Seminários de probabilidade – Segundo Semestre de 2024

Quando forem online, as palestras ocorrerão via Google Meet às segundas-feiras às 15h30, a menos de algumas exceções devidamente indicadas.

Quando forem presenciais, as palestras ocorrerão na sala C-116 às segundas-feiras às 15h30, a menos de algumas exceções devidamente indicadas.

Todas as palestras são em inglês.

Lista completa (palestras futuras podem sofrer alterações)

In this talk, we will provide a brief history of some recent developments in the study of random walks in dynamic random environments. Then, we will present a new result that establishes the Central Limit Theorem (CLT) for a family of environments that mix rapidly but not uniformly. We will give an outline of the proof, which follows a very simple idea: showing that the random walk cannot escape from a set of renewal traps. We will conclude the seminar by indicating some interesting directions for the continuation of this study.

This presentation is based on joint work with Julien Allasia, Rangel Baldasso, and Oriane Blondel

In this talk we will discuss some recent developments in random walks in dynamic random environments, when the environment is given by a realization of a particle system as the SEP or ZRP.

Given a finite transitive graph and n particles labeled with numbers {1,2,3,…,n}, we place these particles on the set of vertices at random. Then, we let the particles evolve as a system of coalescing random walks: each particle performs a continuous-time simple random walk (SRW) and whenever two particles meet, they merge into one particle which continues to perform a SRW. At each time t, consider the partition P_t of {1,2,3,…,n} induced by the equivalence relation: i~j when particles i and j occupy the same vertex at time t. We show that the Kingman n-coalescent model emerges as a scaling limit for (P_t), as n is fixed and the size of the graph goes to infinity. This result allows me to talk about our main tool in our approach: the martingale problem.

Joint work with Enrique Chavez.

 

The characterization of the invariant measures for non-reversible particle systems driven out-of-equilibrium via the action of external reservoirs is typically a difficult task. This has been achieved e.g. for the well-known exclusion process. In this talk I will show a class of boundary driven zero-range models whose non-equilibrium steady state can be explicitly characterized via a probabilistic mixture of inhomogeneous product measures. This characterization of the non-equilibrium steady state allows to compute the formula for the density large deviation function predicted by Macroscopic Fluctuation Theory and to establish the additivity principle.

This is from joint works with: Chiara Franceschini, Rouven Frassek, Davide Gabrielli, Cristian Giardinà, Frank Redig and Dimitrios Tsagkarogiannis