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- W2945136448 abstract "Given $n times n$ real symmetric matrices $A_1, dots, A_m$, the following {it spectral minimax} property holds: $$min_{X in mathbf{Delta}_n} max_{y in S_m} sum_{i=1}^m y_iA_i bullet X=max_{y in S_m} min_{X in mathbf{Delta}_n} sum_{i=1}^m y_iA_i bullet X,$$ where $S_m$ is the simplex and $mathbf{Delta}_n$ the spectraplex. For diagonal $A_i$'s this reduces to the classic minimax." @default.
- W2945136448 created "2019-05-29" @default.
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- W2945136448 date "2019-05-23" @default.
- W2945136448 modified "2023-09-27" @default.
- W2945136448 title "A Spectral Generalization of Von Neumann Minimax Theorem" @default.
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- W2945136448 hasPublicationYear "2019" @default.
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