Asymptotic Results for the Absorption Time of Telegraph Processes with Elastic Boundary at the Origin
Claudio Macci (),
Barbara Martinucci () and
Enrica Pirozzi ()
Additional contact information
Claudio Macci: Università di Roma Tor Vergata
Barbara Martinucci: Università degli Studi di Salerno
Enrica Pirozzi: Università di Napoli Federico II
Methodology and Computing in Applied Probability, 2021, vol. 23, issue 3, 1077-1096
Abstract:
Abstract We consider a telegraph process with elastic boundary at the origin studied recently in the literature (see e.g. Di Crescenzo et al. (Methodol Comput Appl Probab 20:333–352 2018)). It is a particular random motion with finite velocity which starts at x ≥ 0, and its dynamics is determined by upward and downward switching rates λ and μ, with λ > μ, and an absorption probability (at the origin) α ∈ (0,1]. Our aim is to study the asymptotic behavior of the absorption time at the origin with respect to two different scalings: x → ∞ $x\to \infty $ in the first case; μ → ∞ $\mu \to \infty $ , with λ =β μ for some β > 1 and x > 0, in the second case. We prove several large and moderate deviation results. We also present numerical estimates of β based on an asymptotic Normality result for the case of the second scaling.
Keywords: Finite velocity; Random motion; Large deviations; Moderate deviations; 60F10; 60J25; 60K15 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s11009-020-09804-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:metcap:v:23:y:2021:i:3:d:10.1007_s11009-020-09804-y
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009
DOI: 10.1007/s11009-020-09804-y
Access Statistics for this article
Methodology and Computing in Applied Probability is currently edited by Joseph Glaz
More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().