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Iterative method to solve the generalized coupled Sylvester-transpose linear matrix equations over reflexive or anti-reflexive matrix

机译:自反矩阵或反自反矩阵上求解广义耦合Sylvester转置线性矩阵方程的迭代方法

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摘要

The iterative method of generalized coupled Sylvester-transpose linear matrix equations AXB + CY~TD = S_1, EX~TF + GYH = S_2 over reflexive or anti-reflexive matrix pair (X, Y) is presented. On the condition that the coupled matrix equations are consistent, we show that the solution pair (X~*, Y~*) proposed by the iterative method can be obtained within finite iterative steps in the absence of roundoff-error for any initial value given a reflexive or anti-reflexive matrix. Moreover, the optimal approximation reflexive or anti-reflexive matrix solution pair to an arbitrary given reflexive or anti-reflexive matrix pair can be derived by searching the least Frobenius norm solution pair of the new generalized coupled Sylvester-transpose linear matrix equations. Finally, some numerical examples are given which illustrate that the introduced iterative algorithm is quite efficient.
机译:给出了自反矩阵或反自反矩阵对(X,Y)上广义耦合的Sylvester转置线性矩阵方程AXB + CY〜TD = S_1,EX_TF + GYH = S_2的迭代方法。在耦合矩阵方程是一致的条件下,我们表明在给定的任何初始值不存在舍入误差的情况下,可以在有限的迭代步骤内获得由迭代方法提出的解对(X〜*,Y〜*)自反矩阵或反自反矩阵。此外,可以通过搜索新的广义耦合Sylvester转置线性矩阵方程组的最小Frobenius范数解对,得出对任意给定的自反矩阵或反自反矩阵对的最佳近似自反矩阵或反自反矩阵解。最后,给出了一些数值示例,说明所引入的迭代算法非常有效。

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