Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 36 min ago
PreprintarXiv licencearXiv

Exit problems for additive-increase and multiplicative-decrease Markov-modulated processes

Abstract

We study one-sided, two-sided and reflected exit problems for a finite-state Markov-modulated additive-increase and multiplicative-decrease process. For upward passage, a first-jump decomposition and a spatial Laplace transform lead to a recursion indexed by finite words of phases and to a convergent Green series. For downward passage, the first-jump operator is a strict contraction and the known contribution from [pi b,b] becomes an explicit boundary forcing term in the same spatial recursion. These allow to derive the corresponding Green representation of the first passage matrix and its finite-dimensional compatibility condition. The derivation of the two-sided exit identity is based on the Markov property, which in this context is equivalent to the cocycle property of the Laplace transform, together with the recursive equation at the upper level. For reflection at the running infimum, a finite p̅-geometric method of steps realizes a certain Picard map that allows to find the exit matrix. As a result, we construct a Doob martingale related to the first passage time of the reflected Markov-modulated AIMD.

Related

  1. Diameter and radius of an additive-multiplicative graph
    Yi Hu, Nan Yang
    arXivPreprintCC BY 4.0Full textAlgebra & number theoryCombinatorics & discrete mathematicsarXiv
  2. The Fibonacci numbers are not an additive uniqueness set for multiplicative functions
    Poo-Sung Park
    arXivPreprintarXiv licenceFull textAlgebra & number theoryarXiv
  3. Modeling Bipartite Dynamic Networks: An Additive and Multiplicative Effects Model
    Jing Luo
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  4. Multiplicative vs. Additive State Coupling in Learned Optimizer Schedules
    M. Harper Langston, Pierre-David Letourneau, Dalton Jones +7
    arXivPreprintCC BY-NC-ND 4.0Full textNumerical analysis & scientific computingOptimisation & controlarXiv
  5. Regularizing the Navier-Stokes Equations via Additive Type Noise plus Small Linear Multiplicative Noise
    Weiquan Chen
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsProbabilityarXiv
BibTeX
@misc{dauria2026exit,
  title = {{Exit problems for additive-increase and multiplicative-decrease Markov-modulated processes}},
  author = {Bernardo D'Auria and Zbigniew Palmowski},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.36269},
  eprint = {2609.36269},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.36269},
}
RIS
TY  - UNPB
TI  - Exit problems for additive-increase and multiplicative-decrease Markov-modulated processes
AU  - Bernardo D'Auria
AU  - Zbigniew Palmowski
PY  - 2026
DA  - 2026/09/28
PB  - arXiv
DO  - 10.48550/arxiv.2609.36269
UR  - https://arxiv.org/abs/2609.36269
AB  - We study one-sided, two-sided and reflected exit problems for a finite-state Markov-modulated additive-increase and multiplicative-decrease process. For upward passage, a first-jump decomposition and a spatial Laplace transform lead to a recursion indexed by finite words of phases and to a convergent Green series. For downward passage, the first-jump operator is a strict contraction and the known contribution from [p_i b,b] becomes an explicit boundary forcing term in the same spatial recursion. These allow to derive the corresponding Green representation of the first passage matrix and its finite-dimensional compatibility condition. The derivation of the two-sided exit identity is based on the Markov property, which in this context is equivalent to the cocycle property of the Laplace transform, together with the recursive equation at the upper level. For reflection at the running infimum, a finite p̅-geometric method of steps realizes a certain Picard map that allows to find the exit matrix. As a result, we construct a Doob martingale related to the first passage time of the reflected Markov-modulated AIMD.
ER  -