In this section, we show that the poles of a state-space model are given
by the eigenvalues of the state-transition matrix .
Beginning again with the transfer function of the general state-space
model,
we may first observe that the poles of are either the same as
or some subset of the poles of
(They are the same when all modes are controllable and
observable [37].)
By Cramer's rule for matrix inversion, the denominator polynomial for
is given by the determinant
where denotes the determinant of the square matrix
. (The determinant of is also often written
.)
In linear algebra, the polynomial
is called the
characteristic polynomial for the matrix .
The roots of the characteristic polynomial are called the
eigenvalues of .
Thus, the eigenvalues of the state transition matrix are the
poles of the corresponding linear time-invariant system. In
particular, note that the poles of the system do not depend on the
matrices , although these matrices, by placing system zeros,
can cause pole-zero cancellations (unobservable or uncontrollable
modes).