Matrix analysis
On the reduction of a matrix to triangular or diagonal form by consimilarity
SIAM Journal on Algebraic and Discrete Methods
The matrix equation AX – XB = C and its special cases
SIAM Journal on Matrix Analysis and Applications
Consimilarity: theory and applications (unitary congruence, antilinear, diagonalization, simultaneous triangularization, complex symmetric)
On solutions of matrix equations V-AVF=BW and V-AVF =BW
Mathematical and Computer Modelling: An International Journal
The complete solution to the Sylvester-polynomial-conjugate matrix equations
Mathematical and Computer Modelling: An International Journal
The complete solution to the Sylvester-polynomial-conjugate matrix equations
Mathematical and Computer Modelling: An International Journal
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In this paper, we propose a new operator of conjugate product for complex polynomial matrices. Elementary transformations are first investigated for the conjugate product. It is shown that an arbitrary complex polynomial matrix can be converted into the so-called Smith normal form by elementary transformations in the framework of conjugate product. Then the concepts of greatest common divisors and coprimeness are proposed and investigated, and some necessary and sufficient conditions for the coprimeness are established. Finally, it is revealed that two complex matrices A and B are consimilar if and only if (sI-A) and (sI-B) are conequivalent. Such a fact implies that the Jordan form of a complex matrix A under consimilarity may be obtained by analyzing the Smith normal form of (sI-A).