We investigate the solvability of the matrix equation $ AX^{2} = B $ in which the multiplication is the semi-tensor product. Then compatible conditions on the matrices $ A $ and $ B $ are established in each case and necessary and sufficient condition for the solvability is discussed. In addition, concrete methods of solving the equation are provided.
Citation: Jin Wang, Jun-E Feng, Hua-Lin Huang. Solvability of the matrix equation $ AX^{2} = B $ with semi-tensor product[J]. Electronic Research Archive, 2021, 29(3): 2249-2267. doi: 10.3934/era.2020114
We investigate the solvability of the matrix equation $ AX^{2} = B $ in which the multiplication is the semi-tensor product. Then compatible conditions on the matrices $ A $ and $ B $ are established in each case and necessary and sufficient condition for the solvability is discussed. In addition, concrete methods of solving the equation are provided.
| [1] |
Solving periodic Lyapunov matrix equations via finite steps iteration. IET Control Theory Appl. (2012) 6: 2111-2119.
|
| [2] | (2002) Matrix and Polynomial Approach to Dynamics Control Systems. Beijing: Science Press. |
| [3] |
D. Cheng, H. Qi and Y. Zhao, An Introduction to Semi-tensor Product of Matrices and its Application, World Scientific Publishing Co. Pte. Ltd., Hackensack, NJ, 2012. doi: 10.1142/8323
|
| [4] | Evolutionarily stable strategy of networked evloutionary games. IEEE Transactions on Neural Networks and Learning (2014) 25: 1335-1345. |
| [5] | Semi-tensor product of matrices: A new convenient tool. Chinese Science Bulletin (2011) 56: 2664-2674. |
| [6] |
General decomposition of fuzzy relations: Semi-tensor product approach. Fuzzy Sets and Systems (2020) 384: 75-90.
|
| [7] |
J.-E. Feng, J. Yao and P. Cui, Singular Boolean network: Semi-tensor product approach, Sci. China Inf. Sci., 56 (2013), 112203, 14 pp. doi: 10.1007/s11432-012-4666-8
|
| [8] | (2014) Study on Several Kinds of Cryptographic Algorithm Based on the Semi-Tensor Product. Beijing Jiaotong University Press. |
| [9] |
(1991) Topics in Matrix Analysis. Cambridge: Cambridge University Press.
|
| [10] | (2004) The Linear Algebra System and Control Science. Beijing: Science Press. |
| [11] | An overview on the solutions of the algebraic matrix Riccati equation and related problems. Large Scale Systems (1980) 1: 167-192. |
| [12] | G. G. Jesus, Block Toeplitz Matrices: Asymptotic Results and Applications, Now Publishers, Hanover, 2012. |
| [13] | P. Jiang, Y. Z. Wang and R. M. Xu, Mobile Robot Odor Source Localization Via Semi-Tensor Product, The Thirty-Fourth China Conference on Control, Hangzhou, 2015. |
| [14] | Electromagnetic modeling of composite metallic and dielectric structures. Microwave Theory Tech (1999) 47: 1021-1032. |
| [15] |
On solution of the linear matrix equations. Journal of Automation and Information Sciences (2015) 47: 1-9.
|
| [16] | (2010) A Tensor Product in Power System Transient Analysis Method. Beijing: Tsinghua University Press. |
| [17] | Two iterative methods of decomposition of a fuzzy relation for image compression/decompres-sion processing. Soft Comput (2004) 8: 698-704. |
| [18] | Fast solving method of fuzzy relational equation and its application to lossy image compression/reconstruction. IEEE Trans. Fuzzy Syst. (2000) 18: 325-334. |
| [19] | G. W. Stagg and A. H. El-Abiad, Computer Methods in Power System Analysis, McGraw-Hill, New York, 1968. |
| [20] |
Robust graph coloring based on the matrix semi-tensor product with application to examination timetabling. Control Theory Technol. (2014) 12: 187-197.
|
| [21] |
On solutions of the matrix equation $AX=B$ with respect to semi-tensor product. J. Franklin Inst. (2016) 353: 1109-1131.
|
| [22] |
Block decoupling of Boolean control networks. IEEE Trans. Automat. Control (2019) 64: 3129-3140.
|
| [23] |
Solving the mixed Sylvester matrix equations by matrix decompositions. C. R. Math. Acad. Sci. Paris (2015) 353: 1053-1059.
|