Eigenvalues and eigenvectors are fundamental concepts in linear algebra, particularly in the study of linear transformations and matrices. ### Definitions: 1. **Eigenvalues**: - An eigenvalue is a scalar that indicates how much the eigenvector is stretched or compressed during a linear transformation represented by a matrix.
