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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=175449"><dc:title>Vertex partitioning and $p$-energy of graphs</dc:title><dc:creator>Akbari,	Saieed	(Avtor)
	</dc:creator><dc:creator>Kumar,	Hitesh	(Avtor)
	</dc:creator><dc:creator>Mohar,	Bojan	(Avtor)
	</dc:creator><dc:creator>Pragada,	Shivaramakrishna	(Avtor)
	</dc:creator><dc:subject>adjacency matrix</dc:subject><dc:subject>graph energy</dc:subject><dc:subject>positive p-energy</dc:subject><dc:subject>negative p-energy</dc:subject><dc:subject>Schatten p-norm</dc:subject><dc:subject>vertex partition</dc:subject><dc:description>For a Hermitian matrix $A$ of order $n$ with eigenvalues $\lambda_1(A)\ge \cdots\ge \lambda_n(A)$, define $\mathcal{E}_p^+(A)=\sum_{\lambda_i &gt; 0} \lambda_i^p(A), \quad \mathcal{E}_p^-(A)=\sum_{\lambda_i&lt;0} |\lambda_i(A)|^p$, to be the positive and the negative $p$-energy of $A$, respectively. In this note, first we show that if $A=[A_{ij}]_{i,j=1}^k$, where $A_{ii}$ are square matrices, then $\mathcal{E}_p^+(A)\geq \sum_{i=1}^{k} \mathcal{E}_p^+(A_{ii}), \quad \mathcal{E}_p^-(A)\geq \sum_{i=1}^{k} \mathcal{E}_p^-(A_{ii})$, for any real number $p\geq 1$. We then apply the previous inequality to establish lower bounds for $p$-energy of the adjacency matrix of graphs.</dc:description><dc:date>2025</dc:date><dc:date>2025-10-28 09:11:04</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>175449</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
