Categorical foundations of discrete dynamical systems
Daniel Carranza, Chris Kapulkin, Nathan Kershaw, Reinhard Laubenbacher, Matthew Wheeler

TL;DR
This paper develops a categorical framework for discrete dynamical systems, introducing cycle sets to formalize attractors and providing a decomposition theorem to analyze system structures and their dynamics.
Contribution
It introduces the concept of cycle sets as a new formal tool for understanding attractors within a categorical foundation for discrete dynamical systems.
Findings
Cycle sets effectively formalize attractors.
A decomposition theorem for discrete dynamical systems is established.
The framework links system structure to dynamic behavior.
Abstract
We develop categorical foundations of discrete dynamical systems, aimed at understanding how the structure of the system affects its dynamics. The key technical innovation is the notion of a cycle set, which provides a formal language in which to speak of the system's attractors. As a proof of concept, we provide a decomposition theorem for discrete dynamical systems.
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Taxonomy
TopicsMathematical Dynamics and Fractals · Mechanics and Biomechanics Studies · Chaos control and synchronization
