Computational Complexity of Synchronization under Sparse Regular Constraints
Abstract
The constrained synchronization problem (CSP) asks for a synchronizing word of a given input automaton contained in a regular set of constraints. It could be viewed as a special case of synchronization of a discrete event system under supervisory control. Here, we study the computational complexity of this problem for the class of sparse regular constraint languages. We give a new characterization of sparse regular sets, which equal the bounded regular sets, and derive a full classification of the computational complexity of CSP for letter-bounded regular constraint languages, which properly contain the strictly bounded regular languages. Then, we introduce strongly self-synchronizing codes and investigate CSP for bounded languages induced by these codes. With our previous result, we deduce a full classification for these languages as well. In both cases, depending on the constraint language, our problem becomes NP-complete or polynomial time solvable.
Cite
@article{arxiv.2108.00081,
title = {Computational Complexity of Synchronization under Sparse Regular Constraints},
author = {Stefan Hoffmann},
journal= {arXiv preprint arXiv:2108.00081},
year = {2021}
}
Comments
Accepted at FCT 2021, see https://www.corelab.ntua.gr/fct2021/