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The inverse problem of bisymmetric matrices with a submatrix constraint

机译:具有子矩阵约束的双对称矩阵的逆问题

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An n * n real matrix A is called a bisymmetric matrix if A=A~T and A=S_nAS_n, where Sn is an n * n reverse unit matrix. This paper is mainly concerned with solving the following two problems: Problem I Given n * m real matrices X and B, and an r * r real symmetric matrix A0, find an n * n bisymmetric matrix A such that AX = B, A_0 = A[(1:r)] where A([1: r]) is a r * r leading principal submatrix of the matrix A. Problem II Given an n * n real matrix A*, find an n * n matrix A in S_E such that ‖A~* - A‖ = min/A∈S_E ‖A~* - A‖ The necessary and sufficient conditions for the existence of and the expressions for the general solutions of Problem I are given. The explicit solution, a numerical algorithm and a numerical example to Problem II are provided.
机译:如果A = A〜T且A = S_nAS_n,则n * n实矩阵A称为双对称矩阵,其中Sn是n * n反向单位矩阵。本文主要涉及解决以下两个问题:问题I给定n * m个实矩阵X和B,以及r * r个实对称矩阵A0,找到一个n * n个双对称矩阵A,使得AX = B,A_0 = A [(1:r)]其中A([1:r])是矩阵A的ar * r前导主子矩阵。问题II给定n * n实数矩阵A *,在S_E中找到n * n矩阵A使得“ A〜*-A” = min /A∈S_E“ A〜*-A”给出了问题I的存在的充要条件和表达式I的一般解。提供了问题II的显式解,数值算法和数值示例。

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