my question is a general one, can a unit vector after transformation have the length longer than length of the eigenvector which highest eigenvalue? is there any proof?
purpose is that I want to know in the principal component analysis is the eigenvector which highest eigenvalue is the direction with widest data variance in that direction or it's just better option or even calcutable.