enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Monic polynomial - Wikipedia

    en.wikipedia.org/wiki/Monic_polynomial

    In algebra, a monic polynomial is a non-zero univariate polynomial (that is, a polynomial in a single variable) in which the leading coefficient (the nonzero coefficient of highest degree) is equal to 1.

  3. Companion matrix - Wikipedia

    en.wikipedia.org/wiki/Companion_matrix

    The roots of the characteristic polynomial () are the eigenvalues of ().If there are n distinct eigenvalues , …,, then () is diagonalizable as () =, where D is the diagonal matrix and V is the Vandermonde matrix corresponding to the λ 's: = [], = [].

  4. Newton's identities - Wikipedia

    en.wikipedia.org/wiki/Newton's_identities

    Applied to the monic polynomial + = with all coefficients a k considered as free parameters, this means that every symmetric polynomial expression S(x 1,...,x n) in its roots can be expressed instead as a polynomial expression P(a 1,...,a n) in terms of its coefficients only, in other words without requiring knowledge of the roots.

  5. Algebraic number field - Wikipedia

    en.wikipedia.org/wiki/Algebraic_number_field

    A polynomial with this property is known as a monic polynomial. In general it will have rational coefficients. In general it will have rational coefficients. If, however, the monic polynomial's coefficients are actually all integers, f {\displaystyle f} is called an algebraic integer .

  6. Bernstein–Sato polynomial - Wikipedia

    en.wikipedia.org/wiki/Bernstein–Sato_polynomial

    The Bernstein–Sato polynomial can also be defined for products of powers of several polynomials (Sabbah 1987). In this case it is a product of linear factors with rational coefficients. [citation needed] Nero Budur, Mircea Mustață, and Morihiko Saito generalized the Bernstein–Sato polynomial to arbitrary varieties.

  7. Completing the square - Wikipedia

    en.wikipedia.org/wiki/Completing_the_square

    Given a quadratic polynomial of the form + + it is possible to factor out the coefficient a, and then complete the square for the resulting monic polynomial. Example: + + = [+ +] = [(+) +] = (+) + = (+) + This process of factoring out the coefficient a can further be simplified by only factorising it out of the first 2 terms.

  8. Resolvent cubic - Wikipedia

    en.wikipedia.org/wiki/Resolvent_cubic

    The roots of this polynomial are 0 and the roots of the quadratic polynomial y 2 + 2a 2 y + a 2 2 − 4a 0. If a 2 2 − 4a 0 < 0, then the product of the two roots of this polynomial is smaller than 0 and therefore it has a root greater than 0 (which happens to be −a 2 + 2 √ a 0) and we can take α as the square

  9. Minimal polynomial (linear algebra) - Wikipedia

    en.wikipedia.org/wiki/Minimal_polynomial_(linear...

    In linear algebra, the minimal polynomial μ A of an n × n matrix A over a field F is the monic polynomial P over F of least degree such that P(A) = 0. Any other polynomial Q with Q(A) = 0 is a (polynomial) multiple of μ A. The following three statements are equivalent: λ is a root of μ A, λ is a root of the characteristic polynomial χ A ...