A matrix exponential form for hitting probabilities and its application to a Markov-modulated fluid queue with downward jumps

Author:

Miyazawa Masakiyo,Takada Hiroyuki

Abstract

We consider a fluid queue with downward jumps, where the fluid flow rate and the downward jumps are controlled by a background Markov chain with a finite state space. We show that the stationary distribution of a buffer content has a matrix exponential form, and identify the exponent matrix. We derive these results using time-reversed arguments and the background state distribution at the hitting time concerning the corresponding fluid flow with upward jumps. This distribution was recently studied for a fluid queue with upward jumps under a stability condition. We give an alternative proof for this result using the rate conservation law. This proof not only simplifies the proof, but also explains an underlying Markov structure and enables us to study more complex cases such that the fluid flow has jumps subject to a nondecreasing Lévy process, a Brownian component, and countably many background states.

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hitting times, number of jumps, and occupation times for continuous-time finite state Markov chains;Statistics & Probability Letters;2023-04

2. Stochastic Fluid Models with Upward Jumps and Phase Transitions;Methodology and Computing in Applied Probability;2023-01-31

3. Stochastic Fluid Models with Positive Jumps at Level Zero;Methodology and Computing in Applied Probability;2021-02-15

4. Stochastic Fluid Model with Jumps: The Bounded Model;International Journal of Applied and Computational Mathematics;2020-11-22

5. Markov-modulated fluid flow model with server maintenance period;Journal of the Korean Statistical Society;2020-01-01

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