Statut  Confirmé 
Série  FORUMENS 
Domaines  condmat.statmech 
Date  Mercredi 17 Mai 2023 
Heure  14:00 
Institut  LPENS 
Salle  Conf IV 
Nom de l'orateur  Krauth 
Prenom de l'orateur  Werner 
Addresse email de l'orateur  
Institution de l'orateur  LPENS 
Titre  Nonreversible (i.e. nonequlibrium) Markov chains and their approach ... to equilibrium 
Résumé  Markovchain Monte Carlo is an outstanding computational tool in science. Since its origins, in 1953, it has relied on the detailedbalance condition (that defines equilibrium) to map general computational problems onto equilibriumstatisticalphysics systems. Such reversible Markov chains are generally characterized by diffusive transport. Nonreversible Markov chains violate the detailedbalance condition (they are by definition outofequilibrium), and they are often characterized by ballistic transport. In recent years, the fast approach of nonreversible Markov chains to equilibrium has fascinated scientists across several disciplines. In this talk, I will introduce to this interdisciplinary field of research about nonequilibrium in equilibrium, and discuss mathematical foundations, new algorithms, and exciting applications. In particular, I will discuss a new class of onedimensional Betheansatzsolvable particle models as well as efficient (nonequilibrium) algorithms that sample the Boltzmann distribution exp(beta E) without ever evaluating the energy E. 
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