{ "id": "1210.2004", "version": "v3", "published": "2012-10-06T21:59:42.000Z", "updated": "2015-01-15T22:05:50.000Z", "title": "Large deviations of the empirical flow for continuous time Markov chains", "authors": [ "Lorenzo Bertini", "Alessandra Faggionato", "Davide Gabrielli" ], "comment": "Minor revision, to appear on Annales de l'Institut Henri Poincare (B) Probability and Statistics", "categories": [ "math.PR" ], "abstract": "We consider a continuous time Markov chain on a countable state space and prove a joint large deviation principle for the empirical measure and the empirical flow, which accounts for the total number of jumps between pairs of states. We give a direct proof using tilting and an indirect one by contraction from the empirical process.", "revisions": [ { "version": "v2", "updated": "2012-12-31T15:12:47.000Z", "abstract": "We consider a continuous time Markov chain on a countable (finite or infinite) state space and prove a joint large deviation principle for the empirical measure and the empirical flow, which accounts for the total number of jumps between pairs of states. We give a direct proof using tilting and an undirected one by contraction from the empirical process. By projection, we recover the Donsker--Varadhan large deviation principle for the empirical measure.", "comment": "41 pages, no figures. Corrected version. Old Proposition 2.7 and related proof corrected and moved to a companion paper", "journal": null, "doi": null }, { "version": "v3", "updated": "2015-01-15T22:05:50.000Z" } ], "analyses": { "subjects": [ "60F10", "60J27", "82C05" ], "keywords": [ "continuous time markov chain", "empirical flow", "donsker-varadhan large deviation principle", "joint large deviation principle", "empirical measure" ], "note": { "typesetting": "TeX", "pages": 41, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2012arXiv1210.2004B" } } }