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arXiv 2501.05035math.CO
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有向线性森林上的 D-反幻标号

D-Antimagic Labelings on Oriented Linear Forests

Ahmad Muchlas Abrar, Rinovia Simanjuntak

AI总结:

本文引入有向图的 D-反幻标号概念,刻画特定距离集下的 D-反幻路径及距离反幻树、森林,并构造有向线性森林上的标号。

摘要:

设 $\overrightarrow{G}$ 是一个有向图,具有顶点集 $V(\overrightarrow{G})$ 和弧集 $A(\overrightarrow{G})$。设 $D\subseteq\{0,1,\dots,\partial\}$ 为距离集,其中 $\partial=\max\{d(u,v)<\infty|u,v\in V(\overrightarrow{G})\}$。给定双射 $h:V(\overrightarrow{G})\rightarrow\{1,2,\dots,|V(\overrightarrow{G})|\}$,顶点 $v\in V(\overrightarrow{G})$ 的 $D$-权定义为 $\omega_D(v)=\sum_{u\in N_D(v)}h(u)$,其中 $N_D(v)=\{u\in V|d(v,u)\in D\}$。若对每对不同顶点 $x$ 和 $y$ 都有 $\omega_D(x)\ne\omega_D(y)$,则双射 $h$ 称为 $D$-反幻标号。若有向图 $\overrightarrow{G}$ 允许这样的标号,则称其为 $D$-反幻的。除了引入有向图的 $D$-反幻标号概念外,我们还研究了 $D$-反幻有向图的若干性质。特别地,我们针对某些 $D$ 研究 $D$-反幻线性森林,刻画了在 $1\in D$、$n-1\in D$ 或 $\{0,n-2\}\subset D$ 时的 $D$-反幻路径,并刻画了距离反幻树和森林。最后,我们在有向线性森林上构造了 $D$-反幻标号。

英文摘要:

Let $\overrightarrow{G}$ be an oriented graph with the vertex set $V(\overrightarrow{G})$ and the arc set $A(\overrightarrow{G})$. Suppose that $D\subseteq \{0,1,\dots,\partial \}$ is a distance set where $\partial=\max \{d(u,v)<\infty|u,v\in V(\overrightarrow{G})\}$. Given a bijection $h:V(\overrightarrow{G}) \rightarrow\{1,2,\dots,|V(\overrightarrow{G})|\}$, the $D$-weight of a vertex $v\in V(\overrightarrow{G})$ is defined as $ω_D(v)=\sum_{u\in N_D(v)}h(u)$, where $N_D(v)=\{u\in V|d(v,u)\in D\}$. A bijection $h$ is called a $D$-antimagic labeling if for every pair of distinct vertices $x$ and $y$, $ω_D(x)\ne ω_D(y)$. An oriented graph $\overrightarrow{G}$ is called $D$-antimagic if it admits such a labeling. In addition to introducing the notion of $D$-antimagic labeling for oriented graphs, we investigate some properties of $D$-antimagic oriented graphs. In particular, we study $D$-antimagic linear forests for some $D$. We characterize $D$-antimagic paths where $1 \in D$, $n-1\in D$, or $\{0,n-2\}\subset D$. We characterize distance antimagic trees and forests. We conclude by constructing $D$-antimagic labelings on oriented linear forests.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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