paper

Computing the Exchange Number in Graphs with respect to Cycle Convexity

arXiv:2604.20787

Abstract

Given a graph , a subset is \textit{cycle convex}, if for any vertex , the induced subgraph, cannot form a cycle containing the vertex . The \textit{exchange number} of , denoted by is the maximum cardinality of an $\textit{$E$-independent}$ set of . This paper studies the computational complexity of determining the exchange number of graphs and provides exact values for some graph classes. Given a graph and a positive integer , we show that deciding whether is NP-complete even if is a -free graph. In contrast, we characterize all -vertex graphs with exchange number and obtain closed formulas for chordal graphs whose blocks lie in a single chain, which leads to polynomial-time algorithms for computing . We also establish a lower bound for the exchange number of the Cartesian product of general graphs and by using the results of Anand et al. \cite{bijo2}, we derive an explicit formula for the exchange number of strong and lexicographic graph products.

Computing the Exchange Number in Graphs with respect to Cycle Convexity · wovepaper