SOLUTION OF EQUATION AX + XB = C BY INVERSION OF AN M × M OR N × N MATRIX ∗
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It is often of interest to solve the equation AX + XB = C (1) for X, where X and C are M × N real matrices, A is an M × M real matrix, and B is an N × N real matrix. A familiar example occurs in the Lyapunov theory of stability [1], [2], [3] with B = A . Is also arises in the theory of structures [4]. Using the notation P ×Q to denote the Kronecker product (PijQ) (see [5]) in which each element of P is multipled by Q, we find that the equation written out in full for the MN unknowns x11, x21, . . . , x12, . . . in terms of c11, c21, . . . , c12, . . . becomes
[1] Er-Chieh Ma. A Finite Series Solution of the Matrix Equation $AX - XB = C$ , 1966 .
[2] C. Storey,et al. Analysis and synthesis of stability matrices , 1967 .
[3] G. M.. Introduction to Higher Algebra , 1908, Nature.
[4] Richard Bellman,et al. Introduction to Matrix Analysis , 1972 .
[5] R. A. Smith,et al. Matrix calculations for Liapunov quadratic forms , 1966 .