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M$ -Tensors and Some Applications
by
Qi, Liqun
, Zhang, Liping
, Zhou, Guanglu
in
Algorithms
/ Applied mathematics
/ Computational mathematics
/ Eigenvalues
/ Eigenvectors
/ Grants
/ Mathematical analysis
/ Spectra
/ Spectral theory
/ Tensors
2014
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Do you wish to request the book?
M$ -Tensors and Some Applications
by
Qi, Liqun
, Zhang, Liping
, Zhou, Guanglu
in
Algorithms
/ Applied mathematics
/ Computational mathematics
/ Eigenvalues
/ Eigenvectors
/ Grants
/ Mathematical analysis
/ Spectra
/ Spectral theory
/ Tensors
2014
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Journal Article
M$ -Tensors and Some Applications
2014
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Overview
We introduce$M$ -tensors. This concept extends the concept of$M$ -matrices. We denote$Z$ -tensors as the tensors with nonpositive off-diagonal entries. We show that$M$ -tensors must be$Z$ -tensors and the maximal diagonal entry must be nonnegative. The diagonal elements of a symmetric$M$ -tensor must be nonnegative. A symmetric$M$ -tensor is copositive. Based on the spectral theory of nonnegative tensors, we show that the minimal value of the real parts of all eigenvalues of an$M$ -tensor is its smallest H $^+$ -eigenvalue and also is its smallest H-eigenvalue. We show that a$Z$ -tensor is an$M$ -tensor if and only if all its H $^+$ -eigenvalues are nonnegative. Some further spectral properties of$M$ -tensors are given. We also introduce strong$M$ -tensors, and some corresponding conclusions are given. In particular, we show that all$H$ -eigenvalues of strong$M$ -tensors are positive. We apply this property to study the positive definiteness of a class of multivariate forms associated with$Z$ -tensors. We also propose an algorithm for testing the positive definiteness of such a multivariate form. [PUBLICATION ABSTRACT]
Publisher
Society for Industrial and Applied Mathematics
Subject
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