Eigenvalues and eigenvectors are foundational principles in the study of linear algebra. They act as crucial tools to break down intricate problems, predominantly in the realm of linear equation systems. In essence, an eigenvector is a non-zero vector, which when subjected to a linear transformation, only alters by a scalar factor. The associated eigenvalue is this particular scalar.