Dynamics on networks I. Combinatorial categories of modular continuous-time systems

Abstract

We develop a new framework for the study of complex continuous time dynamical systems based on viewing them as collections of interacting control modules. This framework is inspired by and builds upon the groupoid formalism of Golubitsky, Stewart and their collaborators. Our approach uses the tools and --- more importantly ---the stance of category theory. This enables us to put the groupoid formalism in a coordinate-free setting and to extend it from ordinary differential equations to vector fields on manifolds. In particular, we construct combinatorial models for categories of modular continuous time dynamical systems. Each such model, as a category, is a fibration over an appropriate category of labeled directed graphs. This makes precise the relation between dynamical systems living on networks and the combinatorial structure of the underlying directed graphs, allowing us to exploit the relation in new and interesting ways.

59 pages. (v2): abstract and introduction re-written, examples added

References in corpus (2)

• Percolation in Directed Scale-Free Networks
• Honeycombs and sums of Hermitian matrices

Cited by in corpus (7)

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• Networks of open systems
• Amplified steady state bifurcations in feedforward networks
• An algebra of open continuous time dynamical systems and networks
• Hierarchical Network Structure Promotes Dynamical Robustness