The Complexity of Color-constrained Paths in Semicomplete Multipartite Digraphs
Julian Brinkmann

TL;DR
This paper studies the complexity of finding constrained paths in semicomplete multipartite digraphs, classifies most cases as NP-complete or polynomial, and explores specific conditions for quasi-Hamiltonian paths with potential polynomial solutions.
Contribution
It unifies various path problems under a common framework, classifies their complexity using Schaefer's theorem, and extends criteria for quasi-Hamiltonian paths in specific graph classes.
Findings
Most constrained path problems are NP-complete.
Certain cases of quasi-Hamiltonian paths may be solvable in polynomial time.
The work unifies and extends previous results on Hamiltonian and quasi-Hamiltonian paths.
Abstract
Every semicomplete multipartite digraph contains a quasi-Hamiltonian path, but the problem of finding a quasi-Hamiltonian path with prescribed start and end vertex is NP-complete even when restricted to semicomplete multipartite digraphs with independence number exactly 3. Bang-Jensen, Wang and Yeo (arXiv 2024) showed that deciding the presence of a quasi-Hamiltonian cycle which does not contain at least one vertex from each color class is NP-complete. Similarly, deciding the presence of a quasi-Hamiltonian cycle which intersects every part exactly once is also NP-complete as shown in the same work. In this paper, we continue the study of paths with constraints on the number of covered vertices from each color class. We consider the problem of finding a path with prescribed start and end vertex that contains at least and at most vertices from each color class where all color…
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