Matrix used to analyze the stability of a polynomial by its coefficients
This article is about the matrices used to check stability of polynomials. For matrices whose eigenvalues have negative real part, see Hurwitz-stable matrix.
In mathematics, the Routh–Hurwitz matrix,[1] or more commonly just Hurwitz matrix, corresponding to a polynomial is a particular matrix whose nonzero entries are coefficients of the polynomial.
Hurwitz matrix and the Hurwitz stability criterion
is called Hurwitz matrix corresponding to the polynomial . It was established by Adolf Hurwitz in 1895 that a real polynomial with is stable
(that is, all its roots have strictly negative real part) if and only if all the leading principal minors of the matrix are positive:
and so on. The minors are called the Hurwitz determinants. Similarly, if then the polynomial is stable if and only if the principal minors have alternating signs starting with a negative one.
Since the leading principal minors are all positive, all of the roots of have negative real part. Moreover, since is the characteristic polynomial of , it follows that all the eigenvalues of have negative real part, and hence is a Hurwitz-stable matrix.[note 1]
^ abBoth Routh–Hurwitz and Hurwitz-stable matrices are more commonly referred to simply as Hurwitz matrices. To reduce the risk of confusion, this section avoids that terminology.
References
^Horn, Roger; Johnson, Charles (1991). Topics in matrix analysis. p. 101. ISBN0-521-30587-X.