2007
DOI: 10.1088/1751-8113/40/21/005
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Invariants and polynomial identities for higher rank matrices

Abstract: We exhibit explicit expressions, in terms of components, of discriminants, determinants, characteristic polynomials and polynomial identities for matrices of higher rank. We define permutation tensors and in term of them we construct discriminants and the determinant as the discriminant of order d, where d is the dimension of the matrix. The characteristic polynomials and the Cayley-Hamilton theorem for higher rank matrices are obtained there from.

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Cited by 3 publications
(3 citation statements)
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“…The upper bound defines the most mixed state with maximum von Neumann entropy, while the lower bound specifies pure states which has zero entropy. Additionally, it is known that a k = 0 for all values of k > rank(ρ) [24].…”
Section: A Positivity Conditions For the Density Operatormentioning
confidence: 99%
“…The upper bound defines the most mixed state with maximum von Neumann entropy, while the lower bound specifies pure states which has zero entropy. Additionally, it is known that a k = 0 for all values of k > rank(ρ) [24].…”
Section: A Positivity Conditions For the Density Operatormentioning
confidence: 99%
“…which is due to the fact that the construction of an even rank tensor as the direct product of an original odd-rank tensor is the recipe to define the determinant of the odd-rank tensor [23,24,25].…”
Section: Torsional Extension To Ricci Determinantmentioning
confidence: 99%
“…( 107) is not the end for us, that is to say, we can express the Kronecker delta definitions for that term. To do this, it is enough to consider the inverse Riemann expression [23,24,25]…”
Section: Riemannian Action Based On the Affine Connectionmentioning
confidence: 99%