学术报告:Theoretical and Applied Aspects of the Sum of the k Largest Eigenvalues of Symmetric Matrices

报告人:Kinkar Chandra Das教授

报告时间:2026年8月18日上午9点

报告地点:数学与信息学院数学系715教室

报告摘要:In this talk, we present some upper bounds for the sum of the k largest eigenvalues of symmetric matrices. When applied to the adjacency matrix of a graph, thesebounds improve upon a related result of Mohar [On the sum of k largest eigenvalues of graphs and symmetric matrices, J. Combin. Theory Ser. B 99(2009) 306–313]. Moreover, for the Laplacian matrix, we show that Brouwer’swell-known conjecture holds for small values of k for almost all graphs, representinga meaningful step toward its full resolution.

报告人简介:Kinkar Chandra Das是韩国成均馆大学数学系教授,他的主要研究兴趣包括谱图理论、代数图论、分子图论、图的度序列以及图染色,已在国际主流期刊上发表研究论文超过400篇(其中SCIE论文约390篇),他还参与撰写了多部由Springer、Elsevier及其他国际知名出版社出版的学术著作。Das教授曾担任《MATCH Communications in Mathematical and in Computer Chemistry》和《Journal of Applied Mathematics and Computing》等多种SCI国际期刊的副主编或编委。

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