[Math] When is the geometric multiplicity of an eigenvalue smaller than its algebraic multiplicity

eigenvalues-eigenvectorslinear algebramatrices

I was kinda crushed to discover that two different matrices with different properties can actually share the same characteristic polynomial ($-\lambda^3-3\lambda^2+4$):

$A=\begin{pmatrix}
1 & 2& 2\\
-3 &-5 &-3 \\
3& 3 & 1
\end{pmatrix} , B=\begin{pmatrix}
2 & 4& 3\\
-4 &-6 &-3 \\
3& 3 & 1
\end{pmatrix}$

$A$ has an eigenline and an eigenplane (and thus an eigenbasis), whereas $B$ has two eigenlines (so no eigenbasis). The repeated eigenvalue -2 of B corresponds to an eigenspace with basis {(-1,1,0)}.

When is the geometric multiplicity of an eigenvalue smaller than its algebraic multiplicity (as in case B)? Are there general conditions to look for?

Thanks!

Best Answer

The general condition is the presence of nontrivial Jordan blocks.