Structures of M-Invariant Dual Subspaces with Respect to a Boolean Network
Abstract
This paper presents the following research findings on Boolean networks (BNs) and their dual subspaces.First, we establish a bijection between the dual subspaces of a BN and the partitions of its state set. Furthermore, we demonstrate that a dual subspace is -invariant if and only if the associated partition is equitable (i.e., for every two cells of the partition, every two states in the former have the same number of out-neighbors in the latter) for the BN's state-transition graph (STG). Here represents the structure matrix of the BN.Based on the equitable graphic representation, we provide, for the first time, a complete structural characterization of the smallest -invariant dual subspaces generated by a set of Boolean functions. Given a set of output functions, we prove that a BN is observable if and only if the partition corresponding to the smallest -invariant dual subspace generated by this set of functions is trivial (i.e., all partition cells are singletons). Building upon our structural characterization, we also present a method for constructing output functions that render the BN observable.
Keywords
Cite
@article{arxiv.2301.10961,
title = {Structures of M-Invariant Dual Subspaces with Respect to a Boolean Network},
author = {Dongyao Bi and Lijun Zhang and Kuize Zhang and Shenggui Zhang},
journal= {arXiv preprint arXiv:2301.10961},
year = {2024}
}