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Computation of the Solutions of Lyapunov Matrix Equations with Iterative Decreasing Dimension Method

Year 2022, Volume: 5 Issue: 2, 98 - 105, 01.06.2022
https://doi.org/10.33401/fujma.996668

Abstract

The existence of a solution of continuous and discrete-time Lyapunov matrix equations was studied. Both Lyapunov matrix equations are transformed into a matrix-vector equation and the solution of the obtained new system was examined. The iterative decreasing dimension method (IDDM) was implemented for solving the generated matrix-vector equation. Computations have been done with Maple procedures that run the constituted algorithms.

Thanks

The authors would like to express their sincere thanks to the editor and the anonymous reviewers for their helpful comments and suggestions.

References

  • [1] O. Akın, H. Bulgak, Linear Difference Equations and Stability Theory [in Turkish], Selc¸uk University, Research Center of Applied Mathematics, Konya, 1998.
  • [2] H. Bulgak, Pseudo Eigenvalues, Spectral Portrait of a Matrix and Their Connections with Different Criteria of Stability, In: Error control in Adaptivity in Scientific Computing, H. Bulgak, C. Zenger (editors), NATO Science Series, Kluwer Academic Publishers, 1999, (pp. 95-124).
  • [3] G. Alexander, Kronecker Products and Matrix Calculus with Applications, John Wiley & Sons, N.Y, 1981.
  • [4] G. H. Golub C. F. VanLoan, Matrix Computations, The Johns Hopkins University Press, Baltimore, MD, 2013.
  • [5] K. Aydın, G. C. Kızılkan, A. O. C¸ ıbıkdiken, Generalized iterative decreasing method, European J. Pure Appl. Math., 3(5)(2010), 819-830.
  • [6] T. Keskin, K. Aydın, Iterative decreasing dimension algorithm, Comput. Math. Appl., 53(1)(2007), 1153-1158.
  • [7] H. Vang, J. Jiang, Solution of the system of linear algebraic equations by decreasing dimension, Appl. Math. Comput., 109(1)(2000), 51-57.
Year 2022, Volume: 5 Issue: 2, 98 - 105, 01.06.2022
https://doi.org/10.33401/fujma.996668

Abstract

References

  • [1] O. Akın, H. Bulgak, Linear Difference Equations and Stability Theory [in Turkish], Selc¸uk University, Research Center of Applied Mathematics, Konya, 1998.
  • [2] H. Bulgak, Pseudo Eigenvalues, Spectral Portrait of a Matrix and Their Connections with Different Criteria of Stability, In: Error control in Adaptivity in Scientific Computing, H. Bulgak, C. Zenger (editors), NATO Science Series, Kluwer Academic Publishers, 1999, (pp. 95-124).
  • [3] G. Alexander, Kronecker Products and Matrix Calculus with Applications, John Wiley & Sons, N.Y, 1981.
  • [4] G. H. Golub C. F. VanLoan, Matrix Computations, The Johns Hopkins University Press, Baltimore, MD, 2013.
  • [5] K. Aydın, G. C. Kızılkan, A. O. C¸ ıbıkdiken, Generalized iterative decreasing method, European J. Pure Appl. Math., 3(5)(2010), 819-830.
  • [6] T. Keskin, K. Aydın, Iterative decreasing dimension algorithm, Comput. Math. Appl., 53(1)(2007), 1153-1158.
  • [7] H. Vang, J. Jiang, Solution of the system of linear algebraic equations by decreasing dimension, Appl. Math. Comput., 109(1)(2000), 51-57.
There are 7 citations in total.

Details

Primary Language English
Subjects Mathematical Sciences
Journal Section Articles
Authors

Oguzer Sinan 0000-0002-8742-5372

Sefa Baydak 0000-0002-0337-3342

Ahmet Duman 0000-0002-4022-5285

Kemal Aydın 0000-0001-7822-3384

Publication Date June 1, 2022
Submission Date September 20, 2021
Acceptance Date March 19, 2022
Published in Issue Year 2022 Volume: 5 Issue: 2

Cite

APA Sinan, O., Baydak, S., Duman, A., Aydın, K. (2022). Computation of the Solutions of Lyapunov Matrix Equations with Iterative Decreasing Dimension Method. Fundamental Journal of Mathematics and Applications, 5(2), 98-105. https://doi.org/10.33401/fujma.996668
AMA Sinan O, Baydak S, Duman A, Aydın K. Computation of the Solutions of Lyapunov Matrix Equations with Iterative Decreasing Dimension Method. FUJMA. June 2022;5(2):98-105. doi:10.33401/fujma.996668
Chicago Sinan, Oguzer, Sefa Baydak, Ahmet Duman, and Kemal Aydın. “Computation of the Solutions of Lyapunov Matrix Equations With Iterative Decreasing Dimension Method”. Fundamental Journal of Mathematics and Applications 5, no. 2 (June 2022): 98-105. https://doi.org/10.33401/fujma.996668.
EndNote Sinan O, Baydak S, Duman A, Aydın K (June 1, 2022) Computation of the Solutions of Lyapunov Matrix Equations with Iterative Decreasing Dimension Method. Fundamental Journal of Mathematics and Applications 5 2 98–105.
IEEE O. Sinan, S. Baydak, A. Duman, and K. Aydın, “Computation of the Solutions of Lyapunov Matrix Equations with Iterative Decreasing Dimension Method”, FUJMA, vol. 5, no. 2, pp. 98–105, 2022, doi: 10.33401/fujma.996668.
ISNAD Sinan, Oguzer et al. “Computation of the Solutions of Lyapunov Matrix Equations With Iterative Decreasing Dimension Method”. Fundamental Journal of Mathematics and Applications 5/2 (June 2022), 98-105. https://doi.org/10.33401/fujma.996668.
JAMA Sinan O, Baydak S, Duman A, Aydın K. Computation of the Solutions of Lyapunov Matrix Equations with Iterative Decreasing Dimension Method. FUJMA. 2022;5:98–105.
MLA Sinan, Oguzer et al. “Computation of the Solutions of Lyapunov Matrix Equations With Iterative Decreasing Dimension Method”. Fundamental Journal of Mathematics and Applications, vol. 5, no. 2, 2022, pp. 98-105, doi:10.33401/fujma.996668.
Vancouver Sinan O, Baydak S, Duman A, Aydın K. Computation of the Solutions of Lyapunov Matrix Equations with Iterative Decreasing Dimension Method. FUJMA. 2022;5(2):98-105.

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