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Solutions with special structure to the linear matrix equation AX = B

机译:线性矩阵方程AX = B的特殊结构解

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In this article we solve the following three kinds of problems. First, some formulas for the minimal rank of the submatrices in a solution X of matrix equation AX = B and the minimal and maximal rank of X itself are derived by using the matrix rank method. From these formulas, necessary and sufficient conditions are given for X to be nonsingular or the sub-matrices to be zero, respectively. Second, some formulas for the minimal rank of X + X, X - X* and the corresponding expressions of submatrices of X are investigated. Combined with matrix decomposition, necessary and sufficient conditions are given for the existence of solutions to be Hermitian, local Hermitian, Skew-Hermitian and local Skew-Hermitian, respectively. Third, necessary and sufficient conditions are given for the existence of solutions to be local positive (negative) semidefinite, and for some Hermitian solution with zero submatrix, the structure form of a positive (negative) semidefinite solution are obtained using results of inertia.
机译:在本文中,我们解决了以下三种问题。首先,使用矩阵秩方法导出矩阵方程AX = B的解X中子矩阵的最小秩以及X本身的最小和最大秩的一些公式。根据这些公式,分别给出了X为非奇异或子矩阵为零的充要条件。其次,研究了X + X,X-X *的最小秩的一些公式以及X的子矩阵的相应表达式。结合矩阵分解,给出了分别为Hermitian,局部Hermitian,Skew-Hermitian和局部Skew-Hermitian的解的存在的充要条件。第三,给出了局部正(负)半定解的存在的充要条件,对于子矩阵为零的某些Hermitian解,利用惯性结果获得了正(负)半定解的结构形式。

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