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
Link To Document