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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jog, V. Anantharam, V. |
| Copyright Year | 2014 |
| Description | Author affiliation: EECS, UC Berkeley, Berkeley, CA, USA (Jog, V.; Anantharam, V.) |
| Abstract | We look at irreducible continuous time Markov chains with a finite or countably infinite number of states, and a unique stationary distribution π. If the Markov chain has distribution $μ_{t}$ at time t, its relative entropy to stationarity is denoted by $h(μ_{t}|π).$ This is a monotonically decreasing function of time, and decays to 0 at an exponential rate in most natural examples of Markov chains arising in applications. In this paper, we focus on the second derivative properties of $h(μ_{t}|π).$ In particular we examine when relative entropy to stationarity exhibits convex decay, independent of the starting distribution. It has been shown that convexity of $h(μ_{t}|π)$ in a Markov chain can lead to sharper bounds on the rate of relative entropy decay, and thus on the mixing time of the Markov chain. We study certain finite state Markov chains as well as countable state Markov chains arising from stable Jackson queueing networks. |
| Sponsorship | IEEE Inf. Theory Soc. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 808640 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479930012 |
| DOI | 10.1109/CISS.2014.6814159 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-03-19 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | convex decay Jackson network relative entropy Markov processes Routing Markov chains Entropy Vectors Equations Standards Convergence |
| Content Type | Text |
| Resource Type | Article |
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