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Stochastic Homogenization of viscous HJ equations in 1d

In this talk I will present some new results I have recently obtained about homogenization of viscous Hamilton-Jacobi equations in dimension one in stationary ergodic environments with nonconvex Hamil...

Cluster algebras and knot theory

Cluster algebras are commutative algebras with a special combinatorial structure. A cluster algebra is a subalgebra of a field of rational functions in several variables that is generated by a disting...

Dissolution of Multiple Variable-in-Shape Drug Particles Using the Level-Set Method

The dynamics of variable-in-shape drug particles are fundamental to predict the dissolution of drugs in a fluid. In this talk we propose a new approach which consists of describing the dissolution pro...

A Hamilton-Jacobi-Bellman Approach to Ellipsoidal Approximations of Reachable Sets

Society's ever-increasing integration of autonomous systems in day-to-day life has simultaneously brought forth concerns as to how their safety and reliability can be verified. To this end, reachable ...

Low energy spectrum of the XXZ model coupled to a magnetic field

I will report on recent developments concerning the control of a class of short-range perturbations of the Hamiltonian of an Ising chain. An example covered by our analysis is the celebrated XXZ chain...

Every complex Hénon map satisfies the Central Limit Theorem.

Hénon maps were introduced by Michel Hénon as a simplified model of the Poincaré section of the Lorenz model. They are among the most studied discrete-time dynamical systems that exhibit chaotic behav...

Rare Events and Hitting Time Distribution for Discrete Time Samplings of Stochastic Differential Equations

We consider a random discrete time system in which the evolution of a stochastic differential equation is sampled at a sequence of discrete times. We set up a functional analytic framework for which w...

Fundamental solutions and Liouville results for nonlinear nonlocal operators in cones

In this talk we discuss the existence of fundamental solutions for a class of nonlinear nonlocal uniformly elliptic operators defined in cones and its application to derive Liouville results for Lane-...

Gaussian Approximation and Bayesian Posterior Distribution in Random Deep Neural Networks

We establish novel rates for the Gaussian approximation of randomly initialized deep neural networks with Gaussian parameters and Lipschitz activation functions, in the so-called wide limit, i.e., whe...
Iscriviti a a.a. 2023-2024