Computer methods for calculating tuple solutions of polynomial matrix equations

Schemes are presented for calculating tuples of solutions of matrix polynomial equations using continued fractions. Despite the fact that the simplest matrix equations were solved in the second half of the 19th century, and the problem of multiplier decomposition was then deeply analysed, many tasks...

Full description

Bibliographic Details
Main Authors: J. Dorożyński, M. Nedashkovskyy
Format: Article
Language:English
Published: Polish Academy of Sciences 2020-04-01
Series:Bulletin of the Polish Academy of Sciences: Technical Sciences
Subjects:
Online Access:https://journals.pan.pl/Content/116291/PDF/08D_235-243_01318_Bpast.No.68-2_17.04.20_K2A_SS.pdf
_version_ 1811343552183009280
author J. Dorożyński
M. Nedashkovskyy
author_facet J. Dorożyński
M. Nedashkovskyy
author_sort J. Dorożyński
collection DOAJ
description Schemes are presented for calculating tuples of solutions of matrix polynomial equations using continued fractions. Despite the fact that the simplest matrix equations were solved in the second half of the 19th century, and the problem of multiplier decomposition was then deeply analysed, many tasks in this area have not yet been solved. Therefore, the construction of computer schemes for calculating the sequences of solutions is proposed in this work. The second-order matrix equations can be solved by a matrix chain function or iterative method. The results of the numerical experiment using the MatLab package for a given number of iterations are presented. A similar calculation is done for a symmetric square matrix equation of the 2nd order. Also, for the discrete (time) Riccati equation, as its analytical solution cannot be performed yet, we propose constructing its own special scheme of development of the solution in the matrix continued fraction. Next, matrix equations of the n-th order, matrix polynomial equations of the order of non-canonical form, and finally, the conditions for the termination of the iterative process in solving matrix equations by branched continued fractions and the criteria of convergence of matrix branching chain fractions to solutions are discussed.
first_indexed 2024-04-13T19:31:00Z
format Article
id doaj.art-566cd680ca984897a6768bb3b900a3a4
institution Directory Open Access Journal
issn 2300-1917
language English
last_indexed 2024-04-13T19:31:00Z
publishDate 2020-04-01
publisher Polish Academy of Sciences
record_format Article
series Bulletin of the Polish Academy of Sciences: Technical Sciences
spelling doaj.art-566cd680ca984897a6768bb3b900a3a42022-12-22T02:33:10ZengPolish Academy of SciencesBulletin of the Polish Academy of Sciences: Technical Sciences2300-19172020-04-0168No. 2 (i.a. Special Section on Computational Intelligence in Communications)235243https://doi.org/10.24425/bpasts.2020.133113Computer methods for calculating tuple solutions of polynomial matrix equationsJ. DorożyńskiM. NedashkovskyySchemes are presented for calculating tuples of solutions of matrix polynomial equations using continued fractions. Despite the fact that the simplest matrix equations were solved in the second half of the 19th century, and the problem of multiplier decomposition was then deeply analysed, many tasks in this area have not yet been solved. Therefore, the construction of computer schemes for calculating the sequences of solutions is proposed in this work. The second-order matrix equations can be solved by a matrix chain function or iterative method. The results of the numerical experiment using the MatLab package for a given number of iterations are presented. A similar calculation is done for a symmetric square matrix equation of the 2nd order. Also, for the discrete (time) Riccati equation, as its analytical solution cannot be performed yet, we propose constructing its own special scheme of development of the solution in the matrix continued fraction. Next, matrix equations of the n-th order, matrix polynomial equations of the order of non-canonical form, and finally, the conditions for the termination of the iterative process in solving matrix equations by branched continued fractions and the criteria of convergence of matrix branching chain fractions to solutions are discussed.https://journals.pan.pl/Content/116291/PDF/08D_235-243_01318_Bpast.No.68-2_17.04.20_K2A_SS.pdfmatrix polynomial equationsdiscrete (time) riccati equationtuples of solutionsmatlab
spellingShingle J. Dorożyński
M. Nedashkovskyy
Computer methods for calculating tuple solutions of polynomial matrix equations
Bulletin of the Polish Academy of Sciences: Technical Sciences
matrix polynomial equations
discrete (time) riccati equation
tuples of solutions
matlab
title Computer methods for calculating tuple solutions of polynomial matrix equations
title_full Computer methods for calculating tuple solutions of polynomial matrix equations
title_fullStr Computer methods for calculating tuple solutions of polynomial matrix equations
title_full_unstemmed Computer methods for calculating tuple solutions of polynomial matrix equations
title_short Computer methods for calculating tuple solutions of polynomial matrix equations
title_sort computer methods for calculating tuple solutions of polynomial matrix equations
topic matrix polynomial equations
discrete (time) riccati equation
tuples of solutions
matlab
url https://journals.pan.pl/Content/116291/PDF/08D_235-243_01318_Bpast.No.68-2_17.04.20_K2A_SS.pdf
work_keys_str_mv AT jdorozynski computermethodsforcalculatingtuplesolutionsofpolynomialmatrixequations
AT mnedashkovskyy computermethodsforcalculatingtuplesolutionsofpolynomialmatrixequations