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SUMMARY:Mixing\, stopping\, coupling\, lifting\, and other keys to the sec
 ond Monte Carlo revolution - Prof Werner Krauth\, Ecole Normale Supérieur
 e Paris\, Rudolf Peierls Centre for Theoretical Physics\, University of Ox
 ford
DTSTART:20240131T160000Z
DTEND:20240131T170000Z
UID:TALK211042@talks.cam.ac.uk
CONTACT:Dr Nur Unal
DESCRIPTION:The Monte Carlo method is at the origin of the revolution in p
 hysics that has brought the electronic computer into our research laborato
 ries and class rooms. Since its beginning\, in 1953\, the method has relie
 d on the detailed-balance condition to map general computational problems 
 onto equilibrium-statistical-physics systems. Such reversible Markov chain
 s are generally characterized by diffusive transport. In the last two deca
 des\, a second revolution has taken place\, where the detailed balance is 
 broken and thus\, also\, the analogy with equilibrium statistical physics.
  The steady state of non-reversible Markov chains agrees with that of the 
 equilibrium approach\, but it is often approached ballistically\, rather t
 han diffusively\n\nIn this talk\, I will introduce to this interdisciplina
 ry field of research about non-equilibrium in equilibrium\, starting with 
 the keywords of modern Markov-chain Monte Carlo. In particular\, I will di
 scuss applications from Bethe-ansatz solvable particle models to new Monte
  Carlo algorithms in statistical and chemical physics.
LOCATION:Small Lecture Theatre\, Cavendish Laboratory\, J.J. Thomson Avenu
 e
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