You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Symmetric Exclusion Processes: A Comparison Inequality and a Large Deviation Result
The Annals of Probability
Vol. 13, No. 1 (Feb., 1985), pp. 53-61
Published by: Institute of Mathematical Statistics
Stable URL: http://www.jstor.org/stable/2243622
Page Count: 9
You can always find the topics here!Topics: Random walk, Markov processes, Particle interactions, Particle motion, Symmetry, Particle intensity, Trajectories, Customers, Neighborhoods, Queueing networks
Were these topics helpful?See somethings inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
We consider an infinite particle system, the simple exclusion process, which was introduced in the 1970 paper "Interaction of Markov Processes," by Spitzer. In this system, particles attempt to move independently according to a Markov kernel on a countable set of sites, but any jump which would take a particle to an already occupied site is suppressed. In the case that the Markov kernel is symmetric, an inequality by Liggett gives a comparison, for expectations of positive definite functions, between the exclusion process and a system of independent particles. We apply a special case of this inequality to an auxiliary process, to prove another comparison inequality, and to derive a large deviation result for the symmetric exclusion system. In the special case of simple random walks on Z, this result can be transformed into a large deviation result for an infinite network of queues.
The Annals of Probability © 1985 Institute of Mathematical Statistics