In this segment we are talking about some
theorems of eigenvalues and eigenvectors and
one of the theorems is that eigenvalues of
symmetric matrices are real so what that basically
means is that if you have a matrix which is
symmetric where you re A transpose same as
A itself then the eigenvalues will always
be real no matter what the increase in the
matrix are and that's the end of this segment
