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Newton’s Iteration Method for Solving the Nonlinear Matrix Equation X + ∑ i = 1 m A i * X − 1 A i = Q

Author

Listed:
  • Chang-Zhou Li

    (School of Mathematics, Jilin University, Changchun 130012, China)

  • Chao Yuan

    (School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China)

  • An-Gang Cui

    (School of Mathematics and Statistics, Yulin University, Yulin 719000, China)

Abstract

In this paper, we study the nonlinear matrix equation (NME) X + ∑ i = 1 m A i * X − 1 A i = Q . We transform this equation into an equivalent zero-point equation, then we use Newton’s iteration method to solve the equivalent equation. Under some mild conditions, we obtain the domain of approximation solutions and prove that the sequence of approximation solutions generated by Newton’s iteration method converges to the unique solution of this equation. In addition, the error estimation of the approximation solution is given. Finally, the comparison of two well-known approaches with Newton’s iteration method by some numerical examples demonstrates the superiority of Newton’s iteration method in the convergence speed.

Suggested Citation

  • Chang-Zhou Li & Chao Yuan & An-Gang Cui, 2023. "Newton’s Iteration Method for Solving the Nonlinear Matrix Equation X + ∑ i = 1 m A i * X − 1 A i = Q," Mathematics, MDPI, vol. 11(7), pages 1-11, March.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:7:p:1578-:d:1106495
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    References listed on IDEAS

    as
    1. Engwerda, J.C. & Ran, A.C.M. & Rijkeboer, A.L., 1992. "Necessary and sufficient conditions for the existence of a positive definite solution of the matrix equation X+A*X-1A=Q," Other publications TiSEM cbc6bc1e-3bbf-49a4-8222-d, Tilburg University, School of Economics and Management.
    2. Malik Zaka Ullah, 2021. "A New Inversion-Free Iterative Scheme to Compute Maximal and Minimal Solutions of a Nonlinear Matrix Equation," Mathematics, MDPI, vol. 9(23), pages 1-7, November.
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