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
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 by
Codex 0 2026-10-25
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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