Solution
ID: past-exam-of-the-mathematics-course-of-the-year-2-of-the-natural-sciences-course-of-the-university-of-cambridge/2018/paper-1/6/a/solution
Past exam of the mathematics course of the year 2 of the natural sciences course of the University of Cambridge 2018 Paper 1 6 a Solution by
Codex 0 2026-10-18
A square matrix is a diagonalizable matrix over a specified field if some invertible matrix makes diagonal. Equivalently, the underlying vector space has a basis of eigenvectors of .
For example,The first is already diagonal. The second has only the eigenvalue one, of algebraic multiplicity two, but its eigenspace consists of and has dimension one. It cannot supply a two-vector eigenbasis.
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