{ "id": "1402.2558", "version": "v1", "published": "2014-02-11T16:45:13.000Z", "updated": "2014-02-11T16:45:13.000Z", "title": "Non-homogeneous random walks on a semi-infinite strip", "authors": [ "Nicholas Georgiou", "Andrew R. Wade" ], "comment": "27 pages", "journal": "Stochastic Processes and their Applications, Vol. 124 (2014), no. 10, p. 3179-3205", "doi": "10.1016/j.spa.2014.05.005", "categories": [ "math.PR" ], "abstract": "We study the asymptotic behaviour of Markov chains $(X_n,\\eta_n)$ on $\\mathbb{Z}_+ \\times S$, where $\\mathbb{Z}_+$ is the non-negative integers and $S$ is a finite set. Neither coordinate is assumed to be Markov. We assume a moments bound on the jumps of $X_n$, and that, roughly speaking, $\\eta_n$ is close to being Markov when $X_n$ is large. This departure from much of the literature, which assumes that $\\eta_n$ is itself a Markov chain, enables us to probe precisely the recurrence phase transitions by assuming asymptotically zero drift for $X_n$ given $\\eta_n$. We give a recurrence classification in terms of increment moment parameters for $X_n$ and the stationary distribution for the large-$X$ limit of $\\eta_n$. In the null case we also provide a weak convergence result, which demonstrates a form of asymptotic independence between $X_n$ (rescaled) and $\\eta_n$. Our results can be seen as generalizations of Lamperti's results for non-homogeneous random walks on $\\mathbb{Z}_+$ (the case where $S$ is a singleton). Motivation arises from modulated queues or processes with hidden variables where $\\eta_n$ tracks an internal state of the system.", "revisions": [ { "version": "v1", "updated": "2014-02-11T16:45:13.000Z" } ], "analyses": { "subjects": [ "60J10", "60F05", "60F15", "60K15", "60K25" ], "keywords": [ "non-homogeneous random walks", "semi-infinite strip", "markov chain", "recurrence phase transitions", "increment moment parameters" ], "tags": [ "journal article" ], "note": { "typesetting": "TeX", "pages": 27, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2014arXiv1402.2558G" } } }