Dehghan, Ali and Sadeghi, Mohammad-Reza and Ahadi, Arash - Sigma Partitioning: Complexity and Random Graphs

dmtcs:1534 - Discrete Mathematics & Theoretical Computer Science, December 17, 2018, vol. 20 no. 2
Sigma Partitioning: Complexity and Random Graphs

Authors: Dehghan, Ali and Sadeghi, Mohammad-Reza and Ahadi, Arash

A $\textit{sigma partitioning}$ of a graph $G$ is a partition of the vertices into sets $P_1, \ldots, P_k$ such that for every two adjacent vertices $u$ and $v$ there is an index $i$ such that $u$ and $v$ have different numbers of neighbors in $P_i$. The $\textit{ sigma number}$ of a graph $G$, denoted by $\sigma(G)$, is the minimum number $k$ such that $ G $ has a sigma partitioning $P_1, \ldots, P_k$. Also, a $\textit{ lucky labeling}$ of a graph $G$ is a function $ \ell :V(G) \rightarrow \mathbb{N}$, such that for every two adjacent vertices $ v $ and $ u$ of $ G $, $ \sum_{w \sim v}\ell(w)\neq \sum_{w \sim u}\ell(w) $ ($ x \sim y $ means that $ x $ and $y$ are adjacent). The $\textit{ lucky number}$ of $ G $, denoted by $\eta(G)$, is the minimum number $k $ such that $ G $ has a lucky labeling $ \ell :V(G) \rightarrow \mathbb{N}_k$. It was conjectured in [Inform. Process. Lett., 112(4):109--112, 2012] that it is $ \mathbf{NP} $-complete to decide whether $ \eta(G)=2$ for a given 3-regular graph $G$. In this work, we prove this conjecture. Among other results, we give an upper bound of five for the sigma number of a uniformly random graph.


Source : oai:arXiv.org:1403.6288
DOI : 10.23638/DMTCS-20-2-19
Volume: vol. 20 no. 2
Section: Graph Theory
Published on: December 17, 2018
Submitted on: July 18, 2016
Keywords: Mathematics - Combinatorics,Computer Science - Computational Complexity


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