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Benjamin Jourdain
Researcher at University of Paris
Publications - 174
Citations - 2557
Benjamin Jourdain is an academic researcher from University of Paris. The author has contributed to research in topics: Stochastic differential equation & Nonlinear system. The author has an hindex of 26, co-authored 166 publications receiving 2226 citations. Previous affiliations of Benjamin Jourdain include École des ponts ParisTech & French Institute for Research in Computer Science and Automation.
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Existence of solution for a micro–macro model of polymeric fluid: the FENE model
TL;DR: In this paper, a non-linear micro-macro model of polymeric fluids in the case of a shear flow was analyzed and the existence of a unique solution to the stochastic differential equation which rules the evolution of a representative polymer in the flow was proved.
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Nonlinear SDEs driven by Levy processes and related PDEs
TL;DR: In this paper, the authors studied general nonlinear stochastic differential equa- tions, where the usual Brownian motion is replaced by a Levy process, and they proved that the time-marginals of the solutions are abso- lutely continuous with respect to the Lebesgue measure.
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Propagation of chaos and fluctuations for a moderate model with smooth initial data
Benjamin Jourdain,Sylvie Méléard +1 more
TL;DR: In this article, a stochastic differential equation which is nonlinear in the sense that both the diffusion and the drift coefficients depend locally on the density of the time marginal of the solution was studied.
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Long-Time Asymptotics of a Multiscale Model for Polymeric Fluid Flows
TL;DR: In this article, the long-time behavior of some micro-macro models for polymeric fluids (Hookean model and FENE model) in various settings (shear flow, general bounded domain with homogeneous Dirichlet boundary conditions on the velocity and non-homogeneous Diriclet boundary condition on the velocities) was investigated.
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A stochastic approach for the numerical simulation of the general dynamics equation for aerosols
TL;DR: In this paper, a stochastic algorithm based mainly on Monte Carlo Methods and Applications 5(1) (1999) 1; Stochastic particle approximations for Smoluchowski's coagulation equation.