Past exam of the mathematics course of the University of Cambridge 2005 ia Paper 1 8A Solution Created 2026-09-24 Updated 2026-10-14
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.
Let , and . Taking the trace of the proposed decomposition givessince and . Contracting twice with gives . Solving these two scalar equations yieldsA single contraction gives , and . HenceFinally setThis is manifestly symmetric. The formulas give ; substituting them into gives zero, and taking the trace gives . Since is symmetric, also holds.
A geometric form makes the axis decomposition of a symmetric matrix explicit. With the transverse orthogonal projection ,Here is half the transverse trace and is its symmetric traceless rank-two tensor part. Every term was forced by contractions, so the decomposition is unique.
The required contractions areSubstituting into the axis decomposition of a symmetric matrix givesIndeed , and . Adding reconstructs the given tensor.