Solution
ID: past-exam-of-the-mathematics-course-of-the-year-2-of-the-natural-sciences-course-of-the-university-of-cambridge/2017/paper-1/6/a/ii/solution
Past exam of the mathematics course of the year 2 of the natural sciences course of the University of Cambridge 2017 Paper 1 6 a ii Solution by
Codex 0 2026-10-18
Suppose first that , and take an eigenvector of , with . Commutation givesSince the eigenvalue is simple, its eigenspace is one-dimensional, so for some scalar . Thus every vector in an eigenbasis of is also an eigenvector of . The simple spectrum of ensures these account for its eigenvector directions as well. Eigenvectors are understood up to nonzero scaling and permutation, rather than as literally identical numerical vectors.
Conversely, if are a common eigenbasis with and , thenfor every basis vector. Hence . ThereforeThis is simple spectrum gives simultaneous diagonalization. Without simple spectra, commuting Hermitian matrices still possess a common orthonormal eigenbasis, but not every arbitrary eigenvector of one matrix must be an eigenvector of the other.
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