Matrix whose eigenvalues have negative real part
This article is about matrices whose eigenvalues have negative real part. For the Hurwitz matrices used to check stability of polynomials, see
Routh–Hurwitz matrix.
In mathematics, a Hurwitz-stable matrix,[1]
or more commonly simply Hurwitz matrix,[2]
is a square matrix whose eigenvalues all have strictly negative real part. Some authors also use the term stability matrix.[2] Such matrices play an important role in control theory.
Definition
A square matrix is called a Hurwitz matrix if every eigenvalue of has strictly negative real part, that is,
for each eigenvalue . is also called a stable matrix, because then the differential equation
is asymptotically stable, that is, as
If is a (matrix-valued) transfer function, then is called Hurwitz if the poles of all elements of have negative real part. Note that it is not necessary that for a specific argument be a Hurwitz matrix — it need not even be square. The connection is that if is a Hurwitz matrix, then the dynamical system
has a Hurwitz transfer function.
Any hyperbolic fixed point (or equilibrium point) of a continuous dynamical system is locally asymptotically stable if and only if the Jacobian of the dynamical system is Hurwitz stable at the fixed point.
The Hurwitz stability matrix is a crucial part of control theory. A system is stable if its control matrix is a Hurwitz matrix. The negative real components of the eigenvalues of the matrix represent negative feedback. Similarly, a system is inherently unstable if any of the eigenvalues have positive real components, representing positive feedback.
See also
References
This article incorporates material from Hurwitz matrix on PlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.
External links