Endomorphism/Multiplicities/Diagonalizability/Section
Let denote a field, and let denote a finite-dimensional vector space. Let
denote a linear mapping. Then is diagonalizable if and only if the characteristic polynomial is a product of linear factors and if for every zero with algebraic multiplicity , the identity
If is
diagonalizable,
then we can assume at once that is described by a
diagonal matrix
with respect to a basis of eigenvectors. The diagonal entries of this matrix are the eigenvalues, and these occur as often as their
geometric multiplicity
tells us. The
characteristic polynomial
can be read off directly from the diagonal matrix, every diagonal entry constitutes a linear factor .
For the other direction, let denote the different eigenvalues, and let
denote the (geometric and algebraic) multiplicities. Due to the condition, the characteristic polynomial factors in linear factors. Therefore, the sum of these numbers equals . Because of fact, the sum of the eigenspaces
is direct. By the condition, the dimension on the left is also , so that we have equality. Due to
fact,
is diagonalizable.
Let denote a field, and let denote a -vector space of finite dimension. Let
be a linear mapping. Suppose that the characteristic polynomial factors into different linear factors. Then is
diagonalizable.Proof
This gives also a new proof for
fact.