Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-16T14:59:57.609Z Has data issue: false hasContentIssue false

A Diffusion Model for a System Subject to Continuous Wear

Published online by Cambridge University Press:  27 July 2009

Laurence A. Baxter
Affiliation:
Department of Applied Mathematics and StatisticsState University of New York at Stony Brook, Stony Brook, New York 11 794
Eui Yong Lee
Affiliation:
Department of Applied Mathematics and StatisticsState University of New York at Stony Brook, Stony Brook, New York 11 794

Abstract

A model for a system whose state changes continuously with time is introduced. It is assumed that the system is modeled by Brownian motion with negative drift and an absorbing barrier at the origin. A repairman arrives according to a Poisson process and increases the state of the system by a random amount if the state is below a threshold α. Explicit expressions are deduced for the distribution function of X(t), the state of the system at time 1, if X(t) ≤ α and for the Laplace transform of the density of X( t). The stationary case is examined in detail.

Type
Articles
Copyright
Copyright © Cambridge University Press 1987

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Baxter, L.A. & Lee, E.Y. (1987). An inventory with constant demand and Poisson restocking. Probability in the Engineering and Informational Sciences 1: 203210.CrossRefGoogle Scholar
Cinlar, E. (1979). On increasing continuous processes. Stochastic Processes and their Appilcations 9: 147154.Google Scholar
Cox, D.R. & Miller, H.D. (1965). The theory of stochastic processes. London: Methuen.Google Scholar
Feller, W. (1936). Zur Theorie der stochastischen Prozesse (Existenz- und Eindeutigkeitssätze). Mat hemat ische Annaten 113: 1360.Google Scholar
Karlin, S. & Taylor, H.M. (1975). A first course in stochastic processes. 2nd ed.New York: Academic Press.Google Scholar
Ross, S.M. (1983). Stochastic processes. New York: John Wiley.Google Scholar