M-tensors and nonsingular M-tensors
By Weiyang Ding, Liqun Qi, Yimin Wei. 2013
321 citations recorded by the source corpus.
Abstract The M -matrix is an important concept in matrix theory, and has many applications. Recently, this concept has been extended to higher order tensors [18] . In this paper, we establish some important properties of M -tensors and nonsingular M -tensors. An M -tensor is a Z -tensor. We show that a Z -tensor is a nonsingular M -tensor if and only if it is semi-positive. Thus, a nonsingular M -tensor has all positive diagonal entries; an M -tensor, regarding as the limit of a sequence of nonsingular M -tensors, has all nonnegative diagonal entries. We introduce even-order monotone tensors and present their spectral properties. In matrix theory, a Z -matrix is a nonsingular M -matrix if and only if it is monotone. This is no longer true in the case of higher order tensors. We show that an even-order monotone Z -tensor is an even-order nonsingular M -tensor, but not vice versa. An example of an even-order nontrivial monotone Z -tensor is also given.
Subfields: Computational Mathematics, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/8ae62a3d5f684e79ad1cbdbc05dedaf3ad952eaa
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Citations in the corpus
- Positive Definiteness and Semi-Definiteness of Even Order Symmetric Cauchy Tensors (2014, background): “In recent years, a lot of research papers on structured tensors are presented [2, 3, 4, 8, 13, 14, 15, 17, 18, 21, 22], which studied M-tensors, circulant tensors, completely positive tensors, Hankel tensors, Hilbert tensors, P tensors and B tensors.”
- An even order symmetric B tensor is positive definite (2014, background): “The properties of M and strong M tensors may be found in [4,6,29].”
- Some remarks on P, P0, B and B0 tensors (2014, background): “It was proved in [9] that a diagonally dominated Z tensor is an M tensor, and a strictly diagonally dominated Z tensor is a strongM tensor ([1, 9]), where strongM tensors are called nonsingular tensors ([1]), and Laplacian tensors of uniform hypergraphs which is defined as a natural extension of Lap”
- Properties of Tensor Complementarity Problem and Some Classes of Structured Tensors (2014, background): “For example, Zhang, Qi and Zhou [16] and Ding, Qi and Wei [17] for Mtensors, Song and Qi [18] for P-(P0)tensors and B-(B0)tensors, Qi and Song [19] for positive (semi-)definition of B-(B0)tensors, Song and Qi [20] for infinite and finite dimensional Hilbert tensors, Song and Qi [22] for structure pr”
- An S-type eigenvalue localization set for tensors (2015, methodology): “Introduction Eigenvalue problems of tensors have become an important topic of study in numerical multilinear algebra, and they have a wide range of practical applications; see [2, 3, 4, 5, 7, 8, 9, 10, 11, 17, 18, 19, 21, 22, 24, 25].”
- The Sparse Solution to $\mathcal{KS}$-Tensor Complementarity Problems (2022, unknown): “2 [37] Let A ∈ R be a Z-tensor, then the following propositions are equivalent: [(i)] 1.”
- Z-tensors and complementarity problems (2015, background): “As A has the S -tensor property (see Theorem 4.3), it follows from [7, Theorem 3] and [7, Proposition 5] that there exists a positive diagonal matrix Now we claim that for any given q ∈ R n , TCP( ¯ A , q ) has a unique solution.”
- A new eigenvalue inclusion set for tensors and its applications (2015, methodology): “Like nonnegative matrices, we can by nonnegative tensors define strong M -tensors appeared in [29], which are called nonsingular M -tensors in [30].”
- Double B-tensors and quasi-double B-tensors (2014, background): “B-tensors are linked with positive definite tensors and M-tensors, which are useful in automatical control, magnetic resonance imaging and spectral hypergraph theory [2, 3, 6, 7, 8, 9, 10, 11, 12, 13, 23, 24, 25, 26, 28, 30, 31, 33].”
- Nonsingular $H$-tensor and its criteria (2016, methodology): “To explore criteria with weaker conditions for nonsingular H-tensor, we give the following definition [8].”