic picture for the one-dimensional branching Brownian motion, we compu...
Brownian particles that are replicated and annihilated at equal rate have strongly correlated positi...
19 pages, 5 figuresInternational audienceWe study analytically the order and gap statistics of parti...
Branching Brownian motion is a random particle system which incorporates both the tree-like structur...
International audienceWe consider a stochastic dynamics for a system of diffusing hard-core particle...
A typical feature of the long time behavior of continuous super-Brownian motion in a stable catalyti...
Consider a system of particles which move in $R^d$ according to a symmetric $\alpha$-stable motion, ...
Abstract. We study a spatial branching model, where the underlying motion is d-dimensional (d ≥ 1) B...
As a first step toward a characterization of the limiting extremal process of branching Brownian mot...
[eng] We have studied the properties of an assembly of Brownian particles interacting via an attract...
Anomalous coarsening in far-from-equilibrium one-dimensional systems is investigated by applying sim...
Consider a system of particles which move in R^d according to a symmetric alpha-stable motion, have ...
15 pages (2 columns), 11 figures, slightly revised versionInternational audienceWe study the one dim...
We study a spatial branching model, where the underlying motion is d-dimensional (d≥1) Brownian moti...
The dynamical process of cluster formation is numerically studied by carrying out with 2-dimensional...
In the framework of a stochastic picture for the one-dimensional branching Brownian motion, we compu...