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Schur–Horn theorem : ウィキペディア英語版
Schur–Horn theorem
In mathematics, particularly linear algebra, the Schur–Horn theorem, named after Issai Schur and Alfred Horn, characterizes the diagonal of a Hermitian matrix with given eigenvalues. It has inspired investigations and substantial generalizations in the setting of symplectic geometry. A few important generalizations are Kostant's convexity theorem, Atiyah–Guillemin–Sternberg convexity theorem, Kirwan convexity theorem.
== Statement ==

Theorem. Let \mathbf=\_^N and \mathbf=\_^N be vectors in \mathbb^n such that their entries are in non-increasing order. There is a Hermitian matrix with diagonal values \_^N and eigenvalues \_^N if and only if
: \sum_^n d_i \leq \sum_^n \lambda_i \qquad n=1,2,\ldots,N
and
: \sum_^N d_i= \sum_^N \lambda_i.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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