User:IssaRice/Linear algebra/Classification of operators

From Machinelearning

Let V be a finite-dimensional inner product space, and let T:VV be a linear transformation. Each row in the table below says the same thing.

Operator name Description in terms of eigenvectors Description in terms of diagonalizability
T is diagonalizable There exists a basis of V consisting of eigenvectors of T T is diagonalizable (there exists a basis β of V with respect to which [T]ββ is a diagonal matrix)
T is normal There exists an orthonormal basis of V consisting of eigenvectors of T T is diagonalizable using an orthonormal basis
T self-adjoint (T is Hermitian) There exists an orthonormal basis of V consisting of eigenvectors of T with real eigenvalues T is diagonalizable using an orthonormal basis and the diagonal entries are all real
T is an isometry
T is positive