On the existence of extremal positive definite solutions of the nonlinear matrix equation (Q604124)

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scientific article; zbMATH DE number 5813955
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On the existence of extremal positive definite solutions of the nonlinear matrix equation
scientific article; zbMATH DE number 5813955

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    On the existence of extremal positive definite solutions of the nonlinear matrix equation (English)
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    8 November 2010
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    The authors consider the matrix equation \(X^r+\sum _{j=1}^mA_j^*X^{\delta _j}A_j=I\), \(-1<\delta _j<0\), where \(A_j\) are nonsingular \(n\times n\) matrices, \(I\) is the identity matrix, \(r\) and \(m\) are positive integers, \(A_j^*\) is the transpose conjugate of \(A_j\). The authors derive a necessary condition for the existence of a positive definite solution and, based on the Banach fixed point theorem, a sufficient condition for the existence of a unique such solution. Iterative methods for obtaining the extremal (maximal-minimal) positive definite solutions of this equation are proposed. The rate of convergence of some proposed algorithms is proved and numerical examples are given to illustrate their performance and effectiveness.
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    nonlinear matrix equation
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    positive definite matrix
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    extremal positive solution
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    iteration
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    convergence
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    algorithms
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    numerical examples
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