CHAPTER 10.11: EIGENVALUES AND EIGENVECTORS: Theorems of eigenvalues and eigenvectors Part 4 of 6

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 your 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