enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Characteristic equation (calculus) - Wikipedia

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

    The characteristic roots (roots of the characteristic equation) also provide qualitative information about the behavior of the variable whose evolution is described by the dynamic equation. For a differential equation parameterized on time, the variable's evolution is stable if and only if the real part of each root is negative.

  3. Characteristic polynomial - Wikipedia

    en.wikipedia.org/wiki/Characteristic_polynomial

    The characteristic equation, also known as the determinantal equation, [1] [2] [3] is the equation obtained by equating the characteristic polynomial to zero. In spectral graph theory , the characteristic polynomial of a graph is the characteristic polynomial of its adjacency matrix .

  4. Eigenvalues and eigenvectors - Wikipedia

    en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors

    The corresponding eigenvalue, characteristic value, or characteristic root is the multiplying factor (possibly negative). Geometrically, vectors are multi-dimensional quantities with magnitude and direction, often pictured as arrows. A linear transformation rotates, stretches, or shears the vectors upon which it acts. Its eigenvectors are those ...

  5. Bendixson's inequality - Wikipedia

    en.wikipedia.org/wiki/Bendixson's_inequality

    In mathematics, Bendixson's inequality is a quantitative result in the field of matrices derived by Ivar Bendixson in 1902. [1] [2] The inequality puts limits on the imaginary and real parts of characteristic roots (eigenvalues) of real matrices. [3]

  6. Minimal polynomial (linear algebra) - Wikipedia

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

    For example, if A is a multiple aI n of the identity matrix, then its minimal polynomial is X − a since the kernel of aI n − A = 0 is already the entire space; on the other hand its characteristic polynomial is (X − a) n (the only eigenvalue is a, and the degree of the characteristic polynomial is always equal to the dimension of the space).

  7. Purely inseparable extension - Wikipedia

    en.wikipedia.org/wiki/Purely_inseparable_extension

    An algebraic extension is a purely inseparable extension if and only if for every , the minimal polynomial of over F is not a separable polynomial. [1] If F is any field, the trivial extension is purely inseparable; for the field F to possess a non-trivial purely inseparable extension, it must be imperfect as outlined in the above section.

  8. Stable polynomial - Wikipedia

    en.wikipedia.org/wiki/Stable_polynomial

    In the context of the characteristic polynomial of a differential equation or difference equation, a polynomial is said to be stable if either: all its roots lie in the open left half-plane, or; all its roots lie in the open unit disk.

  9. Constant-recursive sequence - Wikipedia

    en.wikipedia.org/wiki/Constant-recursive_sequence

    If the roots of the characteristic polynomial are not distinct, and is a root of multiplicity, then () in the formula has degree . For instance, if the characteristic polynomial factors as ( x − r ) 3 {\displaystyle (x-r)^{3}} , with the same root r occurring three times, then the n {\displaystyle n} th term is of the form s n = ( a + b n + c ...