Use matrix notation and set , , . Contracting the proposed decomposition with and taking its trace, using the stipulated transverse and trace conditions, givesThese relations determine both scalars and the transverse vector uniquely:The last expression obeys directly.
To construct and check the remaining symmetric matrix, use the orthogonal projection matrix onto , and defineBoth terms are symmetric, , andExpand with . The mixed terms are and , while and . Consequentlyand the displayed coefficient equals . This proves existence as well as the axis decomposition of a symmetric matrix formulas.
For the dimension count, choose an orthonormal basis whose third axis is parallel to . The vector has two transverse components. The conditions and symmetry set the third row and column of to zero, leaving a symmetric block. Its zero trace leaves two independent entries, of the form . Together with the two independent scalars , the total is parameters, exactly , the dimension of real symmetric matrices. The recovery formulas also prove uniqueness, so this is an actual parameterization without redundant degrees of freedom.
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