Jordan canonical form of three-way tensor with multilinear rank (4,4,3)

Lubin Cui , Minghui Li

Front. Math. China ›› 2019, Vol. 14 ›› Issue (2) : 281 -300.

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Front. Math. China ›› 2019, Vol. 14 ›› Issue (2) : 281 -300. DOI: 10.1007/s11464-019-0747-y
RESEARCH ARTICLE
RESEARCH ARTICLE

Jordan canonical form of three-way tensor with multilinear rank (4,4,3)

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Abstract

The Jordan canonical form of matrix is an important concept in linear algebra. And the concept has been extended to three-way arrays case. In this paper, we study the Jordan canonical form of three-way tensor with multilinear rank (4,4,3). For a 4×4×4 tensor Gj with multilinear rank (4,4,3), we show that Gj must be turned into the canonical form if the upper triangular entries of the last three slices of Gj are nonzero. If some of the upper triangular entries of the last three slices of Gj are zeros, we give some conditions to guarantee that Gj can be turned into the canonical form.

Keywords

Jordan canonical form / tensor decomposition / multilinear rank

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Lubin Cui, Minghui Li. Jordan canonical form of three-way tensor with multilinear rank (4,4,3). Front. Math. China, 2019, 14(2): 281-300 DOI:10.1007/s11464-019-0747-y

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References

[1]

Acar E, Yener B. Unsupervised multiway data analysis: A literature survey. IEEE Trans Knowledge Data Eng, 2009, 21(1): 6–20

[2]

Bro R. Parafac—Tutorial and applications. Chemometr Intell Lab, 1997, 38(2): 149–171

[3]

Bro R. Review on multiway analysis in chemistry. Crit Rev Anal Chem, 2006, 36(3-4): 279–293

[4]

Cui L, Chen C, Li W, Ng M K. An eigenvalue problem for even order tensors with its applications. Linear Multilinear Algebra, 2016, 64(4): 602–621

[5]

Cui L, Li M. A note on the three-way generalization of the Jordan canonical form. Open Math, 2018, 16: 897–912

[6]

Cui L, Li W, Ng M. Primitive tensors and directed hypergraphs. Linear Algebra Appl, 2015, 471: 96–108

[7]

Kolda T, Bader B. Tensor decompositions and applications. SIAM Rev, 2009, 51(3): 455–500

[8]

Krijnen W, Dijkstra T, Stegeman A. On the non-existence of optimal solutions and the occurrence of \degeneracy" in the CANDECOMP/PARAFAC model. Psychometrika, 2008, 73(3): 431–439

[9]

Lathauwer L. Decompositions of a higher-order tensor in block terms—Part I: Lemmas for partitioned matrices. SIAM J Matrix Anal Appl, 2008, 30(3): 1022–1032

[10]

Lathauwer L. Decompositions of a higher-order tensor in block terms—Part II: Definitions and uniqueness. SIAM J Matrix Anal Appl, 2008, 30(3): 1033–1066

[11]

Lathauwer L. Decompositions of a higher-order tensor in block terms—Part III: Alternating least squares algorithms. SIAM J Matrix Anal Appl, 2008, 30(3): 1067–1083

[12]

Lathauwer L, Moor B, Vandewalle J. A multilinear singular value decomposition. SIAM J Matrix Anal Appl, 2000, 21: 1253–1278

[13]

Ng M, Qi L, Zhou G. Finding the largest eigenvalue of a nonnegative tensor. SIAM J Matrix Anal Appl, 2009, 31: 1090–1099

[14]

Qi L, Luo Z. Tensor Analysis: Spectral Theory and Special Tensors. Philadelphia: SIAM, 2017

[15]

Qi L, Sun W, Wang Y. Numerical multilinear algebra and its applications. Front Math China, 2007, 2(4): 501–526

[16]

Sidiropoulos N, Bro R, Giannakis G. Parallel factor analysis in sensor array processing. IEEE Trans Signal Process, 2000, 48(8): 2377–2388

[17]

Silva V, Lim L. Tensor rank and the ill-posedness of the best low-rank approximation problem. SIAM J Matrix Anal Appl, 2008, 30(3): 1084–1127

[18]

Stegeman A. Candecomp/Parafac: From diverging components to a decomposition in block terms. SIAM J Matrix Anal Appl, 2012, 33: 291–316

[19]

Stegeman A. A three-way Jordan canonical form as limit of low-rank tensor approximations. SIAM J Matrix Anal Appl, 2013, 34: 624–625

[20]

Vasilescu M, Terzopoulos D. Multilinear image analysis for facial recognition. In: Object recognition supported by user interaction for service robots, Quebec City, Quebec, Canada, 2002, Vol 2. 2002, 511–514

[21]

Vasilescu M, Terzopoulos D. TensorTextures: Multilinear image-based rendering. ACM Trans Graphics, 2004, 23(3): 336–342

[22]

de Vos M, de Lathauwer L, Vanrumste B, van Huffel S, van Paesschen W. Canonical decomposition of ictal scalp EEG and accurate source localisation: Principles and simulation study. Comput Intell Neurosci, 2007, 2007: 1–10

[23]

de Vos M, Vergult A, de Lathauwer L, de Clercq W, van Huffel S, Dupont P, Palmini A, van Paesschen W. Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone. NeuroImage, 2007, 37(3): 844–854

[24]

Yang Y, Yang Q. A Study on Eigenvalues of Higher-Order Tensors and Related Polynomial Optimization Problems. Beijing: Science Press, 2015

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