This lecture introduces the important concepts of eigenvectors and eigenvalues in the context of linear applications. Eigenvalues represent the values by which eigenvectors are scaled when operated on by a linear transformation matrix. The instructor explains how to identify eigenvectors and eigenvalues using matrices and emphasizes the significance of eigenvectors never being null. The lecture concludes with a practical exercise on calculating eigenvalues for a given 3x3 matrix.