The trace sums the diagonal entries, so . The two unit vectors have squared Euclidean norms one, giving .
Write with . The orthonormality conditions and give
Consequently . It is the orthogonal projection matrix onto the orthogonal complement of the linear span of .
The matrix product is . Thus , and the nonzero vector is in its kernel. Hence is singular and . This includes , when span the whole space and .
The transpose reverses a matrix product. Since , we have . Therefore is a symmetric matrix.
Apply trace orthogonality of symmetric and antisymmetric matrices. In detail, invariance of the trace under transpose and its cyclic property give
Therefore . The negative sign comes from , while .

Articles by others on the same topic (0)

There are currently no matching articles.