Journal
JOURNAL OF APPLIED PROBABILITY
Volume 60, Issue 1, Pages 85-105Publisher
CAMBRIDGE UNIV PRESS
DOI: 10.1017/jpr.2022.27
Keywords
Exit times; first passage times; additive-increase and multiplicative-decrease process; growth-collapse process; Laplace-Stieltjes transform; first-step analysis; queueing process; storage; AIMD algorithm
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This article analyzes a process that grows linearly in time and experiences downward jumps at Poisson epochs. Exit problems from fixed intervals and half-lines are considered, and explicit formulas for Laplace transforms are given using a unified first-step analysis approach.
We analyse an additive-increase and multiplicative-decrease (also known as growth-collapse) process that grows linearly in time and that, at Poisson epochs, experiences downward jumps that are (deterministically) proportional to its present position. For this process, and also for its reflected versions, we consider one- and two-sided exit problems that concern the identification of the laws of exit times from fixed intervals and half-lines. All proofs are based on a unified first-step analysis approach at the first jump epoch, which allows us to give explicit, yet involved, formulas for their Laplace transforms. All eight Laplace transforms can be described in terms of two so-called scale functions associated with the upward one-sided exit time and with the upward two-sided exit time. All other Laplace transforms can be obtained from the above scale functions by taking limits, derivatives, integrals, and combinations of these.
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