IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v373y2007icp392-416.html
   My bibliography  Save this article

The characteristic function method applied to molecular dynamics of inelastic granular gases

Author

Listed:
  • Polito, Antony M.M.
  • Figueiredo, Annibal
  • da Rocha Filho, Tarcísio M.
  • Prudente, Frederico V.
  • Costa, Luis S.

Abstract

In this work we study the dissipative dynamics of a system of smooth hard spheres with a constant restitution coefficient and small number of particles in the homogeneous cooling regime. We focus on the velocity distribution from simulations in the Molecular Dynamics approach. The main goal of this paper is to present a methodology based on the application of the characteristic function technique and the so-called W function, introduced by Lévy to measure the distance of distributions from the Gaussian. We use this methodology to (i) characterize asymptotic stationary states independently of initial conditions; (ii) study the multiple dependence of these stationary states on the number of particles, density regimes and boundary conditions for a fixed restitution coefficient; (iii) discuss the existence of a limit state in the thermodynamic limit; (iv) address the open problem of the convergence of a Sonine expansion in the highly dissipative regime and (v) measure the overpopulated high energy tails. Moreover, we investigate in what sense the theoretical results related to the Enskog–Boltzmann equation can be reproduced.

Suggested Citation

  • Polito, Antony M.M. & Figueiredo, Annibal & da Rocha Filho, Tarcísio M. & Prudente, Frederico V. & Costa, Luis S., 2007. "The characteristic function method applied to molecular dynamics of inelastic granular gases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 392-416.
  • Handle: RePEc:eee:phsmap:v:373:y:2007:i:c:p:392-416
    DOI: 10.1016/j.physa.2005.12.072
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437106005814
    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.2005.12.072?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 search for a different version of it.

    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:373:y:2007:i:c:p:392-416. 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.