In this talk, I will briefly recall the historical Kalman filter and its ensemble form. Then I will show how the latter has been successfully implemented for data assimilation, in particular in numerical weather forecasting. More recently, the Ensemble Kalman Filter has been proposed as a methodology for solving very general inverse problems in high-dimensional contexts. I will present the theory, show some simple applications and point out the numerous open problems that remain.

We investigate the energy decay of hyperbolic system of wave-wave with generalized acoustic boundary conditions in N-dimensional space, with the equations being coupled through boundary connection. First, by spectrum approach combining with a general criteria of Arendt-Batty, we prove that our model is strongly stable. Then, after proving that this system lacks the exponential stability, we establish different type of polynomial energy decay rates provided that the coefficients of the acoustic boundary conditions satisfy some assumptions. Further, we present some appropriate examples and show that our assumptions have been set correctly. Finally, we prove that the obtained energy decay rate is optimal in particular case.

Abstract

Dans ce groupe de travail, je vais donner un aperçu général des différents résultats d’existence globale en temps d’une classe de systèmes de réaction-diffusion qui proviennent de la modélisation de l’écologie (Systèmes de Lotka-Volterra), , la chimie (réactions chimiques réversibles) et de nombreux autres domaines scientifiques.

This is a joint work with Dan Tiba (Institute of Mathematics, Romanian Academy, dan.tiba@imar.ro).
We study the penalized steady Navier-Stokes with Neumann boundary conditions system in a holdall domain, its approximation properties (with error estimates) and the uniqueness of the solution that is obtained in a non standard manner. Numerical tests are presented.

As part of control theory, stabilization consists in finding a way to make stable a trajectory of a system on which one has some means of action. In this talk, we will discuss recent advances in stabilization of PDEs, starting with one of the most natural approaches for nonlinear systems, quadratic Lyapunov functions, to more complex approaches such as Fredholm backstepping. Backstepping consists in finding a control operator such that the PDE system can be invertibly mapped to a simpler PDE system for which stability is known. Surprisingly powerful, this approach offers the possibility to deal with very general classes of systems. We will review the origin of the method and present new results that resolve a question opened in 2017 and illustrate it on the rapid stabilization of the linearized water-wave equations. Finally, if time allows we will talk about a completely different subject: teaching mathematics to an AI and we will consider two questions, can we train an AI to predict the solution of a mathematical problem? can we train an AI to prove a statement?

Dans ce groupe de travail, je vais donner un aperçu général des différents résultats d’existence globale en temps d’une classe de systèmes de réaction-diffusion qui proviennent de la modélisation de l’écologie (Systèmes de Lotka-Volterra), , la chimie (réactions chimiques réversibles) et de nombreux autres domaines scientifiques.

We consider the wave propagation in a periodic structure made of a honeycomb arrangement of thin tubes. We prove the presence of Dirac points (in the dispersion surfaces of the associated operator). In addition, cutting the structure in the Zig Zag direction creates guides modes. Those results are proved by asymtptotic analysis: as the width of the tubes goes to zeros the domain tends to a graph (where explicite computations can be done). This is a joint work with Sonia Fliss (POEMS, Inria-ENSTA-CNRS).

I will present some recent work in collaboration with Elisa Davoli (TU Wien) and Katerina Nik (University of Vienna) on a three-dimensional quasistatic morpholelastic model. The mechanical response of the body and its growth are modeled by the interplay of hyperelastic energy minimization and growth dynamics. An existence result is obtained by regularization and time-discretization, also taking advantage of an exponential-update scheme. Then, we allow the growth dynamics to depend on an additional scalar field modeling nutrient concentration, and formulate an optimal control problem. Eventually, we tackle the existence of coupled morphoelastic and nutrient solutions, when the latter is allowed to diffuse and interact with the growing body.