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非奇异M-矩阵Hadamard积的最小特征值的改进估计式 被引量:1

Some New Estimations for the Minimum Eigenvalue of Hadamard Product of M-Matrices
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摘要 根据矩阵的Hadamard积和最小特征值的定义以及M-矩阵的性质特点,对不同情况下最小特征值τ(BA-1)和τ(AA-1)做了进一步研究(A,B为非奇异M-矩阵),给出了最小特征值τ(BA-1)和τ(AA-1)2个改进估计式,并从理论上证明了新估计式在一定条件下改进了现有文献的结果。数值算例结果也验证了新估计式改进了Fiedler和Markham的猜想以及现有文献的结果,提高了现有估计式的估计精确度。 According to the definition of the Hadamard product and the minimum eigenvalue of a matrix,and the properties of M-Matrices,some new lower bounds ofτ(BA-1)andτ(AA-1)are further researched,two improved estimations are given respectively.It is proved that the new estimating formule improve the results of some cases;numerical example show that these formulas are more accurate than those ot several existing results.
作者 周平
出处 《长江大学学报(自科版)(上旬)》 CAS 2015年第5期1-5,共5页 JOURNAL OF YANGTZE UNIVERSITY (NATURAL SCIENCE EDITION) SCI & ENG
基金 云南省科技厅应用基础研究青年项目(2013FD052) 云南省教育厅科学研究项目(2013Y585) 文山学院重点学科建设项目(12WSXK01)
关键词 非奇异M-矩阵 HADAMARD积 双随机矩阵 最小特征值 M-Matrixces Hadamard product doubly stochastic smallest eigenvalue
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参考文献8

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