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SUMMARY:Angelo Vulpiani\, "SHORT Course: On the foundations of statistical
  mechanics"
DTSTART;VALUE=DATE-TIME:20260616T140000Z
DTEND;VALUE=DATE-TIME:20260618T083000Z
DTSTAMP;VALUE=DATE-TIME:20260815T013300Z
UID:indico-event-908@indico.gssi.it
CONTACT:angelo.vulpiani@roma1.infn.it
DESCRIPTION:LecturerAngelo Vulpiani (Sapienza\, Università di Roma)Timeta
 ble and workloadLectures: 8 hoursCourse contentAlthough not as wide\, and 
 popular\, as that of quantum mechanics\, the investigation of fundamental 
 aspects of statistical mechanics constitutes an important research field i
 n the building of modern physics. Besides the interest for itself\, both f
 or physicists and philosophers\, and the obvious pedagogical motivations\,
  there is a further\, compelling reason for a thorough understanding of th
 e subject. The fast development of models and methods at the edge of the e
 stablished domain of the field requires indeed a deep reflection on the es
 sential aspects of the theory\, which are at the basis of its success. The
 se elements should never be disregarded when trying to expand the domain o
 f statistical mechanics to systems with novel\, little known features.It i
 s thus important to (re)consider in a careful way the main ingredients inv
 olved in the foundations of statistical mechanics. Among those\, a primary
  role is covered by the dynamical aspects (e.g. presence of chaos)\, the e
 mergence of collective features for large systems\, and the use of probabi
 lity in the building of a consistent statistical description of physical s
 ystems. With this goal in mind\, in the present review we aim at providing
  a consistent picture of the state of the art of the subject\, both in the
  classical and in the quantum realm. In particular\, we will highlight the
  similarities of the key technical and conceptual steps with emphasis on t
 he relevance of the many degrees of freedom\, to justify the use of statis
 tical ensembles in the two domains.\n\nhttps://indico.gssi.it/event/908/
LOCATION:GSSI
URL:https://indico.gssi.it/event/908/
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