IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v674y2025ics0378437125004169.html
   My bibliography  Save this article

Power Levy motion: Correlations and relaxation

Author

Listed:
  • Eliazar, Iddo

Abstract

Recently established, Power Levy Motion (PLM) is a versatile Levy-driven model for pure-jump diffusion processes. On the one hand, PLM displays a host of anomalous-diffusion properties. On the other hand, PLM is highly tractable, and it has several neat representations. PLM is the ‘Levy counterpart’ of Power Brownian Motion (PBM): the only diffusion process that is Gaussian, Markovian, and selfsimilar. This paper explores PLM correlations: it devises three extensions of corresponding PBM correlations; and it devises Poissonian correlations that emanate from the PLM jump-structure. Further exploring the jump-structure, the paper also unveils the inherent ‘relaxation duration’ of PLM. The correlation and relaxation results established here are for a general spatio-temporal transformation of Levy Motion. In particular, the general results apply to PLM, as well as to the Lamperti transformation of PLM — the Levy-driven Ornstein-Uhlenbeck process.

Suggested Citation

  • Eliazar, Iddo, 2025. "Power Levy motion: Correlations and relaxation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 674(C).
  • Handle: RePEc:eee:phsmap:v:674:y:2025:i:c:s0378437125004169
    DOI: 10.1016/j.physa.2025.130764
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437125004169
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2025.130764?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:phsmap:v:674:y:2025:i:c:s0378437125004169. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.