An eigenvalue measures the variance for eigenvector
Properties
- A singular matrix has a 0 eigenvalue and vice versa.
- The product of eigenvalues of a square matrix
= determinant of - The sum of eigenvalue of a square matrix
= trace of
An eigenvalue measures the variance for eigenvector