{ "id": "1601.03489", "version": "v1", "published": "2016-01-14T04:53:26.000Z", "updated": "2016-01-14T04:53:26.000Z", "title": "Error Bounds for Last-Block-Column-Augmented Truncations of Block-Structured Markov Chains", "authors": [ "Hiroyuki Masuyama" ], "comment": "This paper has been submitted for review", "categories": [ "math.PR" ], "abstract": "This paper considers the estimation of the difference between the time-averaged functionals of a continuous-time block-structured Markov chain (BSMC) and its last-blockcolumn-augmented northwest-corner truncation (called the LBC-augmented truncation, for short). The stationary probability vectors of a BSMC and its LBC-augmented truncation can be connected through the deviation matrix of the BSMC, which is a solution to a certain Poisson equation. Combining this fact with Dynkin's formula, we derive error bounds for the time-averaged functional obtained by LBC-augmented truncation, under the assumption that the BSMC satisfies the general f-modulated drift condition. We also establish computable bounds for a special case where the BSMC is exponentially ergodic. To derive such computable bounds for the general case, we propose a method that reduces BSMCs to be exponential ergodic. Furthermore, we focus on the level-dependent quasi-birth-and-death process (LD-QBD), which is a typical example of BSMCs connected with queueing theory. As an application of our results, we consider a retrial queueing model and provide some numerical examples. Finally, we provide some remarks on the perturbation analysis of the stationary probability vectors BSMCs.", "revisions": [ { "version": "v1", "updated": "2016-01-14T04:53:26.000Z" } ], "analyses": { "keywords": [ "error bounds", "last-block-column-augmented truncations", "lbc-augmented truncation", "stationary probability vectors bsmcs", "level-dependent quasi-birth-and-death process" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2016arXiv160103489M" } } }