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首页> 外文期刊>Journal of inequalities and applications >On nonlinear matrix equations X ± ∑ i = 1 m A i ∗ X − n i A i = I $Xpmsum_{i=1}^{m}A_{i}^{*}X^{-n_{i}}A_{i}=I$
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On nonlinear matrix equations X ± ∑ i = 1 m A i ∗ X − n i A i = I $Xpmsum_{i=1}^{m}A_{i}^{*}X^{-n_{i}}A_{i}=I$

机译:关于非线性矩阵方程X±∑ i = 1 m A i * X − ni A i = I $ X pm sum_ {i = 1} ^ {m} A_ {i} ^ {*} X ^ {-n_ { i}} A_ {i} = I $

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We study the nonlinear matrix equations X + ∑ i = 1 m A i ∗ X − n i A i = I $X+sum_{i=1}^{m}A_{i}^{*}X^{-n_{i}}A_{i}=I$ and X − ∑ i = 1 m A i ∗ X − n i A i = I $X-sum_{i=1}^{m}A_{i}^{*}X^{-n_{i}}A_{i}=I$ , where n i $n_{i}$ are positive integers for i = 1 , 2 , … , m $i=1,2,ldots,m$ . The iterative algorithms for obtaining positive definite solutions for these equations are proposed. The necessary and sufficient conditions for the existence of positive definite solutions of these equations are derived. Moreover, the rate of convergence of the sequences generated from the algorithms is studied. The efficiency of proposed algorithms is illustrated by numerical examples.
机译:我们研究非线性矩阵方程X + ∑ i = 1 m A i * X-ni A i = I $ X + sum_ {i = 1} ^ {m} A_ {i} ^ {*} X ^ {-n_ { i}} A_ {i} = I $和X − ∑ i = 1 m A i * X − ni A i = I $ X- sum_ {i = 1} ^ {m} A_ {i} ^ {* X ^ {-n_ {i}} A_ {i} = I $,其中ni $ n_ {i} $是i = 1,2,…,m $ i = 1,2, ldots,m $的正整数。提出了获得这些方程正定解的迭代算法。得出了这些方程正定解存在的充要条件。此外,研究了从算法生成的序列的收敛速度。数值示例说明了所提出算法的效率。

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