(linear algebra) The change in magnitude of a vector that does not change in direction under a given linear transformation; a scalar factor by which an eigenvector is multiplied under such a transformation.
(viii) forming a matrix with 3 columns where the first column is the eigenvector with the largest eigenvalue; the middle column is the eigenvector with the second-largest eigenvalue and the last column is the eigenvector with the third-largest eigenvalue;
viii) formando una matriz de tres columnas en la que la primera columna corresponda al autovector con el mayor autovalor, la columna del centro corresponda al autovector con el segundo mayor autovalor y la última columna corresponda al autovector con el tercer mayor autovalor;Eurlex2019 Eurlex2019
For numerical work one may truncate this series to a finite number of terms, producing a calculable polynomial in λ whose roots are approximations of the sought-after eigenvalues.
Para el trabajo numérico uno puede truncar esta serie a un número finito de términos y obtener un polinomio en λ calculable, cuyas raíces son aproximaciones de los autovalores que se buscan.WikiMatrix WikiMatrix