Cayley的超行列式,对称矩阵的主次式和4高斯随机变量的熵区

S. Shadbakht, B. Hassibi
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引用次数: 14

摘要

最近已经证明在Cayley的行列式和对称矩阵的主次行列式之间有联系。针对联合高斯随机变量的熵域特征,我们得到了高斯随机变量与超行列式之间关系的三个新结果。第一个是2乘2乘2超行列式的新(行列式)公式。第二个是一个新的(透明的)证明,证明了一个时对称矩阵的主次矩阵满足2 × 2 × ....乘以2 (n)倍的超行列式关系。第三个是5个方程的最小集合,其中15个实数必须满足,才能成为4乘以4对称矩阵的主副矩阵。
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Cayley's hyperdeterminant, the principal minors of a symmetric matrix and the entropy region of 4 Gaussian random variables
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.
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