• DocumentCode
    2979544
  • Title

    The entropy power of a sum is fractionally superadditive

  • Author

    Madiman, Mokshay ; Ghassemi, Farhad

  • Author_Institution
    Dept. of Stat., Yale Univ., New Haven, CT, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    295
  • Lastpage
    298
  • Abstract
    It is shown that the entropy power of a sum of independent random vectors, seen as a set function, is fractionally superadditive. This resolves a conjecture of the first author and A. R. Barron, and implies in particular all previously known entropy power inequalities for independent random variables. It is also shown that, for general dimension, the entropy power of a sum of independent random vectors is not supermodular.
  • Keywords
    entropy; random processes; vectors; entropy power inequalities; fractionally superadditive; independent random vectors; Capacity planning; Covariance matrix; Density measurement; Entropy; Information theory; Random variables; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. ISIT 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4312-3
  • Electronic_ISBN
    978-1-4244-4313-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2009.5205442
  • Filename
    5205442