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In mathematics, a Bézout matrix (or Bézoutian or Bezoutiant) is a special square matrix associated with two polynomials, introduced by James Joseph Sylvester in 1853 and Arthur Cayley in 1857 and named after Étienne Bézout.[1][2] Bézoutian may also refer to the determinant of this matrix, which is equal to the resultant of the two polynomials. Bézout matrices are sometimes used to test the stability of a given polynomial.

Definition

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Let and be two complex polynomials of degree at most n,

(Note that any coefficient or could be zero.) The Bézout matrix of order n associated with the polynomials f and g is

where the entries result from the identity

It is an n × n complex matrix, and its entries are such that if we let for each , then:

To each Bézout matrix, one can associate the following bilinear form, called the Bézoutian:

Examples

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  • For n = 3, we have for any polynomials f and g of degree (at most) 3:
  • Let and be the two polynomials. Then:

The last row and column are all zero as f and g have degree strictly less than n (which is 4). The other zero entries are because for each , either or is zero.

Properties

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Applications

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An important application of Bézout matrices can be found in control theory. To see this, let f(z) be a complex polynomial of degree n and denote by q and p the real polynomials such that f(iy) = q(y) + ip(y) (where y is real). We also denote r for the rank and σ for the signature of . Then, we have the following statements:

  • f(z) has n − r roots in common with its conjugate;
  • the left r roots of f(z) are located in such a way that:
    • (r + σ)/2 of them lie in the open left half-plane, and
    • (r − σ)/2 lie in the open right half-plane;
  • f is Hurwitz stable if and only if is positive definite.

The third statement gives a necessary and sufficient condition concerning stability. Besides, the first statement exhibits some similarities with a result concerning Sylvester matrices while the second one can be related to Routh–Hurwitz theorem.

Citations

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References

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