IPA: /ˈaɪɡənˌvɛktər/
KK: /ˈaɪɡənˌvɛktər/
A special type of vector that, when a specific matrix is applied to it, only gets stretched or shrunk, not rotated. It is associated with a number called an eigenvalue.
In linear algebra, finding the eigenvector of a matrix is essential for understanding its properties.
Eigenvector is formed from "eigen" (from German, meaning own or self) and "vector" (from Latin "vector", meaning one who carries). The term refers to a vector that is associated with a linear transformation that acts as a scalar multiple of itself, hence it is its own direction or 'own vector'.
Think of 'eigen' meaning 'own' and 'vector' meaning 'to carry'. An eigenvector is a vector that carries its own direction.