AbstractWe consider a self-similar fragmentation process which preserves the total mass. We are interested in the asymptotic behavior as ε→0+ of N(ε,t)=Card{i:Xi(t)>ε}, the number of fragments with size greater than ε at some fixed time t>0. Under a certain condition of regular variation type on the so-called dislocation measure, we exhibit a deterministic function ϕ:]0,1[→]0,∞[ such that the limit of N(ε,t)/ϕ(ε) exists and is non-degenerate. In general the limit is random, but may be deterministic when a certain relation between the index of self-similarity and the dislocation measure holds. We also present a similar result for the total mass of fragments less than ε
We study a Markovian model for the random fragmentation of an object. At each time, the state consis...
The self-similar growth-fragmentation equation describes the evolution of a medium in which particle...
International audienceWe consider the height process of a Lévy process with no negative jumps, and i...
AbstractWe consider a self-similar fragmentation process which preserves the total mass. We are inte...
We introduce a probabilistic model that is meant to describe an object that falls apart randomly as ...
International audienceWe consider the fragmentation at nodes of the Lévy continuous random tree intr...
The subject of this paper is a fragmentation equation with non-conservative solutions, some mass bei...
AbstractWe consider the height process of a Lévy process with no negative jumps, and its associated ...
International audienceWe explore statistical inference in self-similar conservative fragmentation ch...
The main subject of this PHD thesis is the study of various quantities related to fragmentation proc...
We look at models of fragmentation with growth. In such a model, one has a number of independent cel...
32 pagesWe study a natural fragmentation process of the so-called stable tree introduced by Duquesne...
Markovian growth-fragmentation processes describe a family of particles which can grow larger or sma...
30 pagesThe basic object we consider is a certain model of continuum random tree, called the stable ...
Abstract. We study a Markovian model for the random fragmentation of an object. At each time, the st...
We study a Markovian model for the random fragmentation of an object. At each time, the state consis...
The self-similar growth-fragmentation equation describes the evolution of a medium in which particle...
International audienceWe consider the height process of a Lévy process with no negative jumps, and i...
AbstractWe consider a self-similar fragmentation process which preserves the total mass. We are inte...
We introduce a probabilistic model that is meant to describe an object that falls apart randomly as ...
International audienceWe consider the fragmentation at nodes of the Lévy continuous random tree intr...
The subject of this paper is a fragmentation equation with non-conservative solutions, some mass bei...
AbstractWe consider the height process of a Lévy process with no negative jumps, and its associated ...
International audienceWe explore statistical inference in self-similar conservative fragmentation ch...
The main subject of this PHD thesis is the study of various quantities related to fragmentation proc...
We look at models of fragmentation with growth. In such a model, one has a number of independent cel...
32 pagesWe study a natural fragmentation process of the so-called stable tree introduced by Duquesne...
Markovian growth-fragmentation processes describe a family of particles which can grow larger or sma...
30 pagesThe basic object we consider is a certain model of continuum random tree, called the stable ...
Abstract. We study a Markovian model for the random fragmentation of an object. At each time, the st...
We study a Markovian model for the random fragmentation of an object. At each time, the state consis...
The self-similar growth-fragmentation equation describes the evolution of a medium in which particle...
International audienceWe consider the height process of a Lévy process with no negative jumps, and i...