Event Type: Lecture
Stability for some impulsive neutral stochastic functional integro-differential equations driven by fractional Brownian motion/ Global dynamics of a spatiotemporal cellular model for the Hepatitis C virus infection with Hattaf-Yousfi functional response
Speaker 1: Dr. Louk-Man Issaka (Department of Mathematics, Universite Gaston Berger de Saint-Louis, Senegal) Title 1: Stability for some impulsive neutral stochastic functional integro-differential equations driven by fractional Brownian motion Abstract 1: The aim of this talk is to present the stability for some integro-differential equations driven by fractional Brownian motion with noncompact semigroup in Hilbert spaces. In this
On Visintin’s laziness principle and the optimal investment strategies with small transaction costs.
Speaker: Dr. Raouf Ghomrasni Short biography of Speaker: Dr. Raouf Ghomrasni is a probabilist. He was a lecturer at Witwatersrand University and held a research position at the African Institute for Mathematical Sciences (AIMS) in South Africa. More recently he has worked as a Statistician consultant for the World Health Organization and is currently a researcher
The Energy decay rate of 1D and 2D Timoshenko systems: Theoretical analysis and numerical simulation / An Improved Numerical Solution of the Korteweg-de Vries (KdV) Equation
Speaker 1: Dr. Sabrine Chebbi (Department of mathematics, University of Tunis El MANAR, UTM) Title: The Energy decay rate of 1D and 2D Timoshenko systems: Theoretical analysis and numerical simulation Abstract 1: We focus on the behavior of the solutions of the Timoshenko systems in dimensions 1 and 2 using the lower bound estimates of the energy.
Infinite regularization by noise
Abstract: It is a classical yet surprising result that noise can have a regularizing effect on differential equations. For example, adding a Brownian motion to an ODE with a bounded and measurable vector field leads to a well-posed equation with Lipschitz continuous flow. While the equation without noise may have none or many solutions. Classical proofsare
Numerical schemes for radial Dunkl processes
Abstract: In this talk, we consider the numerical approximation for a class of radial Dunkl processes corresponding to arbitrary (reduced) root systems. This class contains some well-known processes such as Bessel processes and Dyson’s Brownian motions. We introduce a backward and truncated Euler–Maruyama scheme, which can be implemented on a computer, and study its rate of
Back to the future: Using full genome data to infer past species history and ecological/life-history traits
Speaker: Prof. Aurélien Tellier (Professor of population genetics, Technical University of Munich, Germany) Abstract: The field of evolutionary genetics is profoundly rooted in stochastic mathematical theory and since several years the theory has been extended to model the evolution of full genomes. Indeed, large amounts of full genome data are becoming available for human but also non-model organisms.
Davie type estimations for the Brownian sheet
Abstract: We prove and apply a local time-space integration formula to provide several Davie type bounds for the Brownian sheet. This local time-space integration formula is similar to that obtained by Eisenbaum for the reversible semimartingales. Davie type bounds are useful to prove strong uniqueness results for stochastic differential equations with irregular drifts. Such estimates originated
On “rough” Quadratic Wiener Functionals
Speaker: Prof. Jiro Akahori (Professor, Department of Mathematical Sciences, Ritsumeikan University, Japan) Abstract: In this talk, the law of functionals of fractional Brownian motion, which is quadratic in an infinite-dimensional sense, and also related topics, will be discussed. We are interested in how the classical results on quadratic functionals of standard Browian motion are generalized. Applications will
Hyperbolic Conservation Laws arising in the study of the forward-forward Mean-Field Games.
Speaker: Prof. Marc Sedjro (German Research Chair, AIMS South Africa) Abstract: In this talk, we introduce several models of the so-called forward-forward Mean-Field Games (MFGs). The forward-forward models arise in the study of numerical schemes to approximate stationary MFGs. We establish a link between these models and a class of hyperbolic conservation laws. Furthermore, we investigate the