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M-矩阵Hadamard积最小特征值下界的改进

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针对非奇异M-矩阵和M-矩阵的逆矩阵Hadamard积的最小特征值下界问题,结合M-矩阵的逆矩阵元素的上界、特征值包含域定理以及不等式放缩技巧,获得两个容易计算的、具有可调节参数且只与矩阵元素相关的新估计式,同时给出当A-1 是双随机矩阵时的两个改进的估计式,并通过理论分析和数值例子对比表明新下界比已有的结果更精确,具有一定的优越性和有效性.
A Modification on the Minimum Eigenvalue's Bounds of the Hadamard Product of M-Matrices
In this paper,the minimum lower bound of eigenvalues for the Hadamard product of non-singular M-matrix and the inverse matrix of M-matrix are discussed,two new estimators are obtained,which are easy to calculate,have adjustable parameters and are only related to matrix elements.And two improved estimators are given when A-1is doubly stochastic matrix.It is shown that the new lower bounds are more accurate than some other conclusions through theoretical analysis and numerical examples,and has some advantages and effectiveness.

M-matrixHadamard productdoubly stochastic matrixnew lower bound

周平

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文山学院 人工智能学院,云南 文山 663099

M-矩阵 Hadamard积 双随机矩阵 最小特征值 新下界

2024

文山学院学报
文山学院

文山学院学报

影响因子:0.229
ISSN:1674-9200
年,卷(期):2024.37(5)