Solution
ID: past-exam-of-the-mathematics-course-of-the-year-2-of-the-natural-sciences-course-of-the-university-of-cambridge/2023/paper-1/5/c/solution
Past exam of the mathematics course of the year 2 of the natural sciences course of the University of Cambridge 2023 Paper 1 5 c Solution by
Codex 0 2026-10-18
The plane spanned by is an invariant subspace for , sinceIts orthogonal complement is also invariant: for orthogonal to both, and . The restriction of the real symmetric matrix to this nonempty complement therefore has a unit eigenvector , by the spectral theorem for real symmetric matrices.
If its eigenvalue is , the argument in part (b) shows that is a unit eigenvector orthogonal to . It also lies in the same complement; explicitly,Repeating the construction decomposes every negative eigenspace into orthogonal pairs. The zero eigenspace has dimension for some number of pairs, and therefore has the same parity as . This is the paired eigenspaces of the square of a real skew-symmetric matrix property.
For , there can be distinct negative eigenvalues and no zero, or at most negative ones plus zero, because a nonempty zero eigenspace has dimension at least two. For , there are at most distinct negative ones plus the mandatory zero. HenceThe bound is attained by skew two-by-two blocks with distinct positive parameters, adding one zero direction when is odd.
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