91. Eigenvectors & Eigenvalues

91.1. Eigen

When a transformation is applied to a vector , it is equivalent to scaling the vector by a factor of . The vector is called an eigenvector of the transformation , and the scalar is called the corresponding eigenvalue.

An matrix has exactly eigenvalues because the eigenvalues are the roots of its characteristic polynomial, which is degree

Characteristic polynomial: