Continuous-time monotone stochastic recursions and duality



Advances in Applied Probability

Continuous-time monotone stochastic recursions and duality

Karl Sigman and Reade Ryan

Source: Adv. in Appl. Probab. Volume 32, Number 2 (2000), 426-445.

Abstract

A duality is presented for continuous-time, real-valued, monotone, stochastic recursions driven by processes with stationary increments. A given recursion defines the time evolution of a content process (such as a dam or queue), and it is shown that the existence of the content process implies the existence of a corresponding dual risk process that satisfies a dual recursion. The one-point probabilities for the content process are then shown to be related to the one-point probabilities of the risk process. In particular, it is shown that the steady-state probabilities for the content process are equivalent to the first passage time probabilities for the risk process. A number of applications are presented that flesh out the general theory. Examples include regulated processes with one or two barriers, storage models with general release rate, and jump and diffusion processes.

Primary Subjects: 60G10, 60J60, 60J75, 60K30, 60K25
Keywords: Loynes' lemma; jump-diffusion process; reflected process; risk process; ruin probability; Siegmund duality; stationary distribution; stationary increments; storage process; two-barrier reflection

Full-text: Access denied (no subscription detected)

We're sorry, but we are unable to provide you with the full text of this article because we are not able to identify you as a subscriber.
If you have a personal subscription to this journal, then please login. If you are already logged in, then you may need to update your profile to register your subscription. Read more about accessing full-text
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aap/1013540172
Digital Object Identifier: doi:10.1239/aap/1013540172
Mathematical Reviews number (MathSciNet): MR1778573


2009 © Applied Probability Trust