Answers are grounded in this paper and cite their sources.
Analysis of infinite precedence graphs reveals efficient verification methods for event systems, suggesting improved scheduling capabilities.
Precedence constraints are inequalities used to model time dependencies. In 1958, Gallai proved that a finite system of precedence constraints admits solutions if and only if the corresponding precedence graph does not contain positive-weight circuits. We show that this result extends naturally to the case of infinitely many constraints. We then analyze two specific classes of infinite precedence graphs – N -periodic and ultimately periodic graphs – and prove that the existence of solutions of their related constraints can be verified in strongly polynomial time. The obtained algorithms find applications in P-time event graphs, which are a subclass of P-time Petri nets able to model production systems under cyclic schedules where tasks need to be performed within given time windows.
No takes yet. Share an insight, caveat, or question.
Zorzenon et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: