Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Non-homogeneous random walks on a half strip with generalized Lamperti drifts.

Lo, Chak Hei and Wade, Andrew R. (2017) 'Non-homogeneous random walks on a half strip with generalized Lamperti drifts.', Markov processes and related fields., 23 (1). pp. 125-146.

Abstract

We study a Markov chain on Undefined control sequence \RP, where Undefined control sequence \RP is the non-negative real numbers and S is a finite set, in which when the Undefined control sequence \RP-coordinate is large, the S-coordinate of the process is approximately Markov with stationary distribution πi on S. If μi(x) is the mean drift of the Undefined control sequence \RP-coordinate of the process at Undefined control sequence \RP, we study the case where ∑iπiμi(x)→0, which is the critical regime for the recurrence-transience phase transition. If μi(x)→0 for all i, it is natural to study the \emph{Lamperti\/} case where μi(x)=O(1/x); in that case the recurrence classification is known, but we prove new results on existence and non-existence of moments of return times. If μi(x)→di for di≠0 for at least some i, then it is natural to study the \emph{generalized Lamperti\/} case where μi(x)=di+O(1/x). By exploiting a transformation which maps the generalized Lamperti case to the Lamperti case, we obtain a recurrence classification and existence of moments results for the former. The generalized Lamperti case is seen to be more subtle, as the recurrence classification depends on correlation terms between the two coordinates of the process.

Item Type:Article
Full text:(AM) Accepted Manuscript
Download PDF
(324Kb)
Status:Peer-reviewed
Publisher Web site:http://math-mprf.org/journal/articles/id1455/
Date accepted:24 July 2016
Date deposited:14 October 2016
Date of first online publication:January 2017
Date first made open access:14 October 2016

Save or Share this output

Export:
Export
Look up in GoogleScholar