• DocumentCode
    2944465
  • Title

    Cayley´s hyperdeterminant, the principal minors of a symmetric matrix and the entropy region of 4 Gaussian random variables

  • Author

    Shadbakht, Sormeh ; Hassibi, Babak

  • Author_Institution
    Electr. Eng. Dept., California Inst. of Technol., Pasadena, CA
  • fYear
    2008
  • fDate
    23-26 Sept. 2008
  • Firstpage
    185
  • Lastpage
    190
  • Abstract
    It has recently been shown that there is a connection between Cayley´s hypdeterminant and the principal minors of a symmetric matrix. With an eye towards characterizing the entropy region of jointly Gaussian random variables, we obtain three new results on the relationship between Gaussian random variables and the hyperdeterminant. The first is a new (determinant) formula for the 2times2times2 hyperdeterminant. The second is a new (transparent) proof of the fact that the principal minors of an ntimesn symmetric matrix satisfy the 2 times 2 times .... times 2 (n times) hyperdeterminant relations. The third is a minimal set of 5 equations that 15 real numbers must satisfy to be the principal minors of a 4 times 4 symmetric matrix.
  • Keywords
    Gaussian processes; computational complexity; entropy; matrix algebra; random processes; Cayley hyperdeterminant; Gaussian random variables; entropy region; symmetric matrix; Capacity planning; Contracts; Covariance matrix; Cramer-Rao bounds; Entropy; Equations; Information theory; Probability distribution; Random variables; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing, 2008 46th Annual Allerton Conference on
  • Conference_Location
    Urbana-Champaign, IL
  • Print_ISBN
    978-1-4244-2925-7
  • Electronic_ISBN
    978-1-4244-2926-4
  • Type

    conf

  • DOI
    10.1109/ALLERTON.2008.4797553
  • Filename
    4797553