Jump to content

Endomorphism/Multiplicities/Diagonalizability/Section

From Wikiversity


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

holds.

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.