BEGIN:VCALENDAR
VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Matteo Mucciconi (Tokyo Institute of Technology)
DTSTART:20210208T200000Z
DTEND:20210208T210000Z
DTSTAMP:20260423T024621Z
UID:YUAAS/22
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/YUAAS/22/">S
 ymmetric polynomials in Integrable Probability</a>\nby Matteo Mucciconi (T
 okyo Institute of Technology) as part of York University Applied Algebra S
 eminar\n\n\nAbstract\n"A number of solvable stochastic processes can be de
 scribed in terms of notable families of symmetric functions. Classical mod
 els as the last passage percolation (LPP) or the totally asymmetric simple
  exclusion process (TASEP) sample measures built on Schur polynomials. Ana
 logously\, Whittaker functions are related to solvable models of random po
 lymers as the O’Connell-Yor Polymer (OYP). \n\nIn 2015 Corwin and Petrov
  introduced the higher spin vertex model\, a family of stochastic processe
 s sitting on top of a hierarchy of models including TASEP\, LPP\, OYP and 
 of many other interesting systems including random walkers in random envir
 onment. \n\nWe find that the higher spin vertex model and all of its degen
 erations can be solved using a unifying family of symmetric functions\, th
 e spin q-Whittaker (sqW) polynomials\, a version of which was defined firs
 t by Borodin and Wheeler in 2017. Probabilistic intepretation of sqW allow
 s us to establish a number of interesting combinatorial properties along w
 ith surprising conjectural relations. Studying scaling limits of sqW we re
 cover classical objects as Schur and Grothendieck polynomials along with n
 ew families of symmetric functions.\n\nBased on a joint work with Leonid P
 etrov."\n
LOCATION:https://researchseminars.org/talk/YUAAS/22/
END:VEVENT
END:VCALENDAR
