• DocumentCode
    1472194
  • Title

    The Minimal Set of Ingleton Inequalities

  • Author

    Guillé, Laurent ; Chan, Terence ; Grant, Alex

  • Author_Institution
    Ecole Nat. Super. des Telecommun. (ENST), France
  • Volume
    57
  • Issue
    4
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    1849
  • Lastpage
    1864
  • Abstract
    The Ingleton inequalities are the inequality constraints known to be required of representable matroids. For a matroid of n elements, there are 16n Ingleton inequalities. In this paper, we show that many of these inequalities are redundant. We explicitly determine the unique minimal set of Ingleton inequalities, which number on the order of 6n/4- O(5n). In information theory, these inequalities are required of the entropy functions of certain random variables constructed from linear subspaces. As a result, these inequalities appear as constraints in linear programming outer bounds for the capacity region of multisource network coding where the codes are required to be linear. Ingleton inequalities have also played an instrumental role in demonstrating the insufficiency of linear codes for multisource network coding. The reduction that we obtain for Ingleton inequalities is sufficiently large to meaningfully reduce the complexity of these linear programming bounds.
  • Keywords
    entropy codes; linear codes; linear programming; matrix algebra; network coding; set theory; source coding; Ingleton inequality constraint; entropy function; linear code; linear programming; linear subspace; minimal set; multisource network coding; random variable; representable matroids; Context; Cramer-Rao bounds; Entropy; Network coding; Random variables; Vectors; Entropy functions; Ingleton inequalities; Shannon inequalities;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2111890
  • Filename
    5730560