University of Kashan Mathematics Interdisciplinary Research 2538-3639 8 1 2023 03 01 On Eccentric Adjacency Index of Graphs and Trees 1 17 113761 10.22052/mir.2023.246384.1391 EN Reza Sharafdini Persian Gulf University 0000-0002-3171-2209 Mehdi Azadimotlagh Department of Computer Engineering of Jam, Persian Gulf University, Jam, IRAN Vahid Hashemi Faculty of intelligent systems engineering and data science, Persian Gulf University, Bushehr 75169. 0000-0002-3171-2209 Fateme Parsanejad Faculty of intelligent systems engineering and data science, Persian Gulf University, Bushehr 75169. 0000-0002-3171-2209 Journal Article 2023 01 08 Let $G=(V(G),E(G))$ be a simple and connected graph. The distance between any two vertices $x$ and $y$, denoted by $d_G(x,y)$, is defined as the length of a shortest path connecting $x$ and $y$ in $G$. The degree of a vertex $x$ in $G$, denoted by $\deg_G(x)$, is defined as the number of vertices in $G$ of distance one from $x$. The eccentric adjacency index (briefly EAI) of a connected graph $G$ is defined as \[\xi^{ad} (G)=\sum_{u\in V(G)}\se_G(u)\varepsilon_G(u)^{-1},\] \noindent where $\se_G(u)=\displaystyle\sum_{\substack{v\in V(G)\\ d_G(u,v)=1}}\deg_{G}(v)$ and $\varepsilon_G(u)=\max \{d_G(u,v)\mid v \in V(G)\}$. In this article, we aim to obtain all extremal graphs based on the value of EAI among all simple and connected graphs, all trees, and all trees with perfect matching.

https://mir.kashanu.ac.ir/article_113761_25bbe911758dc04c41038b96ac151cd4.pdf