On eigenvalue, singular value and norm of symmetric matrices

被引：0

作者：

Ipek, Ahmet ^{[1
]}

机构：

[1] Karamanoglu Mehmetbey Univ, Kamil Ozdag Sci Fac, Dept Math, TR-70100 Karaman, Turkiye

来源：

JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES | 2023年 / 44卷 / 04期

关键词：

Symmetric matrix; Eigenvalue; Singular value; Norm;

D O I：

10.47974/JIOS-1227

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

Symmetric matrices play an important role in data science. In this paper, we present some new results on the eigenvalues, singular values, the spectral and Euclidean norms of real symmetric matrices in form, A = [x(i) + x(j)](i,j=1)(n).

引用

页码：689 / 696

页数：8

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