A selection of useful things to know about eigenvectors and eigenvalues. We connect eigenvalues with a matrice's determinant and trace (the sum of the entries on the main diagonal), show how eigenvalues can be shifted, and investigate when eigenvectors might be linearly independent (foreshadowing: diagonalization).
Best consumed by 2016/11/07
