Share This Article:

EPr Solution to a System of Matrix Equations

Abstract Full-Text HTML XML Download Download as PDF (Size:149KB) PP. 50-54
DOI: 10.4236/alamt.2013.34010    2,983 Downloads   6,239 Views  

ABSTRACT

A square complex matrix is called if it can be written in the form with being fixed unitary and being arbitrary matrix in . We give necessary and sufficient conditions for the existence of the solution to the system of complex matrix equation and present an expression of the solution to the system when the solvability conditions are satisfied. In addition, the solution to an optimal approximation problem is obtained. Furthermore, the least square solution with least norm to this system mentioned above is considered. The representation of such solution is also derived.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

C. Dong, Y. Zhang and J. Song, "EPr Solution to a System of Matrix Equations," Advances in Linear Algebra & Matrix Theory, Vol. 3 No. 4, 2013, pp. 50-54. doi: 10.4236/alamt.2013.34010.

References

[1] H. Schwerdtfeger, “Introduction to Linear Algebra and the Theory of Matrices,” P. Noordhoff, Groningen, 1950.
[2] M. H. Pearl, “On normal and matrices,” Michigan Mathematical Journal, Vol. 6, No. 1, 1959, pp. 1-5. http://dx.doi.org/10.1307/mmj/1028998132
[3] C. R. Rao and S. K. Mitra, “Generalized Inverse of Matrices and Its Applications,” Wiley, New York, 1971.
[4] O. M. Baksalary and G. Trenkler, “Characterizations of EP, normal, and Hermitian matrices,” Linear Multilinear Algebra, Vol. 56, 2008, pp. 299-304. http://dx.doi.org/10.1080/03081080600872616
[5] Y. Tian and H. X. Wang, “Characterizations of Matrices and Weighted-EP Matrices,” Linear Algebra Applications, Vol. 434, No. 5, 2011, pp. 1295-1318. http://dx.doi.org/10.1016/j.laa.2010.11.014
[6] K.-W. E. Chu, “Singular Symmetric Solutions of Linear Matrix Equations by Matrix Decompositions,” Linear Algebra Applications, Vol. 119, 1989, pp. 35-50. http://dx.doi.org/10.1016/0024-3795(89)90067-0
[7] R. D. Hill, R. G. Bates and S. R. Waters, “On Centrohermitian Matrices,” SIAM Journal on Matrix Analysis and Applications, Vol. 11, No. 1, 1990, pp. 128-133. http://dx.doi.org/10.1137/0611009
[8] Z. Z. Zhang, X. Y. Hu and L. Zhang, “On the Hermitian-Generalized Hamiltonian Solutions of Linear Mattrix Equations,” SIAM Journal on Matrix Analysis and Applications, Vol. 27, No. 1, 2005, pp. 294-303. http://dx.doi.org/10.1137/S0895479801396725
[9] A. Dajic and J. J. Koliha, “Equations and in Rings and Rings with Involution with Applications to Hilbert Space Operators,” Linear Algebra Applications, Vol. 429, No. 7, 2008, pp. 1779-1809. http://dx.doi.org/10.1016/j.laa.2008.05.012
[10] C. G. Khatri and S. K. Mitra, “Hermitian and Nonnegative Definite Solutions of Linear Matrix Equations,” SIAM Journal on Matrix Analysis and Applications, Vol. 31, No. 4, 1976, pp. 579-585. http://dx.doi.org/10.1137/0131050
[11] F. J. H. Don, “On the Symmetric Solutions of a Linear Matrix Equation,” Linear Algebra Applications, Vol. 93, 1987, pp. 1-7. http://dx.doi.org/10.1016/S0024-3795(87)90308-9
[12] H. X. Chang, Q. W. Wang and G. J. Song, “(R,S)-Conjugate Solution to a Pair of Linear Matrix Equations,” Applied Mathematics and Computation, Vol. 217, 2010, pp. 73-82. http://dx.doi.org/10.1016/j.amc.2010.04.053
[13] E. W. Cheney, “Introduction to Approximation Theory,” McGraw-Hill Book Co., 1966.

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.