The transpose reverses the product order, so the definition is
If and are orthogonal matrices, then and . Hence
Thus is orthogonal. The original PDF includes the transpose of the entire product , which is essential to the expression used here.
Use Einstein notation, with repeated suffixes summed. The matrix multiplication and transpose give
Interchange the free indices, then relabel the dummy indices :
The negative sign uses . Therefore is skew-symmetric. No orthogonality of is needed for this part: matrix congruence preserves skew-symmetry.
Collecting the coefficients in the given equation order yields the system of linear equations in matrix form
The determinant is , so there is exactly one solution whenever . A zero determinant does not alone distinguish inconsistency from infinitely many solutions, so check those values separately.
Eliminate and using and . The remaining equation is
For this reads , and for it reads . Both are inconsistent. Consequently
and each permitted value has a unique solution.
For , the reduced equation gives . Back substitution into and gives all solutions:
The nonzero determinant proves that there are no other solutions at these parameter values.
Let . The commutativity condition gives
Equality is equivalent to and . Therefore
Each displayed matrix commutes with , since it is a polynomial in . The centralizer of a nonscalar two by two matrix explains why this two-parameter form is typical.
The matrix trace and determinant of the matrices in part (i) are
Since and , the extra conditions force and . Hence
Both choices are real, commute with , and satisfy the required trace and determinant conditions.

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