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Structured perturbation analysis for an infinite size quasi-Toeplitz matrix equation with applications

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Abstract

This paper is concerned with the generalized Sylvester equation \(AXB+CXD=E\), where ABCDE are infinite size matrices with a quasi Toeplitz structure, that is, a semi-infinite Toeplitz matrix plus an infinite size compact correction matrix. Under certain conditions, an equation of this type has a unique solution possessing the same structure as the coefficient matrix does. By separating the analysis on the Toeplitz part with that on the correction part, we provide perturbation results that cater to the particular structure in the coefficient matrices. We show that the Toeplitz part is well-conditioned if the whole problem, without considering the structure, is well-conditioned. Perturbation results that are illustrated through numerical examples are applied to equations arising in the analysis of a Markov process and the 2D Poisson problem.

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References

  1. Bartels, R.H., Stewart, G.W.: Solution of the matrix equation AX + XB = C. Commun. ACM 15, 820–826 (1972)

    Article  Google Scholar 

  2. Bini, D.A., Massei, S., Meini, B.: Semi-infinite quasi-Toeplitz matrices with applications to QBD stochastic processes. Math. Comput. 87, 2811–2830 (2018)

    Article  MathSciNet  Google Scholar 

  3. Bini, D.A., Massei, S., Meini, B.: On functions of quasi Toeplitz matrices. Sb. Math. 208, 56–74 (2017)

    Article  MathSciNet  Google Scholar 

  4. Bini, D.A., Massei, S., Meini, B., Robol, L.: On quadratic matrix equations with infinite size coefficients encountered in QBD stochastic processes. Numer. Linear Algebra Appl. 25e, 2128 (2018)

    Article  MathSciNet  Google Scholar 

  5. Bini, D.A., Massei, S., Meini, B., Robol, L.: A computational framework for two-dimensional random walks with restarts. SIAM J. Sci. Comput. 42(4), A2108–A2133 (2020)

    Article  MathSciNet  Google Scholar 

  6. Bini, D.A., Massei, S., Robol, L.: Quasi-Toeplitz matrix arithmetic: a MATLAB toolbox. Numer. Algorithms 81, 741–769 (2019)

    Article  MathSciNet  Google Scholar 

  7. Bini, D.A., Meini, B., Meng, J.: Solving quadratic matrix equations arising in random walks in the quarter plane. SIAM J. Matrix Anal. Appl. 41, 691–714 (2020)

    Article  MathSciNet  Google Scholar 

  8. B\(\ddot{\rm {o}}\)ttcher, A., Grudsky, S. M, : Spectral Properties of Banded Toeplitz Matrices. SIAM, Philadelphia (2005)

  9. Epton, M.A.: Methods for the solution of AXD – BXC = E and its application in the numerical solution of implicit ordinary differential equations. BIT 20, 341–345 (1980)

    Article  MathSciNet  Google Scholar 

  10. Gardiner, J.D., Laub, A.J., Amato, J.J., Moler, C.B.: Solution of the Sylvester matrix equation \(AXB^T+CXD^T=E\). ACM Trans. Math. Softw.. 18, 223–231 (1992)

    Article  Google Scholar 

  11. Gahinet, P., Laub, A., Kenney, Ch., Hewer, G.: Sensitivity of the stable discrete-time Lyapunov equation. IEEE Trans. Automat. Control 35, 1209–1217 (1990)

    Article  MathSciNet  Google Scholar 

  12. Higham, N.J.: Perturbation theory and backward error for \(AX-XB=C\). BIT 33, 124–136 (1993)

    Article  MathSciNet  Google Scholar 

  13. Hu, Q., Cheng, D.: The polynomial solution to the Sylvester matrix equation. Appl. Math. Lett. 19, 859–864 (2006)

    Article  MathSciNet  Google Scholar 

  14. Lumer, G., Rosenblum, M.: Linear operator equations. Proc. Amer. Math. Soc. 10, 32–41 (1959)

    Article  MathSciNet  Google Scholar 

  15. Mortad, M.H.: An Operator Theory Problem Book. World Scientific Publishing, Singapore (2018)

    Book  Google Scholar 

  16. Motyer, A.J., Taylor, P.G.: Decay rates for quasi-birth-and-death processes with countably many phases and tridiagonal block generators. Adv. Appl. Prob. 38, 522–544 (2006)

    Article  MathSciNet  Google Scholar 

  17. Robol, L.: Rational Krylov and ADI iteration for infinite size quasi-Toeplitz matrix equations. Linear Algebra Appl. 604, 210–235 (2020)

    Article  MathSciNet  Google Scholar 

  18. Simoncini, V.: Computational Methods for Linear Matrix Equations. SIAM Rev. 58, 377–441 (2016)

    Article  MathSciNet  Google Scholar 

  19. Stykel, T.: Numerical solution and perturbation theory for generalized Lyapunov equations. Linear Algebra Appl. 349, 155–18 (2002)

    Article  MathSciNet  Google Scholar 

  20. Ter\({\acute{\rm {a}}}\)n, F. De., Bruno, B., Poloni, F., Robol, L, : Nonsingular systems of generalized Sylvester equations: an algorithmic approach. Numer. Linear Algebra Appl. 26, e2261 (2019)

  21. Wimmer, H., Ziebur, A.D.: Solving the matrix equaiton \(\sum _{p=1}^rf_p(A)Xg_p(B)=C\). SIAM Rev. 14, 318–323 (1979)

    Article  Google Scholar 

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Acknowledgements

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2019R1I1A1A01062548) and the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (MSIP) (NRF-2017R1A5A1015722). The authors thank the anonymous referees for providing very useful suggestions for improving this paper.

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Correspondence to Jie Meng.

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Communicated by Lothar Reichel.

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Kim, HM., Meng, J. Structured perturbation analysis for an infinite size quasi-Toeplitz matrix equation with applications. Bit Numer Math 61, 859–879 (2021). https://doi.org/10.1007/s10543-021-00847-2

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