activity
20092026
most citedOn large deviations for the cover time of two-dimensional torus

31 citations · 69 across the 16 of their papers we have counts for

collaborators

18 papers

math.ST2026

Reduction and classification of higher-order Markov chains

Christophe Gallesco, Caio Teodore Genovese Huss Oliveira, Daniel Yasumasa Takahashi

We study the class structure of finite-alphabet Markov chains with arbitrary memory length. To capture the structural constraints induced by prohibited transitions, we introduce th…

math.PR2025

Uniqueness of stationary compatible probability measures for chains of infinite order with forbidden transitions

Christophe Gallesco, Sandro Gallo, Daniel Yasumasa Takahashi

In this paper, we consider chains of infinite order on countable state spaces with prohibited transitions. We give a set of sufficient conditions on the structure of the probabilit…

math.OC2024

Convergence and Stability Analysis of the Extended Infinite Horizon Model Predictive Control

Luz A. Alvarez, Diego F. de Bernardini, Christophe Gallesco

Model Predictive Control (MPC) is a popular technology to operate industrial systems. It refers to a class of control algorithms that use an explicit model of the system to obtain…

math.DS2020

Mixing rates for potentials of non-summable variations

Christophe Gallesco, Daniel Y. Takahashi

Mixing rates and decay of correlations for dynamics defined by potentials with summable variations are well understood, but little is known for non-summable variations. In this pap…

math.PR2018★ 2 cited

An improved decoupling inequality for random interlacements

Diego F. de Bernardini, Christophe Gallesco, Serguei Popov

In this paper we obtain a decoupling feature of the random interlacements process , at level , . More precisely, we show that the tr…

math.PR2016★ 16 cited

On uniform closeness of local times of Markov chains and i.i.d. sequences

Diego F. de Bernardini, Christophe Gallesco, Serguei Popov

In this paper we consider the field of local times of a discrete-time Markov chain on a general state space, and obtain uniform (in time) upper bounds on the total variation distan…