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机构地区:[1]Department of Applied Mathematics, Shanghai University of Finance and Economics [2]Department of Mathematics, University of Texas at Arlington
出 处:《Science China Mathematics》2014年第12期2495-2508,共14页中国科学:数学(英文版)
基 金:supported by National Natural Science Foundation of China(Grant Nos.11101257 and 11371102);the Basic Academic Discipline Program;the 11th Five Year Plan of 211 Project for Shanghai University of Finance and Economics;a visiting scholar at the Department of Mathematics,University of Texas at Arlington from February 2013 toJanuary 2014;supported by National Science Foundation of USA(Grant Nos.1115834and 1317330);a Research Gift Grant from Intel Corporation
摘 要:We are concerned with the maximization of tr(V T AV)/tr(V T BV)+tr(V T CV) over the Stiefel manifold {V ∈ R m×l | V T V = Il} (l 〈 m), where B is a given symmetric and positive definite matrix, A and C are symmetric matrices, and tr(. ) is the trace of a square matrix. This is a subspace version of the maximization problem studied in Zhang (2013), which arises from real-world applications in, for example, the downlink of a multi-user MIMO system and the sparse Fisher discriminant analysis in pattern recognition. We establish necessary conditions for both the local and global maximizers and connect the problem with a nonlinear extreme eigenvalue problem. The necessary condition for the global maximizers offers deep insights into the problem, on the one hand, and, on the other hand, naturally leads to a self-consistent-field (SCF) iteration to be presented and analyzed in detail in Part II of this paper.We are concerned with the maximization of tr(VTAV)/tr(VT BV)+ tr(VT CV)over the Stiefel manifold {V ∈ Rm×| V T V = It}(t < m), where B is a given symmetric and positive definite matrix, A and C are symmetric matrices, and tr() is the trace of a square matrix. This is a subspace version of the maximization problem studied in Zhang(2013), which arises from real-world applications in, for example,the downlink of a multi-user MIMO system and the sparse Fisher discriminant analysis in pattern recognition.We establish necessary conditions for both the local and global maximizers and connect the problem with a nonlinear extreme eigenvalue problem. The necessary condition for the global maximizers offers deep insights into the problem, on the one hand, and, on the other hand, naturally leads to a self-consistent-field(SCF)iteration to be presented and analyzed in detail in Part II of this paper.
关 键 词:trace ratio Rayleigh quotient Stiefel manifold nonlinear eigenvalue problem optimality condition EIGENSPACE
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