Generalized inverses of tensors via a general product of tensors

We define the {i}-inverse (i = 1, 2, 5) and group inverse of tensors based on a general product of tensors. We explore properties of the generalized inverses of tensors on solving tensor equations and computing formulas of block tensors. We use the {1}-inverse of tensors to give the solutions of a multilinear system represented by tensors. The representations for the {1}-inverse and group inverse of some block tensors are established.

[1]  Tan Zhang,et al.  Primitivity, the Convergence of the NQZ Method, and the Largest Eigenvalue for Nonnegative Tensors , 2011, SIAM Journal on Matrix Analysis and Applications.

[2]  Haiping Lu,et al.  Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data , 2013 .

[3]  R. E. Hartwig,et al.  Group inverses and Drazin inverses of bidiagonal and triangular Toeqlitz matrices , 1977, Journal of the Australian Mathematical Society.

[4]  Joshua N. Cooper,et al.  Spectra of Uniform Hypergraphs , 2011, 1106.4856.

[5]  Yimin Wei,et al.  Weighted Moore-Penrose inverses and fundamental theorem of even-order tensors with Einstein product , 2017 .

[6]  Adi Ben-Israel,et al.  Generalized inverses: theory and applications , 1974 .

[7]  J. Shao A general product of tensors with applications , 2012, 1212.1535.

[8]  S. Campbell The Drazln inverse and systems of second order linear differential equations , 1983 .

[9]  Nikos D. Sidiropoulos,et al.  Tensor Decomposition for Signal Processing and Machine Learning , 2016, IEEE Transactions on Signal Processing.

[10]  Liqun Qi,et al.  Eigenvalues of a real supersymmetric tensor , 2005, J. Symb. Comput..

[11]  Changjiang Bu,et al.  The inverse, rank and product of tensors , 2014 .

[12]  P. Kroonenberg Applied Multiway Data Analysis , 2008 .

[13]  Yousef Saad,et al.  On the Tensor SVD and the Optimal Low Rank Orthogonal Approximation of Tensors , 2008, SIAM J. Matrix Anal. Appl..

[14]  Debasisha Mishra,et al.  Further results on generalized inverses of tensors via the Einstein product , 2016, 1604.02675.

[15]  Yi-min Wei,et al.  Generalized Inverses of Matrices , 2013 .

[16]  Minghao Chen,et al.  Tensor extreme learning design via generalized Moore–Penrose inverse and triangular type-2 fuzzy sets , 2019, Neural Computing and Applications.

[17]  Wen Li,et al.  On the inverse of a tensor , 2016 .

[18]  Bryan L. Shader,et al.  On a bound on algebraic connectivity: the case of equality , 1998 .

[19]  Michael Shub,et al.  On the Geometry and Topology of the Solution Variety for Polynomial System Solving , 2012, Found. Comput. Math..

[20]  J. Shao,et al.  On some properties of three different types of triangular blocked tensors , 2016, 1604.08442.

[21]  C. D. Meyer,et al.  Generalized inverses of linear transformations , 1979 .

[22]  Yimin Wei,et al.  The Drazin inverse of an even-order tensor and its application to singular tensor equations , 2018, Comput. Math. Appl..

[23]  Changjiang Bu,et al.  Minimum (maximum) rank of sign pattern tensors and sign nonsingular tensors , 2015 .

[24]  L. Qi,et al.  Tensor Analysis: Spectral Theory and Special Tensors , 2017 .

[25]  J. Hunter Generalized inverses of Markovian kernels in terms of properties of the Markov chain , 2012, 1209.3533.

[26]  Chen Ling,et al.  On determinants and eigenvalue theory of tensors , 2013, J. Symb. Comput..

[27]  Na Li,et al.  Solving Multilinear Systems via Tensor Inversion , 2013, SIAM J. Matrix Anal. Appl..

[28]  Changjiang Bu,et al.  Moore–Penrose inverse of tensors via Einstein product , 2016 .

[29]  L. Qi,et al.  Nonnegative tensors revisited: plane stochastic tensors , 2019 .

[30]  Changjiang Bu,et al.  Brualdi-type eigenvalue inclusion sets of tensors , 2015 .

[31]  Changjiang Bu,et al.  Some results on resistance distances and resistance matrices , 2015 .

[32]  Yimin Wei,et al.  Solving Multi-linear Systems with $$\mathcal {M}$$M-Tensors , 2016, J. Sci. Comput..

[33]  Xiaoyan Zhang,et al.  The Fiedler Vector of a Laplacian Tensor for Hypergraph Partitioning , 2017, SIAM J. Sci. Comput..