Eigenvalues are the special set of scalars associated with a linear system of equations (i.e., a matrix equation) that provide insights into the system's properties. Eigenvectors are the vectors that correspond to these eigenvalues and indicate the directions in which the linear transformation acts by stretching or compressing.