• DocumentCode
    659208
  • Title

    Bounding the entropic region via information geometry

  • Author

    Yunshu Liu ; Walsh, John MacLaren

  • Author_Institution
    Dept. of ECE, Drexel Univ., Philadelphia, PA, USA
  • fYear
    2013
  • fDate
    9-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper suggests that information geometry may form a natural framework to deal with the unknown part of the boundary of entropic region. An application of information geometry shows that distributions associated with Shannon facets can be associated, in the right coordinates, with affine collections of distributions. This observation allows an information geometric reinterpretation of the Shannon-type inequalities as arising from a Pythagorean style relationship. The set of distributions which violate Ingleton´s inequality, and hence are linked with the part of the entropic region which is yet undetermined, is shown also to have a surprising affine information geometric structure in a special case involving four random variables and a certain support. These facts provide strong evidence for the link between information geometry and characterizing the boundary of the entropic region.
  • Keywords
    affine transforms; entropy; geometry; random processes; Shannon facet; Shannon-type inequality; affine distribution collection; affine information geometric structure; entropic region boundary; information geometry reinterpretation; ingleton inequality; pythagorean style relationship; random variable; Entropy; Information geometry; Joints; Manifolds; Random variables; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2013 IEEE
  • Conference_Location
    Sevilla
  • Print_ISBN
    978-1-4799-1321-3
  • Type

    conf

  • DOI
    10.1109/ITW.2013.6691331
  • Filename
    6691331