Sylvester matrix

E571002

The Sylvester matrix is a structured matrix constructed from the coefficients of two polynomials, commonly used to compute their resultant and study common roots in algebra.

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Predicate Object
instanceOf mathematical object
matrix
structured matrix
appearsIn eigenvalue methods for polynomial equations
resultant-based polynomial system solvers
appliesTo multivariate polynomials via specialization
univariate polynomials
constructionMethod rows formed from shifted coefficient vectors of the first polynomial
rows formed from shifted coefficient vectors of the second polynomial
countryOfOrigin United Kingdom
dimensionRule for degrees m and n the Sylvester matrix is of size (m+n)×(m+n)
field algebra
linear algebra
generalization block Sylvester matrix
multivariate Sylvester matrix
hasProperty block Toeplitz structure
can be ill-conditioned for high-degree polynomials
depends linearly on polynomial coefficients
determinant equals the resultant of the polynomials
rectangular in general
square when constructed from two univariate polynomials of fixed degrees
implies vanishing determinant if and only if polynomials have a common root
namedAfter James Joseph Sylvester NERFINISHED
relatedTo Bezout matrix NERFINISHED
Sylvester equation NERFINISHED
Sylvester resultant NERFINISHED
companion matrix
discriminant of a polynomial
resultant
symbol often denoted S(f,g) for polynomials f and g
typicalInput coefficients of two polynomials
usedFor computing polynomial greatest common divisors
computing the resultant of two polynomials
elimination theory
resultant-based root finding
studying common roots of two polynomials
testing whether two polynomials have a common root
usedIn algebraic geometry
computational algebra
computer algebra systems
control theory
numerical linear algebra
signal processing
symbolic computation
systems theory

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James Joseph Sylvester notableWork Sylvester matrix