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Conditions for unique solvability of the matrix equation AX + X (T) B = C

机译:矩阵方程AX + X(T)B = C的唯一可解性的条件

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摘要

The matrix equation AX + XB = C (1) is called the continuous Sylvester equation. Here, A and B are square matrices of possibly different orders m and n, while X and C are mbyn matrices. The famous (continuous) Lyapunov equation AX XA~ T + = C(2) is a particular case of Eq. (1). The equation AXB – X = C (3) is called the discrete Sylvester equation. Here, the matrices are of the same sizes as in (1).
机译:矩阵方程AX + XB = C(1)被称为连续Sylvester方程。此处,A和B是m和n可能不同阶的平方矩阵,而X和C是mbyn矩阵。著名的(连续的)Lyapunov方程AX XA〜T + = C(2)是方程式的一个特例。 (1)。方程AXB – X = C(3)被称为离散西尔维斯特方程。在此,矩阵的大小与(1)相同。

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