• DocumentCode
    1793463
  • Title

    Maximizing Rényi entropy rate

  • Author

    Bunte, Christoph ; Lapidoth, Amos

  • Author_Institution
    ETH Zurich, Zurich, Switzerland
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Of all univariate distributions on the nonnegative reals of a given mean, the distribution that maximizes the Rényi entropy is Lomax. But the memoryless Lomax stochastic process does not maximize the Rényi entropy rate: For Rényi orders smaller than one the supremum of the Rényi entropy rates is infinite, and for orders larger than one it is the differential Shannon entropy of the exponential distribution, which is the distribution that maximizes the differential Shannon entropy subject to these constraints. This is shown to be a special case of a much more general principle.
  • Keywords
    entropy; exponential distribution; optimisation; stochastic processes; Rényi entropy rate maximization; differential Shannon entropy; exponential distribution; memoryless Lomax stochastic process; univariate distributions; Electronic mail; Entropy; Joints; Probability density function; Random variables; Stochastic processes; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineers in Israel (IEEEI), 2014 IEEE 28th Convention of
  • Conference_Location
    Eilat
  • Print_ISBN
    978-1-4799-5987-7
  • Type

    conf

  • DOI
    10.1109/EEEI.2014.7005859
  • Filename
    7005859