The Principal Axes Theorem states that any symmetric matrix can be diagonalized by an orthogonal matrix, meaning it can be represented in terms of its eigenvectors and eigenvalues. This theorem is fundamental in simplifying quadratic forms and is pivotal in applications such as principal component analysis and the study of conic sections.