Machine Learning, Artificial Intelligence, Data Science.
repeated eigenvalue, it always generates enough linearly independent eigenvectors to diagonalize a vector. If it has repeated eigenvalues, there is no guarantee we have enough eigenvectors. Some will not be diagonalizable. Eigendecomposition If A is a square matrix with N linearly independent