We study branching diffusions in a bounded domain D of Rd in which particles are killed upon hitting the boundary ∂D . It is known that any such process undergoes a phase transition when the branching rate β exceeds a critical value: a multiple of the first eigenvalue of the generator of the diffusion. We investigate the system at criticality and show that the associated genealogical tree, when the process is conditioned to survive for a long time, converges to Aldous’ Continuum Random Tree under appropriate rescaling. The result holds under only a mild assumption on the domain, and is valid for all branching mechanisms with finite variance, and a general class of diffusions
In this article we investigate the asymptotic behavior of a new class of multidimensional diffusions...
We prove an invariance principle for a class of zero-drift spatially non-homogeneous random walks i...
We consider a branching model in discrete time for structured population in varying environment. Eac...
We prove that a random distribution in two dimensions which is conformally invariant and satisfies ...
This thesis focusses on the properties of, and relationships between, several fundamental objects ar...
International audienceIn this article, we study a branching random walk in an environment which depe...
1 figure; revised versionIn this paper, we study Gaussian multiplicative chaos in the critical case....
We study a pair of populations in R2 which undergo diffusion and branching. The system is interactiv...
International audienceWe study persistence probabilities for random walks in correlated Gaussian ran...
This paper studies countable systems of linearly and hierarchically interacting diffusions taking va...
Abstract. We study a spatial branching model, where the underlying motion is d-dimensional (d ≥ 1) B...
We consider the boundary case in a one-dimensional supercritical branching random walk, and study tw...
Given a general critical or sub-critical branching mechanism, we define a pruning procedure of the a...
We study critical branching random walks (BRWs) U(n) on where the displacement of an offspring fro...
International audienceIn this note, we make explicit the law of the renormalized supercritical branc...
In this article we investigate the asymptotic behavior of a new class of multidimensional diffusions...
We prove an invariance principle for a class of zero-drift spatially non-homogeneous random walks i...
We consider a branching model in discrete time for structured population in varying environment. Eac...
We prove that a random distribution in two dimensions which is conformally invariant and satisfies ...
This thesis focusses on the properties of, and relationships between, several fundamental objects ar...
International audienceIn this article, we study a branching random walk in an environment which depe...
1 figure; revised versionIn this paper, we study Gaussian multiplicative chaos in the critical case....
We study a pair of populations in R2 which undergo diffusion and branching. The system is interactiv...
International audienceWe study persistence probabilities for random walks in correlated Gaussian ran...
This paper studies countable systems of linearly and hierarchically interacting diffusions taking va...
Abstract. We study a spatial branching model, where the underlying motion is d-dimensional (d ≥ 1) B...
We consider the boundary case in a one-dimensional supercritical branching random walk, and study tw...
Given a general critical or sub-critical branching mechanism, we define a pruning procedure of the a...
We study critical branching random walks (BRWs) U(n) on where the displacement of an offspring fro...
International audienceIn this note, we make explicit the law of the renormalized supercritical branc...
In this article we investigate the asymptotic behavior of a new class of multidimensional diffusions...
We prove an invariance principle for a class of zero-drift spatially non-homogeneous random walks i...
We consider a branching model in discrete time for structured population in varying environment. Eac...