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Finite iterative algorithms for solving generalized coupled Sylvester systems-Part Ⅱ: Two-sided and generalized coupled Sylvester matrix equations over reflexive solutions

机译:解广义耦合Sylvester系统的有限迭代算法-第二部分:自反解上的双面广义耦合Sylvester矩阵方程

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摘要

In Part Ⅰ of this article, we proposed a finite iterative algorithm for the one-sided and generalized coupled Sylvester matrix equations (AY - ZB,CY - ZD) = (E,F) and its optimal approximation problem over generalized reflexive matrices solutions. In Part Ⅱ, an iterative algorithm is constructed to solve the two-sided and generalized coupled Sylvester matrix equations (AXB - CYD,EXF - GYH) = (M,N), which include Sylvester and Lyapunov matrix equations as special cases, over reflexive matrices X and Y. When the matrix equations are consistent, for any initial reflexive matrix pair [X_1,Y_1], the reflexive solutions can be obtained by the iterative algorithm within finite iterative steps in the absence of round-off errors, and the least Frobenius norm reflexive solutions can be obtained by choosing a special kind of initial matrix pair. The unique optimal approximation reflexive solution pair [~^X, ~^Y] to a given matrix pair [X_0,Y_0] in Frobenius norm can be derived by finding the least-norm reflexive solution pair [~X~*,~Y~*] of a new corresponding generalized coupled Sylvester matrix equations (A~XB - C~YD, E~XF - G~YH) = (~M,~N). where ~M =M - AX_0B + CY_0D, ~N = N - EX_0F + GY_0H. Several numerical examples are given to show the effectiveness of the presented iterative algorithm.
机译:在本文的第一部分中,我们提出了单侧广义耦合Sylvester矩阵方程(AY-ZB,CY-ZD)=(E,F)的有限迭代算法及其在广义反射矩阵解中的最佳逼近问题。在第二部分中,构造了一种迭代算法来求解双向广义耦合的Sylvester矩阵方程(AXB-CYD,EXF-GYH)=(M,N),其中包括Sylvester和Lyapunov矩阵方程作为特例,通过自反当矩阵方程式一致时,对于任何初始自反矩阵对[X_1,Y_1],在没有舍入误差的情况下,迭代算法都可以在有限的迭代步骤内通过迭代算法获得自反解,并且最小Frobenius范数自反解可以通过选择一种特殊的初始矩阵对来获得。通过找到最小范数自反解对[〜X〜*,〜Y〜],可以得出Frobenius范数中给定矩阵对[X_0,Y_0]的唯一最佳近似自反解对[〜^ X,〜^ Y]。 *]是新的对应的广义耦合Sylvester矩阵方程(A〜XB-C〜YD,E〜XF-G〜YH)=(〜M,〜N)。其中〜M = M-AX_0B + CY_0D,〜N = N-EX_0F + GY_0H。给出了几个数值例子来说明所提出的迭代算法的有效性。

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