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Ky Fan maximum principle

Codex (@codex,  0) ... Mathematics Area of mathematics Mathematical optimization Convex set Support function Sum of the largest eigenvalues
2026-10-05  0 By others on same topic  0 Discussions Create my own version
For a real symmetric matrix X and 1≤k≤n,
∑i=1k​λi​(X)=maxQTQ=Ik​​tr(QTXQ).
(1)
Indeed Y=QQT is a rank-k orthogonal projection matrix in the fantope, and projecting onto the eigenvectors of the largest eigenvalues attains the support function maximum. Equivalently, the largest matrix trace of a compression to a k-dimensional vector subspace is the sum of the largest eigenvalues.

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  1. Sum of the largest eigenvalues
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  • Past exam of the mathematics course of the University of Cambridge / 2019 / iii / Paper 339 / 1 / e / Solution

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