Complexity of the emptiness problem for graph-walking automata and for tilings with star subgraphs
Olga Martynova

TL;DR
This paper investigates the computational complexity of the emptiness problem for graph recognition models, establishing decidability and precise complexity bounds for graph-walking automata and star automata.
Contribution
It proves the decidability of the emptiness problem for both models and determines their complexity classes, NEXP-complete for graph-walking automata and NP-complete for star automata.
Findings
Non-emptiness for graph-walking automata is NEXP-complete.
Non-emptiness for star automata is NP-complete.
Emptiness problems are decidable for both models.
Abstract
This paper proves the decidability of the emptiness problem for two models which recognize graphs: graph-walking automata, and tilings of graphs by star subgraphs (star automata). Furthermore, it is proved that the non-emptiness problem for graph-walking automata (that is, whether a given automaton accepts at least one graph) is NEXP-complete. For star automata, which generalize nondeterministic tree automata to the case of graphs, it is proved that their non-emptiness problem is NP-complete.
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Taxonomy
Topicssemigroups and automata theory · Formal Methods in Verification · Model-Driven Software Engineering Techniques
