• DocumentCode
    2017667
  • Title

    On Relationship between Mutual Information and Variation

  • Author

    Prelov, V.

  • Author_Institution
    Inst. for Inf. Transm. Problems, Russian Acad. of Sci., Moscow
  • fYear
    2007
  • fDate
    24-29 June 2007
  • Firstpage
    51
  • Lastpage
    55
  • Abstract
    Investigation of a relationship between the mutual information and variational distance, started in Pinsker paper [1], where an upper bound for the mutual information via variational distance was obtained, is here continued. We present a simple lower bound which is optimal or asymptotically optimal in some cases. An uniform upper bound for the mutual information via variational distance is also derived for random variables with a finite number of values. For such random variables, the asymptotic behaviour of the maximum of mutual information is also investigated in the case where the variational distance tends to zero or to its maximum value.
  • Keywords
    entropy; random processes; asymptotic behaviour; entropy; mutual information; random variables; variational distance; Entropy; Equations; Mutual information; Random variables; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2007. ISIT 2007. IEEE International Symposium on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-1397-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2007.4557078
  • Filename
    4557078