Reducible solution to a quaternion tensor equation

Mengyan XIE, Qing-Wen WANG

PDF(325 KB)
PDF(325 KB)
Front. Math. China ›› 2020, Vol. 15 ›› Issue (5) : 1047-1070. DOI: 10.1007/s11464-020-0865-6
RESEARCH ARTICLE
RESEARCH ARTICLE

Reducible solution to a quaternion tensor equation

Author information +
History +

Abstract

We establish necessary and sufficient conditions for the existence of the reducible solution to the quaternion tensor equation A*NX*NB=Cvia Einstein product using Moore-Penrose inverse, and present an expression of the reducible solution to the equation when it is solvable. Moreover, to have a general solution, we give the solvability conditions for the quaternion tensor equation A1*NX1*MB1+A1*NX2*MB2+A2*NX3*MB2=C, which plays a key role in investigating the reducible solution to A*NX*NB=C. The expression of such a solution is also presented when the consistency conditions are met. In addition, we show a numerical example to illustrate this result.

Keywords

Quaternion tensor / quaternion tensor equation / Einstein product / Moore-Penrose inverse / general solution / reducible solution

Cite this article

Download citation ▾
Mengyan XIE, Qing-Wen WANG. Reducible solution to a quaternion tensor equation. Front. Math. China, 2020, 15(5): 1047‒1070 https://doi.org/10.1007/s11464-020-0865-6

References

[1]
Artzouni M, Gouteux J P. A parity-structured matrix model for tsetse populations. Math Biosci, 2006, 204(2): 215–231
CrossRef Google scholar
[2]
Bader B W, Kolda T G. Algorithm 862: MATLAB tensor classes for fast algorithm prototyping. ACM Trans Math Software, 2006, 32(4): 635–653
CrossRef Google scholar
[3]
Behera R, Mishra D. Further results on generalized inverses of tensors via the Einstein product, Linear Multilinear Algebra, 2017, 65(8): 1662–1682
CrossRef Google scholar
[4]
Ben-Israel A, Greville T N E. Generalized Inverses: Theory and Applications. New York: McGraw-Hill, 1974
[5]
Bihan N L, Mars J. Singular value decomposition of quaternion matrices: A new tool for vector-sensor signal processing. Signal Process, 2004, 84(7): 1177–1199
CrossRef Google scholar
[6]
Bouldin R. The pseudo-inverse of a product. SIAM J Appl Math, 1973, 24(4): 489–495
CrossRef Google scholar
[7]
Brazell M, Li N, Navasca C, Tamon C. Solving multilinear systems via tensor inversion. SIAM J Matrix Anal Appl, 2013, 34(2): 542–570
CrossRef Google scholar
[8]
Chang K C, Pearson K, Zhang T. Perron-Frobenius theorem for nonnegative tensors. Commun Math Sci, 2008, 6(2): 507–520
CrossRef Google scholar
[9]
Chen Z, Lu L Z. A projection method and Kronecker product preconditioner for solving Sylvester tensor equations. Sci China Math, 2012, 55(6): 1281–1292
CrossRef Google scholar
[10]
Cvetković-Ilića D, Wang Q W, Xu Q X. Douglas’ + Sebestyén’s lemmas= a tool for solving an operator equation problem. J Math Anal Appl, 2019, 482(2): 123599
CrossRef Google scholar
[11]
Ding W, Qi L, Wei Y. Fast Hankel tensor-vector product and its application to exponential data fitting. Numer Linear Algebra Appl, 2015, 22(5): 814–832
CrossRef Google scholar
[12]
Ding W, Qi L, Wei Y. Inheritance properties and sum-of-squares decomposition of Hankel tensors: theory and algorithms. BIT, 2017, 57(1): 169–190
CrossRef Google scholar
[13]
Einstein A. The foundation of the general theory of relativity. Ann Phys, 1916, 49(7): 769–822
CrossRef Google scholar
[14]
Guan Y, Chu D L. Numerical computation for orthogonal low-rank approximation of tensors. SIAM J Matrix Anal Appl, 2019, 40(3): 1047–1065
CrossRef Google scholar
[15]
Guan Y, Chu M T, Chu D L. Convergence analysis of an SVD-based algorithm for the best rank-1 tensor approximation. Linear Algebra Appl, 2018, 555: 53–69
CrossRef Google scholar
[16]
Guan Y, Chu M T, Chu D L. SVD-based algorithms for the best rank-1 approximation of a symmetric tensor. SIAM J Matrix Anal Appl, 2018, 39(3): 1095–1115
CrossRef Google scholar
[17]
Hamilton W R. Elements of Quaternions. Cambridge: Cambridge Univ Press, 1866
[18]
He Z H. The general solution to a system of coupled Sylvester-type quaternion tensor equations involving ŋ-Hermicity. Bull Iranian Math Soc, 2019, 45: 1407–1430
CrossRef Google scholar
[19]
He Z H, Navasca C, Wang Q W. Tensor decompositions and tensor equations over quaternion algebra. arXiv: 1710.07552
[20]
He Z H, Wang Q W. The ŋ-bihermitian solution to a system of real quaternion matrix equations. Linear Multilinear Algebra, 2014, 62(11): 1509–1528
CrossRef Google scholar
[21]
Huang G X, Yin F, Guo K. An iterative method for the skew-symmetric solution and the optimal approximate solution of the matrix equation AXB = C. J Comput Appl Math, 2008, 212(2): 231–244
[22]
Kirkland S J, Neumann M, Xu J H. Transition matrices for well-conditioned Markov chains. Linear Algebra Appl, 2007, 424(1): 118–131
CrossRef Google scholar
[23]
Kolda T G, Bader B W. Tensor decompositions and applications. SIAM Rev, 2009, 51(3): 455–500
CrossRef Google scholar
[24]
Lai W M, Rubin D H, Krempl E. Introduction to continuum mechanics. Burlington: Butterworth-Heinemann/Elsevier, 2009
CrossRef Google scholar
[25]
Lei J Z, Wang C Y. On the reducibility of compartmental matrices. Comput Biol Med, 2008, 38(8): 881–885
CrossRef Google scholar
[26]
Leo S D, Scolarici G. Right eigenvalue equation in quaternionic quantum mechanics. J Phys A, 2000, 33(15): 2971–2995
CrossRef Google scholar
[27]
Li L, Zheng B D. Sensitivity analysis of the Lyapunov tensor equation. Linear Multilinear Algebra, 2019, 67(3): 555–572
CrossRef Google scholar
[28]
Li L, Zheng B D, Tian Y B. Algebraic Lyapunov and Stein stability results for tensors. Linear Multilinear Algebra, 2018, 66(4): 731–741
CrossRef Google scholar
[29]
Li T, Wang Q W, Duan X F. Numerical algorithms for solving discrete Lyapunov tensor equation. J Comput Appl Math, 2019, 370: 112676
CrossRef Google scholar
[30]
Li T, Wang Q W, Zhang X F. Hermitian and skew-Hermitian splitting methods for solving a tensor equation. Int J Comput Math, https://doi.org/10.1080/00207160.2020.1815717
CrossRef Google scholar
[31]
Liang M L, Zheng B, Zhao R J. Tensor inversion and its application to tensor equation with Einstein product. Linear Multilinear Algebra, 2019, 67(4): 843–870
CrossRef Google scholar
[32]
Liao A P, Bai Z Z. Least-squares solution of AXB = D over symmetric positive semi-definite matrices X. J Comput Math, 2003 21: 175–182
[33]
Liao A P, Bai Z Z, Lei Y. Best approximate solution of matrix equation AXB+CY D =E. SIAM J Matrix Anal Appl, 2005, 27(3): 675–688
CrossRef Google scholar
[34]
Nie X R, Wang Q W, Zhang Y. A system of matrix equations over the quaternion algebra with applications. Algebra Colloq, 2017, 24(2): 233–253
CrossRef Google scholar
[35]
Pei S C, Chang J H, Ding J J. Quaternion matrix singular value decomposition and its applications for color image processing. In: International Conference on Image Processing IEEE Xplore 2003 (Cat No 03CH37429). Barcelona, Spain, 2003, I-805
[36]
Peng Z Y. The centro-symmetric solutions of linear matrix equation AXB = C and its optimal approximation. Chinese J Engrg Math, 2003, 20(6): 60–64
[37]
Qi L. Eigenvalues of a real supersymmetric tensors. J Symbolic Comput, 2005, 40: 1302–1324
CrossRef Google scholar
[38]
Qi L, Chen H, Chen Y. Tensor eigenvalues and their applications. Adv Mech Math, 2018
CrossRef Google scholar
[39]
Qi L, Luo Z Y. Tensor Analysis: Spectral Theory and Special Tensors. Philadelphia: SIAM, 2017
CrossRef Google scholar
[40]
Rehman A. Wang Q W, He Z H. Solution to a system of real quaternion matrix equations encompassing-Hermicity. Appl Math Comput, 2015, 265: 945–957
CrossRef Google scholar
[41]
Rodman L. Topics in Quaternion Linear Algebra. Princeton: Princeton Univ Press, 2014
CrossRef Google scholar
[42]
Santesso P, Valcher M E. On the zero pattern properties and asymptotic behavior of continuous-time positive system trajectories. Linear Algebra Appl, 2007, 425: 283–302
CrossRef Google scholar
[43]
Shao J Y. A general product of tensors with applications. Linear Algebra Appl, 2013, 439: 2350–2366
CrossRef Google scholar
[44]
Shao J Y, You L H. On some properties of three different types of triangular blocked tensors. Linear Algebra Appl, 2016, 511: 110–140
CrossRef Google scholar
[45]
Shi X H, Wei Y M, Ling S Y. Backward error and perturbation bounds for high order Sylvester tensor equation. Linear Multilinear Algebra, 2013, 61(10): 1436–1446
CrossRef Google scholar
[46]
Sun L Z, Zheng B D, Bu C J, Wei Y M. Moore-Penrose inverse of tensors via Einstein product. Linear Multilinear Algebra, 2016, 64(4): 686–698
CrossRef Google scholar
[47]
Took C C, Mandic D P. Quaternion-valued stochastic gradient-based adaptive IIR filtering. IEEE Trans Signal Process, 2010, 58(7): 3895–3901
CrossRef Google scholar
[48]
Took C C, Mandic D P. Augmented second-order statistics of quaternion random signals. Signal Process, 2011, 91(2): 214–224
CrossRef Google scholar
[49]
Wang Q W. The general solution to a system of real quaternion matrix equations. Comput Math Appl, 2005, 49(5): 665–675
CrossRef Google scholar
[50]
Wang Q W, Chang H X, Lin C Y. P-(skew)symmetric common solutions to a pair of quaternion matrix equations. Appl Math Comput, 2008, 195(2): 721–732
CrossRef Google scholar
[51]
Wang Q W, Lv R Y, Zhang Y. The least-squares solution with the least norm to a system of tensor equations over the quaternion algebra. Linear Multilinear Algebra, https://doi.org/10.1080/03081087.2020.1779172
CrossRef Google scholar
[52]
Wang Q W, Wang X X. Arnoldi method for large quaternion right eigenvalue problem. J Sci Comput, 2020, 82(3)
CrossRef Google scholar
[53]
Wei M S, Li Y, Zhang F X, Zhao J L. Quaternion Matrix Computations. New York: Nova Science Publishers, Inc, 2018
[54]
Wei Y M, Ding W Y. Theory and Computation of Tensors: Multi-Dimensional Arrays. London: Elsevier/Academic Press, 2016
[55]
Yuan S F, Wang Q W, Duan X F. On solutions of the quaternion matrix equation AX = B and their applications in color image restoration. Appl Math Comput, 2013, 221: 10–20
[56]
Zhang F Z. Quaternions and matrices of quaternions. Linear Algebra Appl, 1997, 251: 21{57
CrossRef Google scholar
[57]
Zhang X F, Wang Q W, Li T. The accelerated overrelaxation splitting method for solving symmetric tensor equations. Comput Appl Math, 2020, 39(3): 1–14
CrossRef Google scholar

RIGHTS & PERMISSIONS

2020 Higher Education Press
AI Summary AI Mindmap
PDF(325 KB)

Accesses

Citations

Detail

Sections
Recommended

/