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UID:20260626T060021EDT-35814Vhj8i@132.216.98.100
DTSTAMP:20260626T100021Z
DESCRIPTION:Informal Systems Seminar (ISS)\n	Centre for Intelligent Machines
  (CIM) and Groupe d'Etudes et de Recherche en Analyse des Decisions (GERAD
 )\n\nSpeaker: Jiamin Jian\n\nZoom Link\n	Meeting ID: 845 1388 1004       \n
 	Passcode: VISS\n\nAbstract:\n\nThis work focuses on exploring the converge
 nce properties of a generic player’s trajectory and empirical measures in 
 an N-player Linear-Quadratic-Gaussian Nash game\, where Brownian motion se
 rves as the common noise. We establish three distinct convergence rates co
 ncerning the representative player and empirical measure. To investigate t
 he convergence\, the methodology relies on a specific decomposition of the
  equilibrium path in the N-player game and utilizes the associated mean fi
 eld game framework. It is a joint work with Prof. Qingshuo Song and Dr. Ji
 axuan Ye.\n	\n	\n	Bio:\n\nJiamin Jian is a Ph.D. candidate in Department of M
 athematical sciences at Worcester Polytechnic Institute under the supervis
 ion of Prof. Qingshuo Song. His research interest includes stochastic cont
 rol\, mean field games and financial mathematics. Before that\, He got the
  Master’s degree in Mathematical Finance and Statistics from City Universi
 ty of Hong Kong in 2019 and the Bachelor’s degrees in Mathematics and Appl
 ied Mathematics from Nankai University in 2018.\n	 \n
DTSTART:20240216T153000Z
DTEND:20240216T163000Z
LOCATION:Zames Seminar Room\, MC 437\, McConnell Engineering Building\, CA\
 , QC\, Montreal\, H3A 0E9\, 3480 rue University
SUMMARY:Convergence of the equilibrium measure for LQG mean field games wit
 h common noise
URL:/cim/channels/event/convergence-equilibrium-measur
 e-lqg-mean-field-games-common-noise-355309
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