2014
DOI: 10.1239/jap/1421763333
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Potential Measures of One-Sided Markov Additive Processes with Reflecting and Terminating Barriers

Abstract: Consider a one-sided Markov additive process with an upper and a lower barrier, where each can be either reflecting or terminating. For both defective and nondefective processes, and all possible scenarios, we identify the corresponding potential measures, which help to generalize a number of results for one-sided Lévy processes. The resulting rather neat formulae have various applications in risk and queueing theories, and, in particular, they lead to quasistationary distributions of the corresponding process… Show more

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Cited by 15 publications
(5 citation statements)
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References 27 publications
(64 reference statements)
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“…This is because none of the existing proofs employ compound Poisson approximations of Y . See for example [39] which uses martingale arguments, [40] using Itô excursion theory and [41] using potential theory, and we refer to [27,42,43,44] for further discussions of these known results and proofs. Also worth highlighting that several key steps of our proof are not tied to the one-sidedness of our processes.…”
Section: Forward Generatormentioning
confidence: 99%
“…This is because none of the existing proofs employ compound Poisson approximations of Y . See for example [39] which uses martingale arguments, [40] using Itô excursion theory and [41] using potential theory, and we refer to [27,42,43,44] for further discussions of these known results and proofs. Also worth highlighting that several key steps of our proof are not tied to the one-sidedness of our processes.…”
Section: Forward Generatormentioning
confidence: 99%
“…This is remarkable because before the embedding procedure the approximating processes are not Feller, and the domain of the generators in Table 1 is not smooth. Moreover it is natural to expect that this technique is extendable to fast-forwarded non-recurrent Y , Robin and other mixed boundary conditions, to other Lévy processes such as α-stable processes in 1-dimension [41,42], and possibly to general one-sided Markov additive processes [43] and higher dimensions. These extensions are indeed part of our current investigations.…”
Section: Grünwald Type Approximationsmentioning
confidence: 99%
“…Proof. [of Theorem 4.10] Recall the matrix (63), definition (43) and that h(n+1) = 2. By Lemmata 3.19 and 3.14,…”
Section: Appendixmentioning
confidence: 99%
See 1 more Smart Citation
“…An alternative approach is to use fluid embedding of PH jumps to arrive at a second order fluid flow model (Markov modulated Brownian motion) and to treat the given problem in that context, see Asmussen et al (2004); Mordecki (2002). Indeed, there is a well-developed theory for such models (Asmussen, 1995;Ivanovs, 2010), as well as for much more general one-sided Markov additive processes (Ivanovs and Palmowski, 2012;Ivanovs, 2014). This, however, requires dealing with matrix calculus, partitioning of phases, and various further complications, not to mention a certain necessary experience.…”
Section: Introductionmentioning
confidence: 99%