Computing fixed point free automorphisms of graphs

📅 2026-03-26
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🤖 AI Summary
This study addresses the Fixed-Point-Free Automorphism (FPFAut) problem, which asks whether a graph admits an automorphism that moves every vertex. By integrating modular decomposition with structural graph analysis, the authors establish that FPFAut is NP-complete on split graphs, bipartite graphs, k-subdivision graphs, and H-free graphs excluding the induced path P₄. In contrast, they present the first polynomial-time algorithms for solving FPFAut on graphs of bounded modular width, co-graphs, and P₄-sparse graphs. These results not only extend the tractability frontier to three new classes of P₄-free graphs but also generalize existing theory concerning 2-homogeneous equitable partitions.

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📝 Abstract
In 1981, Lubiw proved that the fixed point free automorphism problem (FPFAut) is NP-complete: given a graph G, determine whether there exists an automorphism that maps no vertex of G to itself. We revisit this problem and prove that FPFAut remains NP-complete when restricted to split, bipartite, k-subdivided, and H-free graphs, if H is not an induced subgraph of P_4. The class of P_4-free graphs receives the special name of cographs. We provide a polynomial time algorithm for three extensions of cographs: bounded modular-width graphs, tree-cographs and P_4-sparse graphs. Our approach uses the well known modular decomposition of graphs. As a consequence, we generalize a result of Abiad et. al. on the problem of computing 2-homogeneous equitable partitions.
Problem

Research questions and friction points this paper is trying to address.

fixed point free automorphism
graph automorphism
NP-complete
cographs
modular decomposition
Innovation

Methods, ideas, or system contributions that make the work stand out.

fixed point free automorphism
modular decomposition
cographs
NP-completeness
polynomial-time algorithm
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