IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i2p209-d1563710.html
   My bibliography  Save this article

Multi-Dimensional Markov Chains of M/G/1 Type

Author

Listed:
  • Valeriy Naumov

    (Service Innovation Research Institute, Annankatu 8 A, 00120 Helsinki, Finland)

  • Konstantin Samouylov

    (Institute of Computer Science and Telecommunications, RUDN University, 6 Miklukho-Maklaya St., Moscow 117198, Russia)

Abstract

We consider an irreducible discrete-time Markov process with states represented as ( k , i ) where k is an M -dimensional vector with non-negative integer entries, and i indicates the state (phase) of the external environment. The number n of phases may be either finite or infinite. One-step transitions of the process from a state ( k , i ) are limited to states ( n , j ) such that n ≥ k − 1 , where 1 represents the vector of all 1s. We assume that for a vector k ≥ 1 , the one-step transition probability from a state ( k , i ) to a state ( n , j ) may depend on i, j , and n − k , but not on the specific values of k and n . This process can be classified as a Markov chain of M/G/1 type, where the minimum entry of the vector n defines the level of a state ( n , j ). It is shown that the first passage distribution matrix of such a process, also known as the matrix G , can be expressed through a family of nonnegative square matrices of order n , which is a solution to a system of nonlinear matrix equations.

Suggested Citation

  • Valeriy Naumov & Konstantin Samouylov, 2025. "Multi-Dimensional Markov Chains of M/G/1 Type," Mathematics, MDPI, vol. 13(2), pages 1-14, January.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:2:p:209-:d:1563710
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/2/209/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/2/209/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Toshihisa Ozawa & Masahiro Kobayashi, 2018. "Exact asymptotic formulae of the stationary distribution of a discrete-time two-dimensional QBD process," Queueing Systems: Theory and Applications, Springer, vol. 90(3), pages 351-403, December.
    2. Toshihisa Ozawa, 2022. "Tail asymptotics in any direction of the stationary distribution in a two-dimensional discrete-time QBD process," Queueing Systems: Theory and Applications, Springer, vol. 102(1), pages 227-267, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Valeriy Naumov, 2024. "A Matrix-Multiplicative Solution for Multi-Dimensional QBD Processes," Mathematics, MDPI, vol. 12(3), pages 1-15, January.
    2. Arnaud Devos & Joris Walraevens & Herwig Bruneel, 2024. "Analysis of A Two-queue Discrete-time Model with Random Alternating Service Under High Occupancy in One Queue," Methodology and Computing in Applied Probability, Springer, vol. 26(4), pages 1-21, December.
    3. Toshihisa Ozawa, 2021. "Asymptotic properties of the occupation measure in a multidimensional skip-free Markov-modulated random walk," Queueing Systems: Theory and Applications, Springer, vol. 97(1), pages 125-161, February.
    4. Toshihisa Ozawa, 2022. "Tail asymptotics in any direction of the stationary distribution in a two-dimensional discrete-time QBD process," Queueing Systems: Theory and Applications, Springer, vol. 102(1), pages 227-267, October.
    5. Ioannis Dimitriou, 2022. "Stationary analysis of certain Markov-modulated reflected random walks in the quarter plane," Annals of Operations Research, Springer, vol. 310(2), pages 355-387, March.
    6. Yiqiang Q. Zhao, 2022. "The kernel method tail asymptotics analytic approach for stationary probabilities of two-dimensional queueing systems," Queueing Systems: Theory and Applications, Springer, vol. 100(1), pages 95-131, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:13:y:2025:i:2:p:209-:d:1563710. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.