Solution

ID: past-exam-of-the-year-1-of-the-computer-science-course-of-the-university-of-oxford/2022/digital-systems-linear-algebra-introduction-to-formal-proof-resit/6/b/iii/solution

The decomposition into and the zero-sum vector subspace gives characteristic polynomial . For , has algebraic multiplicity and geometric multiplicity one; zero has both multiplicities . At , only the eigenvalue 1 occurs, with both multiplicities one. Referring to a multiplicity zero for the absent root zero is merely a bookkeeping convention, not an assertion that it is an eigenvalue.

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