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Criteria for strong H-tensors |
Yiju WANG1,*(),Kaili ZHANG1,Hongchun SUN2 |
1. School of Management Science, Qufu Normal University, Rizhao 276800, China 2. School of Science, Linyi University, Linyi 276000, China |
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Abstract H-tensor is a new developed concept which plays an important role in tensor analysis and computing. In this paper, we explore the properties of H-tensors and establish some new criteria for strong H-tensors. In particular, based on the principal subtensor, we provide a new necessary and sufficient condition of strong H-tensors, and based on a type of generalized diagonal product dominance, we establish some new criteria for identifying strong H-tensors. The results obtained in this paper extend the corresponding conclusions for strong H-matrices and improve the existing results for strong H-tensors.
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Keywords
Strong H-tensor
generalized diagonal dominance
multilinear algebra
weak irreducibility
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Corresponding Author(s):
Yiju WANG
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Issue Date: 17 May 2016
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1 |
Barmpoutis A, Vemuri B C, Howland D, Forder J R. Regularized positive-definite fourth order tensor field estimation from DW-MRI. Neuroimage, 2009, 45: 153–162
https://doi.org/10.1016/j.neuroimage.2008.10.056
|
2 |
Barmpoutis A, Vemuri B C, Shepherd T M, Forder J R. Tensor splines for interpolation and approximation of DT-MRI with applications to segmentation of isolated rat hippocampi. Transactions on Medical Imaging, 2007, 26: 1537–1546
https://doi.org/10.1109/TMI.2007.903195
|
3 |
Basser P J, Jones D K. Diffusion-tensor MRI: theory, experimental design and data analysis—a technical review. NMR Biomed, 2002, 15: 456–467
https://doi.org/10.1002/nbm.783
|
4 |
Basser P J, Mattiello J, LeBihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo. J Magn Reson B, 1994, 103: 247–254
https://doi.org/10.1006/jmrb.1994.1037
|
5 |
Brachat J, Comon P, Mourrain B, Tsigaridas E. Symmetric tensor decomposition. Linear Algebra Appl, 2010, 433: 1851–1872
https://doi.org/10.1016/j.laa.2010.06.046
|
6 |
Chang K, Pearson K, Zhang T. Perron-Frobenius theorem for nonnegative tensors. Commun Math Sci, 2008, 6: 507–520
https://doi.org/10.4310/CMS.2008.v6.n2.a12
|
7 |
Chen H, Qi L. Positive definiteness and semi-definiteness of even order symmetric Cauchy tensors. J Ind Manag Optim, 2015, 11: 1263–1274
https://doi.org/10.3934/jimo.2015.11.1263
|
8 |
Cichocki A, Zdunek R, Huy P, Amari S. Nonnegative Matrix and Tensor Factorizations. New York: John Wiley & Sons, Ltd, 2009
https://doi.org/10.1002/9780470747278
|
9 |
De Lathauwer L, De Moor B, Vandewalle J. A multilinear singular value decomposition. SIAM J Matrix Anal Appl, 2010, 21: 1253–1278
https://doi.org/10.1137/S0895479896305696
|
10 |
Ding W, Qi L, Wei Y. M-tensors and nonsingular M-tensors. Linear Algebra Appl, 2013, 439: 3264–3278
https://doi.org/10.1016/j.laa.2013.08.038
|
11 |
Gandy S, Recht B, Yamada I. Tensor completion and low-n-rank tensor recovery via convex optimization. Inverse Problems, 2011, 27: 025010
https://doi.org/10.1088/0266-5611/27/2/025010
|
12 |
Horn R A, Johnson C R. Matrix Analysis. Cambridge: Cambridge University Press, 1985
https://doi.org/10.1017/CBO9780511810817
|
13 |
Hu S, Huang Z, Qi L. Strictly nonnegative tensors and nonnegative tensor partition. Sci China Math, 2014, 57: 181–195
https://doi.org/10.1007/s11425-013-4752-4
|
14 |
Kannan M R, Shaked-Monderer N, Berman A. Some properties of strong H-tensors and general H-tensors, Linear Algebra Appl, 2015, 476: 42–55
https://doi.org/10.1016/j.laa.2015.02.034
|
15 |
Kofidis E, Regalia P A. On the best rank-1 approximation of higher-order supersymmetric tensors, SIAM J Matrix Anal Appl, 2002, 23: 863–884
https://doi.org/10.1137/S0895479801387413
|
16 |
Kolda T G, Bader B W. Tensor decompositions and applications. SIAM Review, 2009, 51: 455–500
https://doi.org/10.1137/07070111X
|
17 |
Li C, Wang F, Zhao J, Zhu Y, Li Y. Criterions for the positive definiteness of real supersymmetric tensors. J Comput Appl Math, 2014, 255: 1–14
https://doi.org/10.1016/j.cam.2013.04.022
|
18 |
Li Y, Liu Q, Qi L. Criteria for strong H-tensor. 2015, preprint
|
19 |
Nikias C L, Mendel J M. Signal processing with higher-order spectra. IEEE Signal Processing Magazine, 1993, 10: 10–37
https://doi.org/10.1109/79.221324
|
20 |
Qi L. Eigenvalues of a real supersymmetric tensor. J Symbolic Comput, 2005, 40: 1302–1324
https://doi.org/10.1016/j.jsc.2005.05.007
|
21 |
Qi L, Yu G, Wu E X. Higher order positive semidefinite diffusion tensor imaging. SIAM J Imaging Sci, 2010, 3: 416–433
https://doi.org/10.1137/090755138
|
22 |
Qi L, Xu C, Xu Y. Nonnegative tensor factorization, completely positive tensors and a Hierarchically elimination algorithm. SIAM J Matrix Anal Appl, 2014, 35: 1227–1241
https://doi.org/10.1137/13092232X
|
23 |
Song Y, Qi L. Infinite and finite dimensional Hilbert tensors. Linear Algebra Appl, 2014, 451: 1–14
https://doi.org/10.1016/j.laa.2014.03.023
|
24 |
Song Y, Qi L. Necessary and sufficient conditions for copositive tensors. Linear Multilinear Algebra, 2015, 63: 120–131
https://doi.org/10.1080/03081087.2013.851198
|
25 |
Wang Y, Zhou G, Caccetta L. Nonsingular H-tensor and its criteria. J Ind Manag Optim, 2016, 12(4): 1173–1186
https://doi.org/10.3934/jimo.2016.12.1173
|
26 |
Yang Y, Yang Q. Further results for Perron-Frobenius theorem for nonnegative tensors. SIAM J Matrix Anal Appl, 2010, 31: 2517–2530
https://doi.org/10.1137/090778766
|
27 |
Zhang L, Qi L, Zhou G. M-tensors and some applications. SIAM J Matrix Anal Appl, 2014, 35: 437–452
https://doi.org/10.1137/130915339
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