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M{2,3},M{2,4}和M{2,3,4}的有效刻画(英文)

Efficient characterization for M{2,3},M{2,4} and M{2,3,4}
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摘要 集合A到集合B上的一个一一映射f称为B的一个有效刻画。本文提出的选逆象指标法(SIIIM)给出集A_1={α:α=(I_s,η)~T∈C_s^(n×s)}到象集B_1={β:β=α(α~*α)^(-1)α~*,α∈A_1}的一个有效刻画公式,并证明了B_1是I{2,3}_s的稠密子集,且I{2,3}_s的每个元素都与B_1的某个元素置换相似,利用上述结果,分别建立了I{2,3}和长方阵广义逆矩阵类M{2,3}.的有效刻画公式。再利用等式I{2,3}_s=I{2,4}_s=I{2,3,4}_s,进一步获得了M{2,4},M{2,3,4}的有效刻画公式.算法3.1可用于无重复地计算I{2,3}_s的任一个元素. In this paper, by selecting inverse image index method, an efficient charac- terization formula from set A1={α:α=(Is,η)^T∈Cs^n×s) onto set B1={β:β=α(α^*α)^-1α^*,a∈A1} is given. Besides, it is shown that each element of I{2, 3}s is permutation similar to an element of B1. Then efficient characterization formulas for I{2, 3} and M{2, 3} are obtained respectively. An interesting thing is B1 is a dense subset of 1{2, 3}s. The fact that I{2, 3}s = I(2, 4)s = I(2, 3, 4}s enables us to obtain the efficient characterization formulas for M{2, 4} and M(2, 3, 4} fluently. Algorithm 3.1 may be used to compute elements of I{2, 3}s and to avoid the repeated computation work.
作者 征道生
出处 《华东师范大学学报(自然科学版)》 CAS CSCD 北大核心 2016年第2期9-19,共11页 Journal of East China Normal University(Natural Science)
关键词 广义逆的有效刻画 矩阵的奇异值分解 正交投影矩阵 映射公式的逆象指数集 稠密子集 efficient characterization of classes of generalized inverses singular value decomposition (SVD) orthogonal projection matrix inverse image index set of a mapping formula dense subset
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参考文献6

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