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  2. Characteristic polynomial - Wikipedia

    en.wikipedia.org/wiki/Characteristic_polynomial

    In linear algebra, the characteristic polynomial of a square matrix is a polynomial which is invariant under matrix similarity and has the eigenvalues as roots. It has the determinant and the trace of the matrix among its coefficients.

  3. Faddeev–LeVerrier algorithm - Wikipedia

    en.wikipedia.org/wiki/Faddeev–LeVerrier_algorithm

    Urbain Le Verrier (1811–1877) The discoverer of Neptune.. In mathematics (linear algebra), the Faddeev–LeVerrier algorithm is a recursive method to calculate the coefficients of the characteristic polynomial = of a square matrix, A, named after Dmitry Konstantinovich Faddeev and Urbain Le Verrier.

  4. 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: = [], = [].

  5. Characteristic equation - Wikipedia

    en.wikipedia.org/wiki/Characteristic_equation

    Characteristic equation may refer to: Characteristic equation (calculus), used to solve linear differential equations; Characteristic equation, the equation obtained by equating to zero the characteristic polynomial of a matrix or of a linear mapping; Method of characteristics, a technique for solving partial differential equations

  6. Graph polynomial - Wikipedia

    en.wikipedia.org/wiki/Graph_polynomial

    Important graph polynomials include: The characteristic polynomial, based on the graph's adjacency matrix. The chromatic polynomial, a polynomial whose values at integer arguments give the number of colorings of the graph with that many colors. The dichromatic polynomial, a 2-variable generalization of the chromatic polynomial

  7. Matrix polynomial - Wikipedia

    en.wikipedia.org/wiki/Matrix_polynomial

    The characteristic polynomial of a matrix A is a scalar-valued polynomial, defined by () = (). The Cayley–Hamilton theorem states that if this polynomial is viewed as a matrix polynomial and evaluated at the matrix A {\displaystyle A} itself, the result is the zero matrix: p A ( A ) = 0 {\displaystyle p_{A}(A)=0} .

  8. Characteristic equation (calculus) - Wikipedia

    en.wikipedia.org/wiki/Characteristic_equation...

    [3] [4] The characteristic equation can only be formed when the differential or difference equation is linear and homogeneous, and has constant coefficients. [1] Such a differential equation, with y as the dependent variable , superscript ( n ) denoting n th - derivative , and a n , a n − 1 , ..., a 1 , a 0 as constants,

  9. Method of characteristics - Wikipedia

    en.wikipedia.org/wiki/Method_of_characteristics

    For a first-order PDE, the method of characteristics discovers so called characteristic curves along which the PDE becomes an ODE. [ 1 ] [ 2 ] Once the ODE is found, it can be solved along the characteristic curves and transformed into a solution for the original PDE.