IDEAS home Printed from https://ideas.repec.org/a/eee/spapps/v199y2026ics0304414926001250.html

Trend to equilibrium and Newtonian limit for the relativistic Langevin equation with singular potentials

Author

Listed:
  • Duong, Manh Hong
  • Nguyen, Hung Dang

Abstract

We study a system of interacting particles in the presence of the relativistic kinetic energy, external confining potentials, singular repulsive forces as well as a random perturbation through an additive white noise. In comparison with the classical Langevin equations that are known to be exponentially attractive toward the unique statistically steady states, we find that the relativistic systems satisfy algebraic mixing rates of any order. This relies on the construction of Lyapunov functions adapting to previous literature developed for irregular potentials. We then explore the Newtonian limit as the speed of light tends to infinity and establish the validity of the approximation of the solutions by the Langevin equations on any finite time window.

Suggested Citation

  • Duong, Manh Hong & Nguyen, Hung Dang, 2026. "Trend to equilibrium and Newtonian limit for the relativistic Langevin equation with singular potentials," Stochastic Processes and their Applications, Elsevier, vol. 199(C).
  • Handle: RePEc:eee:spapps:v:199:y:2026:i:c:s0304414926001250
    DOI: 10.1016/j.spa.2026.104993
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304414926001250
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spa.2026.104993?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

    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:spapps:v:199:y:2026:i:c:s0304414926001250. 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.elsevier.com/wps/find/journaldescription.cws_home/505572/description#description .

    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.