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The Constrained Solutions of two Matrix Equations

机译:两个矩阵方程的约束解

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We study the symmetric positive semidefinite solution of the matrix equation AX_1A~T+ BX_2A~T=C, where A is a given real m×n matrix, B is a given real m×p matrix, and C is a given Real m ×m matrix, with m, n, p positive integers; and the bisymmetric positive semidefinite solution Of the matrix equation D~TXD=C, where D is a given real n×m matrix, C is a given real m×m Matrix, with m, n positive integers. By making use of the generalize singular value decomposition, we Derive general analytic formulae, and present necessary and sufficient conditions for guaranteeing the Existence of these solutions.
机译:我们研究矩阵方程AX_1A〜T + BX_2A〜T = C的对称正半定解,其中A是给定的实数m×n矩阵,B是给定的实数m×p矩阵,C是给定的实数m×m矩阵具有m,n,p个正整数的矩阵;矩阵方程D〜TXD = C的双对称正半定解,其中D是给定的实n×m矩阵,C是给定的实m×m矩阵,具有m,n个正整数。通过利用广义奇异值分解,我们推导了一般解析公式,并给出了保证这些解存在的必要和充分条件。

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