2016Pure MathematicsOpen access

Least Squares Hermitian Solution of Complex Matrix Equation AXB = C

鹏 王

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Abstract

本文利用Moore-Penrose广义逆的方法,探讨了复矩阵方程的最小二乘Hermitian解,推到出了该类方程最小范数约束的最小二乘Hermitian解的解析形式。 Based on Moore-Penrose generalized inverse, by making use of matrix-vector production, an analytical expression of the least-squares Hermitian solution with the minimum-norm of complex matrix equation AXB = C is derived.

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本文利用Moore-Penrose广义逆的方法,探讨了复矩阵方程的最小二乘Hermitian解,推到出了该类方程最小范数约束的最小二乘Hermitian解的解析形式。 Based on Moore-Penrose generalized inverse, by making use of matrix-vector production, an analytical expression of the least-squares Hermitian solution with the minimum-norm of complex matrix equation AXB = C is derived.

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Available abstract

本文利用Moore-Penrose广义逆的方法,探讨了复矩阵方程的最小二乘Hermitian解,推到出了该类方程最小范数约束的最小二乘Hermitian解的解析形式。 Based on Moore-Penrose generalized inverse, by making use of matrix-vector production, an analytical expression of the least-squares Hermitian solution with the minimum-norm of complex matrix equation AXB = C is derived.

Key concepts: Hermitian matrix, Hermitian function, Mathematics, Matrix (chemical analysis), Moore–Penrose pseudoinverse, Inverse, Generalized inverse, Norm (philosophy)

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