# Defective matrix

In linear algebra, a defective matrix is a square matrix that does not have a complete basis of eigenvectors, and is therefore not diagonalizable. In particular, an n × n matrix is defective if and only if it does not have n linearly independent eigenvectors. A complete basis is formed by augmenting the eigenvectors with generalized eigenvectors, which are necessary for solving defective systems of ordinary differential equations and other problems.

A defective matrix always has fewer than n distinct eigenvalues, since distinct eigenvalues always have linearly independent eigenvectors. In particular, a defective matrix has one or more eigenvalues λ with algebraic multiplicity $m>1$ (that is, they are multiple roots of the characteristic polynomial), but fewer than m linearly independent eigenvectors associated with λ. However, every eigenvalue with multiplicity m always has m linearly independent generalized eigenvectors.

A Hermitian matrix (or the special case of a real symmetric matrix) or a unitary matrix is never defective; more generally, a normal matrix (which includes Hermitian and unitary as special cases) is never defective.

## Jordan block

Any Jordan block of size 2×2 or larger is defective. For example, the n × n Jordan block,

$J={\begin{bmatrix}\lambda &1&\;&\;\\\;&\lambda &\ddots &\;\\\;&\;&\ddots &1\\\;&\;&\;&\lambda \end{bmatrix}},$ has an eigenvalue, λ, with multiplicity n, but only one distinct eigenvector,

$v={\begin{bmatrix}1\\0\\\vdots \\0\end{bmatrix}}.$ ## Example

A simple example of a defective matrix is:

${\begin{bmatrix}3&1\\0&3\end{bmatrix}}$ which has a double eigenvalue of 3 but only one distinct eigenvector

${\begin{bmatrix}1\\0\end{bmatrix}}$ (and constant multiples thereof).