|
|
Standard tensor and its applications in problem of singular values of tensors |
Qingzhi YANG1,2(), Yiyong LI2 |
1. School of Mathematics and Statistics, Kashi University, Kashi 844006, China 2. School of Mathematical Sciences, Nankai University, Tianjin 300071, China |
|
|
Abstract In this paper, first we give the definition of standard tensor. Then we clarify the relationship between weakly irreducible tensors and weakly irreducible polynomial maps by the definition of standard tensor. And we prove that the singular values of rectangular tensors are the special cases of the eigen-values of standard tensors related to rectangular tensors. Based on standard tensor, we present a generalized version of the weak Perron-Frobenius Theorem of nonnegative rectangular tensors under weaker conditions. Furthermore, by studying standard tensors, we get some new results of rectangular tensors. Besides, by using the special structure of standard tensors corresponding to nonnegative rectangular tensors, we show that the largest singular value is really geometrically simple under some weaker conditions.
|
Keywords
Standard tensor
nonnegative rectangular tensor
singular value
geometrically simple
|
Corresponding Author(s):
Qingzhi YANG
|
Issue Date: 22 November 2019
|
|
1 |
I M Bomze, C Ling, L Qi, X Zhang. Standard bi-quadratic optimization problems and unconstrained polynomial reformulations. J Global Optim, 2012, 52: 663–687
https://doi.org/10.1007/s10898-011-9710-5
|
2 |
K C Chang, K Pearson, T Zhang. Perron Frobenius Theorem for nonnegative tensors. Commun Math Sci, 2008, 6(2): 507–520
https://doi.org/10.4310/CMS.2008.v6.n2.a12
|
3 |
K C Chang, K Pearson, T Zhang. Primitivity, the convergence of the NQZ method, and the largest eigenvalue for nonnegative tensors. SIAM J Matrix Anal Appl, 2011, 32(3): 806–819
https://doi.org/10.1137/100807120
|
4 |
K C Chang, K Pearson, T Zhang. Some variational principles for Z-eigenvalues of non- negative tensors. Linear Algebra Appl, 2013, 438(11): 4166–4182
https://doi.org/10.1016/j.laa.2013.02.013
|
5 |
K C Chang, L Qi, T Zhang. A survey on the spectral theory of nonnegative tensors. Numer Linear Algebra Appl, 2013, 20(6): 891–912
https://doi.org/10.1002/nla.1902
|
6 |
K C Chang, L Qi, G Zhou. Singular values of a real rectangular tensor. J Math Anal Appl, 2010, 370: 284–294
https://doi.org/10.1016/j.jmaa.2010.04.037
|
7 |
K C Chang, T Zhang. Multiplicity of singular values for tensors. Commun Math Sci, 2009, 7(3): 611–625
https://doi.org/10.4310/CMS.2009.v7.n3.a5
|
8 |
G Dahl, J M Leinaas, J Myrheim, E Ovrum. A tensor product matrix approximation problem in quantum physics. Linear Algebra Appl, 2007, 420: 711–725
https://doi.org/10.1016/j.laa.2006.08.026
|
9 |
L De Lathauwer, B De Moor, J Vandewalle. On the best rank-1 and rank-(R1, R2, . . . , RN) approximation of higher-order tensors. SIAM J Matrix Anal Appl, 2000, 21(4): 1324–1342
https://doi.org/10.1137/S0895479898346995
|
10 |
S Friedland, S Gaubert, L Han. Perron-Frobenius theorem for nonnegative multilinear forms and extensions. Linear Algebra Appl, 2013, 438(2): 738–749
https://doi.org/10.1016/j.laa.2011.02.042
|
11 |
S Hu, Z Huang, L Qi. Strictly nonnegative tensors and nonnegative tensor partition. Sci China Math, 2014, 57(1): 181–195
https://doi.org/10.1007/s11425-013-4752-4
|
12 |
S Hu, L Qi. Algebraic connectivity of an even uniform hypergraph. J Comb Optim, 2012, 24: 564–579
https://doi.org/10.1007/s10878-011-9407-1
|
13 |
L H Lim. Singular values and eigenvalues of tensors: a variational approach. In: Proc of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. 2005, 129–132
|
14 |
L H Lim. Multilinear pagerank: measuring higher order connectivity in linked objects. The Internet: Today and Tomorrow, 2005
|
15 |
C Ling, X Zhang, L Qi. Semidefinite relaxation approximation for multivariate bi- quadratic optimization with quadratic constraints. Numer Linear Algebra Appl, 2011, 19: 113–131
https://doi.org/10.1002/nla.781
|
16 |
M Ng, L Qi, G Zhou. Finding the largest eigenvalue of a non-negative tensor. SIAM J Matrix Anal Appl, 2009, 31(3): 1090–1099
https://doi.org/10.1137/09074838X
|
17 |
Q Ni, L Qi, F Wang. An eigenvalue method for the positive definiteness identification problem. IEEE Trans Automat Control, 2008, 53(5): 1096–1107
https://doi.org/10.1109/TAC.2008.923679
|
18 |
K Pearson. Essentially positive tensors. Int J Algebra, 2010, 4: 421–427
|
19 |
L Qi. Eigenvalues of a real supersymmetric tensor. J Symbolic Comput, 2005, 40(6): 1302–1324
https://doi.org/10.1016/j.jsc.2005.05.007
|
20 |
L Qi, H-H Dai, D Han. Conditions for strong ellipticity and M-eigenvalues. Front Math China, 2009, 4(2): 349–364
https://doi.org/10.1007/s11464-009-0016-6
|
21 |
L Qi, W Sun, Y Wang. Numerical multilinear algebra and its applications. Front Math China, 2007, 2(4): 501–526
https://doi.org/10.1007/s11464-007-0031-4
|
22 |
Y Qi, P Comon, L H Lim. Uniqueness of nonnegative tensor approximations. IEEE Trans Inform Theory, 2016, 62(4): 2170–2183
https://doi.org/10.1109/TIT.2016.2532906
|
23 |
S Ragnarsson, C F Van Loan. Block tensors and symmetric embeddings. Linear Algebra Appl, 2013, 438(2): 853–874
https://doi.org/10.1016/j.laa.2011.04.014
|
24 |
Q Yang, Y Yang. Further results for Perron-Frobenius Theorem for nonnegative tensors II. SIAM J Matrix Anal Appl, 2011, 32(4): 1236–1250
https://doi.org/10.1137/100813671
|
25 |
Y Yang, Q Yang. Further results for PerronCFrobenius theorem for nonnegative tensors. SIAM J Matrix Anal Appl, 2010, 31(5): 2517–2530
https://doi.org/10.1137/090778766
|
26 |
Y Yang, Q Yang. Singular values of nonnegative rectangular tensors. Front Math China, 2011, 6(2): 363–378
https://doi.org/10.1007/s11464-011-0108-y
|
27 |
Y Yang, Q Yang. A note on the geometric simplicity of the spectral radius of non- negative irreducible tensor. arXiv: 1101.2479
|
28 |
X Zhang, C Ling, L Qi. Semidefinite relaxation bounds for bi-quadratic optimization problems with quadratic constraints. J Global Optim, 2010, 49: 293–311
https://doi.org/10.1007/s10898-010-9545-5
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|