IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v191y1992i1p128-133.html
   My bibliography  Save this article

Asymptotic screening in the scale invariant growth rules for Laplacian fractals

Author

Listed:
  • Vespignani, A.
  • Cafiero, R.
  • Pietronero, L.

Abstract

A key element in the fixed scale transformation approach to fractal growth is the use of the asymptotic scale invariant dynamics of the growth process. This is a non-universal element, analogous to the critical probability or temperature in percolation or Ising problems. The essential property to generate fractal structure is the persistence of screening effects in the asymptotic regime. To investigate this problem we use a renormalization procedure in which the noise reduction parameter is the critical one. The approach is based on the growth process itself and shows a non-trivial fixed point where the screening properties are preserved. This result guarantees the existence of the asymptotic fractal structure and clearly defines the basic elements of the growth rules used in the fixed scale transformation method.

Suggested Citation

  • Vespignani, A. & Cafiero, R. & Pietronero, L., 1992. "Asymptotic screening in the scale invariant growth rules for Laplacian fractals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 191(1), pages 128-133.
    • Handle: RePEc:eee:phsmap:v:191:y:1992:i:1:p:128-133
    DOI: 10.1016/0378-4371(92)90516-S
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/037843719290516S
    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/10.1016/0378-4371(92)90516-S?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.

    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:phsmap:v:191:y:1992:i:1:p:128-133. 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.