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Interaction graphs of isomorphic automata networks I: Complete digraph and minimum in-degree

Interaction graphs of isomorphic automata networks. I: Complete digraph and minimum in-degree
Authors: Bridoux, Florian; Perrot, Kévin; Picard Marchetto, Aymeric; Richard, Adrien;

Interaction graphs of isomorphic automata networks I: Complete digraph and minimum in-degree

Abstract

An automata network with $n$ components over a finite alphabet $Q$ of size $q$ is a discrete dynamical system described by the successive iterations of a function $f:Q^n\to Q^n$. In most applications, the main parameter is the interaction graph of $f$: the digraph with vertex set $[n]$ that contains an arc from $j$ to $i$ if $f_i$ depends on input $j$. What can be said on the set $\mathbb{G}(f)$ of the interaction graphs of the automata networks isomorphic to $f$? It seems that this simple question has never been studied. Here, we report some basic facts. First, we prove that if $n\geq 5$ or $q\geq 3$ and $f$ is neither the identity nor constant, then $\mathbb{G}(f)$ always contains the complete digraph $K_n$, with $n^2$ arcs. Then, we prove that $\mathbb{G}(f)$ always contains a digraph whose minimum in-degree is bounded as a function of $q$. Hence, if $n$ is large with respect to $q$, then $\mathbb{G}(f)$ cannot only contain $K_n$. However, we prove that $\mathbb{G}(f)$ can contain only dense digraphs, with at least $\lfloor n^2/4 \rfloor$ arcs.

20 pages

Country
France
Keywords

FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Molecular Networks (q-bio.MN), Formal languages and automata, [MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO], finite dynamical systems, Graph theory (including graph drawing) in computer science, FOS: Biological sciences, FOS: Mathematics, Mathematics - Combinatorics, Quantitative Biology - Molecular Networks, Combinatorics (math.CO), interaction graphs, automata networks, Computer Science - Discrete Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Top 10%
Average
Green