1967Electronics LettersRequires access

Solution of the Lyapunov matrix equation with a diagonal input matrix, obtained without matrix inversion

H.M. Power

Open publisher page 6 citations

Abstract

The solution of the Lyapunov matrix equation A′L+LA=−K with K=diag (λi), i=1, 2,…, n, is obtained via the Schwarz canonical form, by a method which requires no matrix inversion. The matrixes involved are formed by simple recursive schemes. A restriction on validity is that, corresponding to each nonzero λi and the ndimensional row vector y′, the only nonzero element of which is unity in the ith position, the n×n matrix Ni, the rows of which, taken in sequence, are y′, y′A, …, y′An−1, must be nonsingular. At the cost of a matrix inversion, the scheme may be extended to the case that K is any symmetric real matrix.

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What this paper is about

The solution of the Lyapunov matrix equation A′L+LA=−K with K=diag (λi), i=1, 2,…, n, is obtained via the Schwarz canonical form, by a method which requires no matrix inversion. The matrixes involved are formed by simple recursive schemes. A restriction on validity is that, corresponding to each nonzero λi and the ndimensional row vector y′, the only nonzero element of which is unity in the ith position, the n×n matrix Ni, the rows of which, taken in sequence, are y′, y′A, …, y′An−1, must be nonsingular. At the cost of a matrix inversion, the scheme may be extended to the case that K is any symmetric real matrix.

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Available abstract

The solution of the Lyapunov matrix equation A′L+LA=−K with K=diag (λi), i=1, 2,…, n, is obtained via the Schwarz canonical form, by a method which requires no matrix inversion. The matrixes involved are formed by simple recursive schemes. A restriction on validity is that, corresponding to each nonzero λi and the ndimensional row vector y′, the only nonzero element of which is unity in the ith position, the n×n matrix Ni, the rows of which, taken in sequence, are y′, y′A, …, y′An−1, must be nonsingular. At the cost of a matrix inversion, the scheme may be extended to the case that K is any symmetric real matrix.

Key concepts: Block matrix, Mathematics, Diagonal matrix, Matrix (chemical analysis), Invertible matrix, Square matrix, Symmetric matrix, Matrix splitting

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