On solutions of matrix equation AXB=C under semi-tensor product

被引:4
|
作者
Ji, Zhen-dong [1 ]
Li, Jiao-fen [1 ,3 ]
Zhou, Xue-lin [1 ]
Duan, Fu-jian [1 ]
Li, Tao [2 ]
机构
[1] Guilin Univ Elect Technol, Guangxi Coll & Univ Key Lab Data Anal & Computat, Sch Math & Comp Sci, Guilin 541004, Peoples R China
[2] Shanghai Univ, Coll Sci, Shanghai, Peoples R China
[3] Changsha Univ Sci & Technol, Sch Math & Stat, Changsha 410114, Hunan, Peoples R China
来源
LINEAR & MULTILINEAR ALGEBRA | 2021年 / 69卷 / 10期
基金
中国国家自然科学基金;
关键词
Matrix equation; semi-tensor product; compatible conditions; necessary and sufficient condition; OPTIMAL APPROXIMATION SOLUTION; ITERATIVE METHOD; SYMMETRIC-SOLUTIONS; STRATEGY;
D O I
10.1080/03081087.2019.1650881
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The semi-tensor product, which was initially proposed by Cheng et al. [An introduction to semi-tensor product of matrices and its applications. World Scientific; 2012], has been extensively applied in Boolean control networks, graph colouring, game theory, cryptographic algorithms and so on. In this article, motivated by the existing work by Yao et al. [J Franklin Inst. 2016;353:1109-1131], we further investigate the solvability of the matrix equation AXB=C with respect to semi-tensor product. The case of matrix-vector equation, in which the required unknown X be a vector, is studied first. Compatible condition for matrix dimensions, necessary and sufficient conditions and concrete solving methods are established. Based on this, the solvability of the matrix equation case, in which the unknown X be a matrix, under semi-tensor product is then studied. For each part, several elementary examples are presented to illustrate the efficiency of the results.
引用
收藏
页码:1935 / 1963
页数:29
相关论文
共 50 条
  • [1] Least squares solutions of matrix equation AXB = C under semi-tensor product
    Wang, Jin
    [J]. ELECTRONIC RESEARCH ARCHIVE, 2024, 32 (05): : 2976 - 2993
  • [2] On solutions of the matrix equation AX=B with respect to semi-tensor product
    Yao, Juan
    Feng, Jun-e
    Meng, Min
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2016, 353 (05): : 1109 - 1131
  • [3] Solving the Sylvester-Transpose Matrix Equation under the Semi-Tensor Product
    Jaiprasert, Janthip
    Chansangiam, Pattrawut
    [J]. SYMMETRY-BASEL, 2022, 14 (06):
  • [4] Solvability of the Sylvester equation AX - XB = C under left semi-tensor product
    Wang, Naiwen
    [J]. MATHEMATICAL MODELLING AND CONTROL, 2022, 2 (02): : 81 - 89
  • [5] The semi-tensor product method for special least squares solutions of the complex generalized Sylvester matrix equation
    Zhang, Fengxia
    Li, Ying
    Zhao, Jianli
    [J]. AIMS MATHEMATICS, 2023, 8 (03): : 5200 - 5215
  • [6] SOLVABILITY OF THE MATRIX EQUATION AX2 = B WITH SEMI-TENSOR PRODUCT
    Wang, Jin
    Feng, Jun-E
    Huang, Hua-Lin
    [J]. ELECTRONIC RESEARCH ARCHIVE, 2021, 29 (03): : 2249 - 2267
  • [7] Image encryption algorithm with matrix semi-tensor product
    Zou, Chengye
    Wang, Xingyuan
    Li, Haifeng
    [J]. NONLINEAR DYNAMICS, 2021, 105 (01) : 859 - 876
  • [8] Image encryption algorithm with matrix semi-tensor product
    Chengye Zou
    Xingyuan Wang
    Haifeng Li
    [J]. Nonlinear Dynamics, 2021, 105 : 859 - 876
  • [9] A Real Method for Solving Octonion Matrix Equation A X B = C Based on Semi-tensor Product of Matrices
    Liu, Xiaochen
    Li, Ying
    Ding, Wenxv
    Tao, Ruyu
    [J]. ADVANCES IN APPLIED CLIFFORD ALGEBRAS, 2024, 34 (02)
  • [10] Application of matrix semi-tensor product in chaotic image encryption
    Wang, Xingyuan
    Gao, Suo
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 356 (18): : 11638 - 11667