Nilpotent dynamics on signed interaction graphs and weak converses of Thomas' rules
Adrien Richard

TL;DR
This paper investigates how the structure of signed interaction graphs constrains the dynamics of finite systems, showing that complex behaviors cannot always be inferred from the graph alone, especially under degree-bounded conditions.
Contribution
It proves that degree-bounded systems with certain graph structures exhibit simple dynamics, and establishes weak converses of Thomas' rules relating cycles in the graph to fixed points.
Findings
If the interaction graph is not a cycle, the system can converge to a fixed point in n+1 steps.
Degree-bounded systems with complex dynamics cannot be inferred solely from the interaction graph.
Presence of positive or negative cycles in the graph influences the number of fixed points possible.
Abstract
A finite dynamical system with components is a function where is a product of finite intervals of integers. The structure of such a system is represented by a signed digraph , called interaction graph: there are vertices, one per component, and the signed arcs describe the positive and negative influences between them. Finite dynamical systems are usual models for gene networks. In this context, it is often assumed that is {\em degree-bounded}, that is, the size of each is at most the out-degree of in plus one. Assuming that is connected and that is degree-bounded, we prove the following: if is not a cycle, then may be a constant. In that case, describes a very simple dynamics: a global convergence toward a unique fixed point in iterations. This shows that, in the degree-bounded…
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Taxonomy
TopicsGene Regulatory Network Analysis · Bioinformatics and Genomic Networks · Evolution and Genetic Dynamics
