Journal
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS
Volume 325, Issue 2, Pages 1363-1377Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jmaa.2006.02.071
Keywords
eigenvalue; tensor; invariant; supermatrix; rank
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A tensor is represented by a supermatrix under a co-ordinate system. In this paper, we define E-eigenvalues and E-eigenvectors for tensors and supermatrices. By the resultant theory, we define the E-characteristic polynomial of a tensor. An E-eigenvalue of a tensor is a root of the E-characteristic polynomial. In the regular case, a complex number is an E-eigenvalue if and only if it is a root of the E-characteristic polynomial. We convert the E-characteristic polynomial of a tensor to a monic polynomial and show that the coefficients of that monic polynomial are invariants of that tensor, i.e., they are invariant under co-ordinate system changes. We call them principal invariants of that tensor. The maximum number of principal invariants of mth order n-dimensional tensors is a function of m and n. We denote it by d(m, n) and show that d(1,n) = 1, d(2,n) =n, d(m,2) =m form >= 3 and d(m,n) <= m(n-1) +...+m for m,n >= 3. We also define the rank of a tensor. All real eigenvectors associated with nonzero E-eigenvalues are in a subspace with dimension equal to its rank. (c) 2006 Elsevier Inc. All rights reserved.
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