Abstract
For the adjacency matrix A(G) and diagonal matrix of the vertex degrees D(G) of a simple graph G, the Aα(G) matrix is the convex combinations of D(G) and A(G), and is defined as Aα(G) = αD(G)+(1 − α)A(G), for 0 ≤ α ≤ 1. Let ρ1 ≥ ρ2 ≥ … ≥ ρn be the eigenvalues of Aα(G) (which we call α -adjacency eigenvalues of the graph G). The generalized adjacency energy also called α -adjacency energy of the graph G is defined as EAα (G) = (Formula presented.), where (Formula presented.) n is the average vertex degree, m is the size and n is the order of G. The α -adjacency energy of a graph G merges the theory of energy (adjacency energy) and the signless Laplacian energy, as EA0 (G) = E (G) and 2E A1/2(G) = QE(G), where E (G) is the energy and QE(G) is the signless Laplacian energy of G. In this paper, we obtain some new upper and lower bounds for the generalized adjacency energy of a graph, in terms of different graph parameters like the vertex covering number, the Zagreb index, the number of edges, the number of vertices, etc. We characterize the extremal graphs attained these bounds.
| Original language | English |
|---|---|
| Pages (from-to) | 127-141 |
| Number of pages | 15 |
| Journal | Journal of Mathematical Inequalities |
| Volume | 18 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2024 |
Keywords
- Adjacency matrix
- Laplacian (signless Laplacian) matrix
- regular graph
- α - adjacency matrix
- α -adjacency energy
ASJC Scopus subject areas
- Analysis
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