When is a System Discoverable from Data? Discovery Requires Chaos
The research investigates when a dynamical system can be uniquely identified from observational data. The core finding is that chaos is often necessary for this discovery to be provable, as chaotic systems provide enough complexity for unique identification. Conversely, conservative systems are inherently non-discoverable from data alone.