Abstract
In this paper, we consider a class of nonlinear matrix equation of the type \(X+\sum _{i=1}^mA_i^{*}X^{-q}A_i-\sum _{j=1}^nB_{j}^{*}X^{-r}B_j=Q\), where \(0<q,\,r\le 1\) and Q is positive definite. Based on the Schauder fixed point theorem and Bhaskar–Lakshmikantham coupled fixed point theorem, we derive some sufficient conditions for the existence and uniqueness of the positive definite solution to such equations. An iterative method is provided to compute the unique positive definite solution. A perturbation estimation and the explicit expression of Rice condition number of the unique positive definite solution are also established. The theoretical results are illustrated by numerical examples.
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References
Berzig, M.: Solving a class of matrix equations via the Bhaskar-Lakshmikantham coupled fixed point theorem. Applied Mathematics Letters 25, 1638–1643 (2012)
Berzig, M., Duan, X.F., Samet, B.: Positive definite solution of the matrix equation \(X=Q-A^{*}X^{-1}A+B^{*}X^{-1}B\) via Bhaskar-Lakshmikantham fixed point theorem. Mathematical Sciences 6, 27–32 (2012)
Bhatia, R.: Matrix Analysis. Graduate Texts in Mathematics. Springer-Verlag, (1997)
Bhaskar, T.G., Lakshmikantham, V.: Fixed point theory in partially ordered metric spaces and applications. Nonlinear Anal. 65, 1379–1393 (2006)
Buzbee, B.L., Golub, G.H., Nilson, C.W.: On direct methods for solving Poisson’s equations. SIAM J. Numer. Anal. 7, 627–656 (1970)
Duan, X.F., Liao, A.P.: On Hermitian positive definite solution of the matrix equation \(X-\sum _{i=1}^{m}A_{i}^{*}X^{r}A_{i}=Q\). J. Comput. Appl. Math. 229(1), 27–36 (2009)
Duan, X.F., Wang, Q.W., Li, C.M.: Positive definite solution of a class of nonlinear matrix equation. Linear and Multilinear Algebra, 1-14 (2013)
Duan, X.F., Wang, Q.W., Liao, A.P.: On the matrix equation \(X-\sum _{i=1}^{m}N_{i}^{*}X^{-1}N_{i}=I\) arising in an interpolation problem. Linear and Multilinear Algebra 61(9), 1992–1205 (2013)
Guo, C.H., Kuo, Y.C., Lin, W.W.: Numerical solution of nonlinear matrix equations arising from Green’s function calculations in nano research. J. Comput. Appl. Math. 236, 4166–4180 (2012)
Hasanov, V.I.: Positive definite solutions of the matrix equations \(X\pm A^{*}X^{-q}A=Q\). Linear Algebra Appl. 404, 166–182 (2005)
Liu, A., Chen, G.: On the Hermitian positive definite solutions of nonlinear matrix equation \(X^s+\sum _{i=1}^{m}A_{i}^{*}X^{-t_1}A_{i}=Q\). Applied Mathematics and Computation 243, 950–959 (2014)
Lancaster, P., Rodman, L.: Algebraic Riccati Equations. Oxford Science Publishers, Oxford (1995)
Li, J., Zhang, Y.H.: Perturbation analysis of the matrix equation \(X-A^{*}X^{-p}A=Q\). Linear Algebra Appl. 431, 936–945 (2009)
Li, Z.Y., Zhou, B., James, L.: Towards positive definite solutions of a class of nonlinear matrix equations. Applied Mathematics and Computation 237, 546–559 (2014)
Lim, Y.: Solving the nonlinear matrix equation \(X=Q+\Sigma _{i=1}^{m}M_{i}X^{\delta _{i}}M_{i}^{*}\) via a contraction principal. Linear Algebra Appl. 430, 1380–1383 (2009)
Meini, B.: Efficient computation of the extreme solutions of \(X+A^{*}X^{-1}A=Q\) and \(X-A^{*}X^{-1}A=Q\). Math. Comput. 71, 1189–1204 (2002)
Monsalve, M., Raydan, M.: Corrigendum to “A new inversion-free method for a rational matrix equation” [Linear Algebra Appl. 433(1)(2010)64-71]. Linear Algebra Appl. 448, 343–344 (2014)
Peng, Z.Y., El-Sayed, S.M., Zhang, X.L.: Iterative methods for the extremal positive definite solution of the matrix equation \(X+A^{*}X^{-\alpha }A=Q\). J. Comput. Appl. Math. 2007, 520–527 (2000)
Ran, A.C.M., Reurings, M.C.B.: A nonlinear matrix equation connected to interpolation theory. Linear Algebra Appl. 379, 289–304 (2004)
Rice, J.R.: A theory of condition. SIAM J. Numer. Anal. 3, 287–310 (1966)
Sakhnovich, L.A.: Interpolation Theory and its Applications. In: Mathematics and its Applications, 428, Kilwer Academic, Dordrecht (1997)
Sarhan, A.M., El-Shazy, N.M., Shehata, E.M.: On the existence of extremal positive definite solutions of the nonlinear matrix equation \(X^{r}+\Sigma _{i=1}^{m}A_{i}^{*}X^{\delta _{i}}A_{i}=I\). Math. Comput. Model. 51, 1107–1117 (2010)
Sun, J.G., Xu, S.F.: Perturbation analysis of the maximal solution of the matrix equation \(X+A^{*}X^{-1}A=P. \Pi \). Linear Algebra Appl. 362, 211–228 (2003)
Yin, X.Y., Liu, S.Y., Fang, L.: Solutions and perturbation estimates for the matrix equation \(X^{s}+ A^{*}X^{-t}A=Q\). Linear Algebra Appl. 431, 1409–1421 (2009)
Yin, X.Y., Wen, R.P., Fang, L.: On the nonlinear matrix equation \(X+\sum _{i=1}^{m}A_{i}^{*}X^{-q}A_{i}=Q (0<q\le 1)\). Bull. Korean Math. Soc. 51(3), 739–763 (2014)
Yong, J.M., Zhou, Z.Y.: Stochastic controls, Hamiltonian systems and HJB equations. Springer-Verlag, New York(NY) (1999)
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The authors wish to thank the anonymous referees for providing valuable comments and suggestions which improved this paper.
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This work is supported by National Science Foundation of China (No. 61373174), Natural Science Foundation of Shaanxi Province (No. 2014JQ1021), and the Fundamental Research Funds for the Central Universities (No. K5051370007).
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Fang, L., Liu, S. & Yin, X. Positive definite solutions and perturbation analysis of a class of nonlinear matrix equations. J. Appl. Math. Comput. 53, 245–269 (2017). https://doi.org/10.1007/s12190-015-0966-7
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DOI: https://doi.org/10.1007/s12190-015-0966-7
Keywords
- Nonlinear matrix equation
- Positive definite solution
- Perturbation analysis
- Coupled fixed point theorem
- Condition number