Vertex partitioning and p-energy of graphs

For a Hermitian matrix A of order n with eigenvalues λ 1 ( A ) ≥ ⋯ ≥ λ n ( A ) , define E p + ( A ) = ∑ λ i > 0 λ i p ( A ) , E p − ( A ) = ∑ λ i < 0 | λ 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 i j ] i , j = 1 k , where A i i are square matrices, then E p + ( A ) ≥ ∑ i = 1 k E p + ( A i i ) , E p − ( A ) ≥ ∑ i = 1 k E p − ( A i i ) , for any real number p ≥ 1 . We then apply the previous inequalities to establish lower bounds for p -energy of the adjacency matrix of graphs.

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Publication Details

Journal
Linear Algebra and its Applications
Published
2025-06-16
DOI
https://doi.org/10.1016/j.laa.2025.06.009
Citations
2
Primary Topic
Advanced Graph Theory Research
Type
article
Field-Weighted Citation Impact
3.01

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article

Vertex partitioning and p-energy of graphs

Bojan Mohar, Shivaramakrishna Pragada, Saieed Akbari, Hitesh Kumar
2 citations
Linear Algebra and its Applications
Advanced Graph Theory Research
3.01
article

Vertex partitioning and p-energy of graphs

Bojan Mohar, Shivaramakrishna Pragada, Saieed Akbari, Hitesh Kumar
article en
2 citations

Abstract

For a Hermitian matrix A of order n with eigenvalues λ 1 ( A ) ≥ ⋯ ≥ λ n ( A ) , define E p + ( A ) = ∑ λ i > 0 λ i p ( A ) , E p − ( A ) = ∑ λ i < 0 | λ 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 i j ] i , j = 1 k , where A i i are square matrices, then E p + ( A ) ≥ ∑ i = 1 k E p + ( A i i ) , E p − ( A ) ≥ ∑ i = 1 k E p − ( A i i ) , for any real number p ≥ 1 . We then apply the previous inequalities to establish lower bounds for p -energy of the adjacency matrix of graphs.

Linear Algebra and its ApplicationsVol. 724
Sharif University of Technology (IR), Simon Fraser University (CA)
Natural Sciences and Engineering Research Council of Canada, European Research Council
Affordable and clean energy
Openalex Percentile: Top 8%
Advanced Graph Theory Research
3.01
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