The well-known Lyapunov's theorem in matrix theory/continuous dynamical sys
tems asserts that a (complex) square matrix A is positive stable (i.e., all
eigenvalues lie in the open right-half plane) if and only if there exists
a positive definite matrix X such that AX + XA* is positive definite. In th
is paper, we prove a complementarity form of this theorem: A is positive st
able if and only if for any Hermitian matrix Q, there exists a positive sem
idefinite matrix X such that AX + XA* + Q is positive semidefinite and X[AX
+ XA* + Q] = 0. By considering cone complementarity problems corresponding
to linear transformations of the form I - S, we show that a (complex) matr
ix A has all eigenvalues in the open unit disk of the complex plane if and
only if for every Hermitian matrix Q, there exists a positive semidefinite
matrix X such that X - AXA* + Q is positive semidefinite and X[X - AXA* + Q
] = 0. By specializing Q (to -1), we deduce the well-known Stein's theorem
in discrete linear dynamical systems: A has all eigenvalues in the open uni
t disk if and only if there exists a positive definite matrix X such that X
- AXA* is positive definite. (C) 2000 Elsevier Science Inc, All rights res
erved.