Numerical Investigation of Renormalization Group Equations in a Model of Advected Vector Field by Anisotropic Stochastic Environment

Cover Page
  • Authors: Busa J1, Hayryan EA2, Jurcisinova E3, Jurcisin M3, Remecky R3
  • Affiliations:
    1. Technical University
    2. Joint Institute for Nuclear Research
    3. Institute of Experimental Physics
  • Issue: No 4 (2009)
  • Pages: 38-46
  • Section: Articles
  • URL: http://journals.rudn.ru/miph/article/view/8477
  • Cite item

Abstract


Using the field theoretic renormalization group the influence of strong uniaxial small-scale anisotropy on the stability of inertial-range scaling regimes in a model of passively advected transverse vector field by an incompressible turbulent flow is investigated. The velocity field is taken to have a Gaussian statistics with zero mean and defined noise with finite time correlations. It is shown that the inertial-range scaling regimes are given by the existence of infrared stable fixed points of the corresponding renormalization group equations with some angle integrals. The analysis of integrals is given. The problem is solved numerically and borderline spatial dimension below which the stability of the scaling regime is not present is found as a function of anisotropy parameters.

About the authors

J Busa

Technical University

Technical University

E A Hayryan

Joint Institute for Nuclear Research

Лаборатория информационных технологий; Объединённый институт ядерных исследований; Joint Institute for Nuclear Research

E Jurcisinova

Institute of Experimental Physics

Institute of Experimental Physics

M Jurcisin

Institute of Experimental Physics

Institute of Experimental Physics

R Remecky

Institute of Experimental Physics

Institute of Experimental Physics

References

Statistics

Views

Abstract - 39

PDF (English) - 5

Cited-By



Copyright (c) 2009 Буша Я., Айрян Э.А., Юрчишинова Э., Юрчишин М., Ремецки Р.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies