BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Artemy Kolchinsky (Universal Biology Institute\, University of Tok yo) DTSTART:20230622T160000Z DTEND:20230622T170000Z DTSTAMP:20260423T003232Z UID:MPML/106 DESCRIPTION:Title: I nformation geometry for nonequilibrium processes\nby Artemy Kolchinsky (Universal Biology Institute\, University of Tokyo) as part of Mathematic s\, Physics and Machine Learning (IST\, Lisbon)\n\n\nAbstract\nRecently\, there has been dramatic progress in nonequilibrium thermodynamics\, with d iverse applications in biological and chemical systems. The central quanti ty of interest in the field is “entropy production” (EP)\, which refle cts the increase of the entropy of a system and its environment. Major que stions of interest include (1) quantitative tradeoffs between EP and perfo rmance measures like speed and precision\, (2) inference of EP from data\, and (3) decomposition of EP into contributions from different sources of dissipation. In this work\, we study the thermodynamics of nonequilibrium processes by considering the information geometry of fluxes. Our approach can be seen as a dynamical generalization of existing work on the informat ion geometry of probability distributions considered at a given instant in time. It is applicable to a broad range of nonequilibrium processes\, inc luding nonlinear ones that exhibit oscillations and/or chaos\, and it has implications for thermodynamic tradeoffs\, thermodynamic inference\, and d ecompositions of EP. As one application\, we derive a universal decomposit ion of EP into “excess” and “housekeeping” contributions\, represe nting contributions from nonstationarity and cyclic fluxes respectively.\n \n(joint work with Andreas Dechant\, Kohei Yoshimura\, Sosuke Ito. arXiv:2 206.14599)\n LOCATION:https://researchseminars.org/talk/MPML/106/ END:VEVENT END:VCALENDAR