Sylvie Roelly
University of Paris
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Sylvie Roelly.
Probability Theory and Related Fields | 1992
Luis G. Gorostiza; Sylvie Roelly; Anton Wakolbinger
SummaryWe consider a class of systems of particles ofk types inRd undergoing spatial diffusion and critical multitype branching, where the diffusions, the particle lifetimes and the branching laws depend on the types. We prove persistence criteria for such systems and for their corresponding high density limits known as multitype Dawson-Watanabe processes. The main tool is a representation of the Palm distributions for a general class of inhomogeneous critical branching particle systems, constructed by means of a “backward tree”.
Statistics & Probability Letters | 1998
S. Poghosyan; Sylvie Roelly
A convergence criterium to the multi-parameter Wiener process is proved. Then, it is used to establish that a martingale-difference random field on the lattice satisfies an invariance principle.
Stochastic Processes and their Applications | 1991
Luis G. Gorostiza; Sylvie Roelly
Qualitative properties of the multitype measure branching process and its occupation time process are investigated, including martingale properties, Hausdorff dimension of supports, existence of densities and stochastic equations.
Archive | 1991
Donald A. Dawson; Klaus Fleischmann; Sylvie Roelly
Spatially homogeneous measure-valued branching Markov processes X on the real line ℝ with certain motion processes and branching mechanisms with finite variances have absolutely continuous states with respect to Lebesgue measure, that is, roughly speaking,
Archive | 1992
Sylvie Méléard; Sylvie Roelly
Stochastic Processes and their Applications | 2000
Myriam Fradon; Sylvie Roelly; Hideki Tanemura
X(t,dy) = \eta (t,y)dy
Stochastic Processes and their Applications | 1996
Yu.G. Kondratiev; Sylvie Roelly; Hans Zessin
Stochastics and Dynamics | 2006
Myriam Fradon; Sylvie Roelly
for some random density function η(t)=η(t,·). Results of this type are established in Dawson and Hochberg (1979), Roelly-Coppoletta (1986), Wulfsohn (1986), Konno and Shiga (1988), and Tribe (1989).
Bernoulli | 2016
Patrick Cattiaux; Myriam Fradon; Alexei M. Kulik; Sylvie Roelly
The infinite particle system known as spatial branching process has been introduced (under the name Branching Markov process) by Ikeda, Nagasawa, Watanabe ([I-N-W]).
Publicacions Matematiques | 1999
Sylvie Roelly; D. Seu
We study an infinite system of Brownian hard balls, moving in and submitted to a smooth infinite range pair potential. It is represented by a diffusion process, which is constructed as the unique strong solution of an infinite-dimensional Skorohod equation. We also prove that canonical Gibbs states associated to the sum of the hard core potential and the pair potential are reversible measures for the dynamics.