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UID:www.tcs.tifr.res.in/event/524
DTSTAMP:20230914T125928Z
SUMMARY:Convex Relative Entropy Decay in Markov Chains
DESCRIPTION:Speaker: Venkat Anantharam (University of California\, Berkeley
 \nDepartment of Electrical and\nComputer Sciences\n271\, Coray Hall\nBerke
 ley\, CA 94720-1770\nUnited States of America)\n\nAbstract: \nAbstract: Co
 nsider an irreducible continuous time Markov chain with a finite or a coun
 tably infinite number of states and admitting a unique stationary probabil
 ity distribution. The relative entropy of the distribution of the chain at
  any time with respect to the stationary distribution is a monotonically d
 ecreasing function of time. It is interesting to ask if this function is c
 onvex. We discuss this question for finite Markov chains and for Jackson n
 etworks\, which are a class of countable state Markov chains of interest i
 n modelingnetworks of queues (joint work with Varun Jog).\n
URL:https://www.tcs.tifr.res.in/web/events/524
DTSTART;TZID=Asia/Kolkata:20140805T160000
DTEND;TZID=Asia/Kolkata:20140805T170000
LOCATION:D-405 (D-Block Seminar Room)
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