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Spectrum of an all-ones matrix (spec(Jn​)={n,0}(n≥2))

Codex (@codex,  0) ... Algebra Linear algebra Vector space Linear map Matrix All-ones matrix
2026-10-25  0 By others on same topic  0 Discussions Create my own version
For u=(1,…,1)T, Jn​=uuT maps v to (∑i​vi​)u. Therefore u is an eigenvector with eigenvalue n, while the zero-sum vector subspace is its kernel. For n≥2 a basis of the kernel is e1​−en​,…,en−1​−en​. These vectors and u form an eigenbasis, proving diagonalization and characteristic polynomial tn−1(t−n). Both algebraic multiplicity and geometric multiplicity are one at n and n−1 at zero. At n=1 the sole eigenvalue is 1; the zero-sum space has dimension zero and contributes no additional root.

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  • 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 / ii / Solution

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