Frustration indices of signed subcubic graphs
Sirui Chen, Jiaao Li, Zhouningxin Wang
TL;DR
This work studies the frustration index $F(G,\sigma)$ of signed subcubic graphs, a signed-graph reformulation of Max-Cut. It establishes a sharp bound $F(G,\sigma) \le \frac{1}{3}v(G)$ for signed $2$-edge-connected simple subcubic graphs, with five exceptional graphs and an infinite family attaining equality, and a tightened bound $F(G,\sigma) \le \frac{3v(G)+2}{8}$ for graphs with cut-edges, with a full characterization of equality cases. It extends these results to corollaries for cubic graphs, notably yielding $F(G,\sigma) \le \frac{2}{9}e(G)$ for large classes and demonstrating tightness via infinite families. The proofs combine a minimum counterexample framework, detailed block-leaf analysis, and a crucial inequality $|X_3|+|Y_0| \le |Y_2|$ derived from a careful vertex-partition argument, advancing understanding of frustration indices in restricted graph classes and informing potential tighter girth-based conjectures.
Abstract
The frustration index of a signed graph is defined as the minimum number of negative edges among all switching-equivalent signatures. This can be regarded as a generalization of the classical \textsc{Max-Cut} problem in graphs, as the \textsc{Max-Cut} problem is equivalent to determining the frustration index of signed graphs with all edges being negative signs. In this paper, we prove that the frustration index of an $n$-vertex signed connected simple subcubic graph, other than $(K_4, -)$, is at most $\frac{3n + 2}{8}$, and we characterize the family of signed graphs for which this bound is attained. This bound can be further improved to $\frac{n}{3}$ for signed $2$-edge-connected simple subcubic graphs, with the exceptional signed graphs being characterized. As a corollary, every signed $2$-edge-connected simple cubic graph on at least $10$ vertices and with $m$ edges has its frustration index at most $\frac{2}{9}m$, where the upper bound is tight as it is achieved by an infinite family of signed cubic graphs.
