Consider the diagonal matrix and a Jordan block
Both have characteristic polynomial , trace , determinant , and eigenvalue with algebraic multiplicity two. But is the whole plane, whereas vanishes only when . Their eigenspaces have different dimensions, so eigenvectors under similarity rules out matrix similarity. There is an even shorter proof: for every invertible matrix .
The missing information is how the linear operator acts beyond its eigenvectors. Here , while but . Their minimal polynomials are respectively and . Over a field where the characteristic polynomial splits, the full sizes of the Jordan blocks, encoded by the Jordan normal form, determine the matrix similarity class.