Trapping and commutative Boolean networks
Maximilien Gadouleau

TL;DR
This paper explores the theory of Boolean networks, introducing trapping graphs and closures, and characterizes classes of commutative, bijective, and idempotent networks with new theoretical insights.
Contribution
It establishes the relationship between trapspaces and trapping closures, and classifies special classes of commutative Boolean networks such as Marseille and Lille networks.
Findings
Two BN have the same trapspaces iff they have the same trapping closure.
Commutative networks are always trapping networks.
Classified Marseille and Lille networks as special types of commutative or trapping networks.
Abstract
A Boolean network (BN) is a transformation of the set of Boolean configurations of a given length. A trapspace of a BN is a subcube invariant by the BN; a principal trapspace is the smallest trapspace containing a given configuration; a minimal trapspace is one that does not contain any smaller trapspace. In an unrelated development, commutative BNs have been introduced as those networks where all local updates commute. In this paper, we relate those two aspects of BN theory via five main contributions. First, we introduce the trapping graph and the trapping closure of a BN. We also define trapping networks as the networks with transitive general asynchronous graphs and we prove that those are exactly the trapping closures. Second, we show that two BNs have the same collection of (principal) trapspaces if and only if they have the same trapping closure. We then characterise the…
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