The Complexity of Counting Eulerian Tours in 4-Regular Graphs
Qi Ge, Daniel Stefankovic

TL;DR
This paper proves that counting Eulerian tours in 4-regular graphs is #P-complete and explores the complexity of related problems like counting A-trails, establishing their computational hardness and relationships through reductions.
Contribution
It demonstrates #P-hardness of counting Eulerian tours in 4-regular graphs and maps, and establishes approximation-preserving reductions between these problems.
Findings
Counting Eulerian tours in 4-regular graphs is #P-complete.
Counting A-trails in 4-regular maps is #P-hard.
AP-reduction from Eulerian tours to A-trails shows their approximation complexities are linked.
Abstract
We investigate the complexity of counting Eulerian tours ({\sc #ET}) and its variations from two perspectives---the complexity of exact counting and the complexity w.r.t. approximation-preserving reductions (AP-reductions \cite{MR2044886}). We prove that {\sc #ET} is #P-complete even for planar 4-regular graphs. A closely related problem is that of counting A-trails ({\sc #A-trails}) in graphs with rotational embedding schemes (so called maps). Kotzig \cite{MR0248043} showed that {\sc #A-trails} can be computed in polynomial time for 4-regular plane graphs (embedding in the plane is equivalent to giving a rotational embedding scheme). We show that for 4-regular maps the problem is #P-hard. Moreover, we show that from the approximation viewpoint {\sc #A-trails} in 4-regular maps captures the essence of {\sc #ET}, that is, we give an AP-reduction from {\sc #ET} in general graphs to {\sc…
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Topological and Geometric Data Analysis · Stochastic processes and statistical mechanics
