Diffondo volentieri

---------- Forwarded message --------- Da: Stefan Geiss geiss@jyu.fi Date: Mer 26 Mar 2025, 07:15 Subject: International Seminar on SDEs ... : Apr 11: Arnaud Debussche To: gianmario.tessitore@unimib.it

Best regards, Stefan

Dear Colleague,

tomorrow, Friday, April 11 ,

(12:30 noon London, 1:30 pm Berlin, 2:30 pm Helsinki, 7:30 pm Beijing)

in the *International Seminar on SDEs and Related Topics* in Zoom

https://jyufi.zoom.us/j/61891007917

Apr 11, 2025 *Arnaud Debussche* (ENS Rennes, France)

will speak about

*From correlated to white transport noise in fluid models*

Abstract: Stochastic fluid models with transport noise are popular, the transport noise models unresolved small scales. The main assumption in these models is a very strong separation of scales allowing this representation of small scales by white - i.e. fully decorrelated - noise. It is therefore natural to investigate whether these models are limits of models with correlated noises. Also, an advantage of correlated noises is that they allow classical calculus. In particular, it allows to revisit the derivation of stochastic models from variational principles and allows to derive an equation for the evolution of the noise components. The advantage of having such an equation is that in most works, the noise components are considered as given and stationary with respect to time which is non realistic. Coupling stochastic fluid models with these gives more realistic systems.

===== about the speaker ====

Arnaud Debussche is a prominent French mathematician specializing in stochastic partial differential equations and their applications. Born in 1965, he attended the École Normale Supérieure de Saint-Cloud,where he pursued advanced studies in mathematics. He earned his Ph.D. from Université d'Orsay in 1989. Following a postdoctoral position at Indiana University, he joined the National Center for Scientific Research (CNRS) in 1992. In 2000, he became a full professor at the École Normale Supérieure de Rennes, where he continues to contribute significantly to the field. Throughout his career, Professor Debussche has made substantial contributions to the analysis and numerical simulation of stochastic partial differential equations, particularly in fluid dynamics. His work includes studies on the stochastic Navier–Stokes equations and the stochastic nonlinear Schrödinger equation. He has also co-edited scholarly works on stochastic partial differential equations, reflecting his active engagement in advancing mathematical understanding in this area. Professor Debussche's research has been widely recognized and cited, underscoring his influence in the mathematical community. His ongoing work continues to shape the study of stochastic processes and their applications in complex systems.

========our webpage is ======================== https://users.jyu.fi/~chgeiss/271828.html