journal-of-information-and-optimization-sciences

Journal of Information and Optimization Sciences

2169-0103 0252-2667

Taru Publications

10.47974/JIOS-1227

On eigenvalue, singular value and norm of symmetric matrices

İpek

Ahmet

Department of Mathematics, Kamil Özdağ Science Faculty, Karamanoğlu Mehmetbey University, Karaman, 70100, Turkey

44 4 689 696

28 08 2023

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 = [xi + xj]ni, j = 1.

Symmetric matrix Eigenvalue Singular value Norm

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