Nonsingular $H$-tensor and its criteria

Yiju  Wang; Guanglu Zhou; Louis  Caccetta

doi:10.3934/jimo.2016.12.1173

Article Contents

2016, Volume 12, Issue 4: 1173-1186. Doi: 10.3934/jimo.2016.12.1173

This issue Previous Article Next Article Semidefinite programming via image space analysis

Nonsingular $H$-tensor and its criteria

1.
School of Management Science, Qufu Normal University, Rizhao Shandong, 276800
2.
Department of Mathematics and Statistics, Curtin University of Technology, West Australia, WA 6102
3.
Department of Mathematics and Statistics, Curtin University, Perth, Western Australia, 6102

Received: January 31, 2015

Revised: February 28, 2015

Published: September 2016

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Abstract

$H$-tensor is a new developed concept in tensor analysis and it is an extension of $H$-matrix and $M$-tensor. Based on the spectral theory of nonnegative tensors, several equivalent conditions of nonsingular $H$-tensors are established in the literature. However, these conditions can not be used as a criteria to identify nonsingular $H$-tensors as they are hard to verify. In this paper, based on the diagonal product dominance and $S$ diagonal product dominance of a tensor, we establish some new implementable criteria in identifying nonsingular $H$-tensors. The positive definiteness of nonsingular $H$-tensors with positive diagonal entries is also discussed in this paper. The obtained results extend the corresponding conclusions for nonsingular $H$-matrices and improve the existing results for nonsingular $H$-tensors.

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Mathematics Subject Classification: 15A69, 12E05, 12E10, 65F10.

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References

[1]	J. Brachat, P. Comon, B. Mourrain and E. Tsigaridas, Symmetric tensor decomposition, Linear Algebra Appl., 433 (2010), 1851-1872.doi: 10.1016/j.laa.2010.06.046.
[2]	K. C. Chang, K. Pearson and T. Zhang, Perron-Frobenius theorem for nonnegative tensors, Commun. Math. Science, 6 (2008), 507-520.doi: 10.4310/CMS.2008.v6.n2.a12.
[3]	H. B. Chen and L. Q. Qi, Positive definiteness and semi-definiteness of even order symmetric Cauchy tensors, J. Industrial and Management Optim., 11 (2015), 1263-1274.doi: 10.3934/jimo.2015.11.1263.
[4]	A. Cichocki, R. Zdunek, A. H. Phan and S. Amari, Nonnegative Matrix and Tensor Factorizations, John Wiley & Sons, Ltd, 2009.doi: 10.1002/9780470747278.
[5]	L. Cvetkovic, V. Kostic and R. S. Varga, A new Geršgorin-type eigenvalue inclusion set, Elec. Trans. Numer. Anal., 18 (2004), 73-80.
[6]	L. Cvetkovic and V. Kostic, New criteria for identifying $H$-matrices, J Comput. Appl. Math., 180 (2005), 265-278.doi: 10.1016/j.cam.2004.10.017.
[7]	L. De Lathauwer, B. De Moor and J. Vandewalle, A multilinear singular value decomposition, SIAM J. Matrix Anal. Appl., 21 (2000), 1253-1278.doi: 10.1137/S0895479896305696.
[8]	W. Y. Ding, L. Q. Qi and Y. M. Wei, $M$-tensors and nonsingular $M$-tensors, Linear Algebra Appl., 439 (2013), 3264-3278.doi: 10.1016/j.laa.2013.08.038.
[9]	S. Gandy, B. Recht and I. Yamada, Tensor completion and low-$n$-rank tensor recovery via convex optimization, Inverse Problems, 27 (2011), 025010, 19pp.doi: 10.1088/0266-5611/27/2/025010.
[10]	R. A. Horn and C. R. Johnson, Matrix Analysis, Cambridge University Press, 1985.doi: 10.1017/CBO9780511810817.
[11]	S. L. Hu and L. Qi, Algebraic connectivity of an even uniform hypergraph, J. Combination Optim., 24 (2012), 564-579.doi: 10.1007/s10878-011-9407-1.
[12]	S. L. Hu, Z. H. Huang, C. Ling and L. Q. Qi, On determinants and eigenvalue theory of tensors, J. Symbolic Comput., 50 (2013), 508-531.doi: 10.1016/j.jsc.2012.10.001.
[13]	S. L. Hu and L. Q. Qi, Algebraic connectivity of an even uniform hypergraph, J. Combinatorial Optim., 24 (2012), 564-579.doi: 10.1007/s10878-011-9407-1.
[14]	M. R. Kannan, N. Shaked-Monderer and A. Berman, Some properties of strong H-tensors and general H-tensors, Linear Algebra Appl., 476 (2015), 42-55.doi: 10.1016/j.laa.2015.02.034.
[15]	E. Kofidis and P. A. Regalia, On the best rank-1 approximation of higher-order supersymmetric tensors, SIAM J. Matrix Anal. Appl., 23 (2002), 863-884.doi: 10.1137/S0895479801387413.
[16]	T. G. Kolda and B. W. Bader, Tensor decompositions and applications, SIAM Review, 51 (2009), 455-500.doi: 10.1137/07070111X.
[17]	T. G. Kolda and J. R. Mayo, Shifted power method for computing tensor eigenvalues, SIAM J. Matrix Anal. Appl, 32 (2011), 1095-1124.doi: 10.1137/100801482.
[18]	C. Q. Li, F. Wang, J. X. Zhao, Y. Zhu and Y. T. Li, Criterions for the positive definiteness of real supersymmetric tensors, J. Comput. Appl. Math., 255 (2014), 1-14.doi: 10.1016/j.cam.2013.04.022.
[19]	Y. Y. Liu and F. H. Shang, An efficient matrix factorization method for tensor completion, IEEE Signal Processing Letters, 20 (2013), 307-310.doi: 10.1109/LSP.2013.2245416.
[20]	L. H. Lim, Singular value and and eigenvalue of tensors, a variational approach, in CAMSAP'05: Proceeding of the IEEE International Workshop on Computational Advances in multiSensor Adaptive Processing, 2005, 129-132.
[21]	J. Liu, P. Musialski, P. Wonka and J. P. Ye, Tensor completion for estimating missing values in visual data, IEEE Trans. on Pattern Anal. Machine Intelligence, 35 (2013), 208-220.
[22]	M. Moakher, On the averaging of symmetric positive-definite tensors, J. Elasticity, 82 (2006), 273-296.doi: 10.1007/s10659-005-9035-z.
[23]	M. Ng, L. Qi and G. Zhou, Finding the largest eigenvalue of a nonnegative tensor, SIAM J. Matrix Anal. Appl., 31 (2009), 1090-1099.doi: 10.1137/09074838X.
[24]	Q. Ni, L. Qi and F. Wang, An eigenvalue method for testing positive definiteness of a multivariate form, IEEE Trans. on Auto. Control, 53 (2008), 1096-1107.doi: 10.1109/TAC.2008.923679.
[25]	C. L. Nikias and J. M. Mendel, Signal processing with higher-order spectra, IEEE Signal Processing Magazine, 10 (1993), 10-37.doi: 10.1109/79.221324.
[26]	L. Oeding and G. Ottaviani, Eigenvectors of tensors and algorithms for Waring decomposition, J. Symbolic Comput., 54 (2013), 9-35.doi: 10.1016/j.jsc.2012.11.005.
[27]	A. M. Ostrowski, Über die Determinaanten mit überwiegender Hauptdiagonale, Comment Math. Helv., 10 (1937), 69-96.doi: 10.1007/BF01214284.
[28]	L. Q. Qi, Eigenvalues of a real supersymmetric tensor, J. Symbolic Comput., 40 (2005), 1302-1324.doi: 10.1016/j.jsc.2005.05.007.
[29]	L. Qi, J. Y. Shao and Q. Wang, Regular uniform hypergraphs, $s$-cycles, $s$-paths and their largest Laplacian H-eigenvalues, Linear Algebra Appl., 443 (2014), 215-227.doi: 10.1016/j.laa.2013.11.008.
[30]	L. Qi, C. Xu and Y. Xu, Nonnegative tensor factorization, completely positive tensors and an Hierarchically elimination algorithm, SIAM J. Matrix Anal. Appl., 35 (2014), 1227-1241.doi: 10.1137/13092232X.
[31]	Y. S. Song and L. Qi, Necessary and sufficient conditions for copositive tensors, Linear and Multilinear Algebra, 63 (2015), 120-131.doi: 10.1080/03081087.2013.851198.
[32]	Y. Song and L. Q. Qi, Infinite and finite dimensional Hilbert tensors, Linear Algebra Appl., 451 (2014), 1-14.doi: 10.1016/j.laa.2014.03.023.
[33]	Y. S. Song and L. Q. Qi, Properties of some classes of structured tensors, J. Optim. Theory Appl., 165 (2015), 854-873.doi: 10.1007/s10957-014-0616-5.
[34]	Y. Yang and Q. Yang, Further results for Perron-Frobenius theorem for nonnegative tensors, SIAM J. Matrix Anal. Appl., 31 (2010), 2517-2530.doi: 10.1137/090778766.
[35]	P. Yuan and L. You, Some remarks on $P,P_0, B$ and $B_0$ tensors, Linear Algebra Appl., 459 (2014), 511-521.doi: 10.1016/j.laa.2014.07.043.
[36]	L. P. Zhang, L. Q. Qi and G. L. Zhou, $M$-tensors and some applications, SIAM J. Matrix Anal. Appl., 35 (2014), 437-452.doi: 10.1137/130915339.
[37]	X. Z. Zhang, C. Ling and L. Qi, The best rank-1 approximation of a symmetric tensor and related spherical optimization problems, SIAM J. Matrix Anal. Appl., 33 (2012), 806-821.doi: 10.1137/110835335.