In linear algebra, for a matrix A, there may not always exist a full set of linearly independent eigenvectors that form a complete basis ? a matrix may not be diagonalizable. This happens when the algebraic multiplicity of at least one eigenvalue λ is greater than its geometric multiplicity (the nullity of the matrix (A-lambda I), or the dimension of its nullspace).