IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v93y2020i1d10.1140_epjb_e2019-100496-y.html
   My bibliography  Save this article

Entanglement entropy of random partitioning

Author

Listed:
  • Gergő Roósz

    (Institute of Theoretical Physics, Technische Universität Dresden
    Wigner Research Centre for Physics, Institute for Solid State Physics and Optics)

  • István A. Kovács

    (Wigner Research Centre for Physics, Institute for Solid State Physics and Optics
    Northwestern University
    Central European University)

  • Ferenc Iglói

    (Wigner Research Centre for Physics, Institute for Solid State Physics and Optics
    Institute of Theoretical Physics, Szeged University)

Abstract

We study the entanglement entropy of random partitions in one- and two-dimensional critical fermionic systems. In an infinite system we consider a finite, connected (hypercubic) domain of linear extent L, the points of which with probability p belong to the subsystem. The leading contribution to the average entanglement entropy is found to scale with the volume as a(p)LD, where a(p) is a non-universal function, to which there is a logarithmic correction term, b(p)LD−1 ln L. In 1D the prefactor is given by b(p)=c/3f(p), where c is the central charge of the model and f(p) is a universal function. In 2D the prefactor has a different functional form of p below and above the percolation threshold. Graphical abstract

Suggested Citation

  • Gergő Roósz & István A. Kovács & Ferenc Iglói, 2020. "Entanglement entropy of random partitioning," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 93(1), pages 1-8, January.
  • Handle: RePEc:spr:eurphb:v:93:y:2020:i:1:d:10.1140_epjb_e2019-100496-y
    DOI: 10.1140/epjb/e2019-100496-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1140/epjb/e2019-100496-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1140/epjb/e2019-100496-y?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:spr:eurphb:v:93:y:2020:i:1:d:10.1140_epjb_e2019-100496-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.