• DocumentCode
    270328
  • Title

    Total variation distance and the distribution of relative information

  • Author

    Verdú, Sergio

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
  • fYear
    2014
  • fDate
    9-14 Feb. 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    We give explicit expressions, upper and lower bounds on the total variation distance between P and Q in terms of the distribution of the random variables log dP/dQ (X) and log dP/dQ(Y), where X and Y are distributed accorκding to P and Q respectively.
  • Keywords
    information theory; random processes; lower bound; random variables; relative information distribution; total variation distance; upper bound; Entropy; Information theory; Q measurement; Random variables; US Government; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Applications Workshop (ITA), 2014
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/ITA.2014.6804281
  • Filename
    6804281
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=270328