Abstract
In cases where the same real-world system can be modeled both by an ODE system D and a Boolean system B, it is of interest to identify conditions under which the two systems will be consistent, that is, will make qualitatively equivalent predictions. In this note we introduce two broad classes of relatively simple models that provide a convenient framework for studying such questions. In contrast to the widely known class of Glass networks, the right-hand sides of our ODEs are Lipschitz-continuous. We prove that if B has certain structures, consistency between D and B is implied by sufficient separation of timescales in one class of our models. Namely, if the trajectories of B are “one-stepping” then we prove a strong form of consistency and if B has a certain monotonicity property then there is a weaker consistency between D and B. These results appear to point to more general structure properties that favor consistency between ODE and Boolean models.
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