A Phenomenological Description of Event-Dominated Dynamics

This work presents a phenomenological analysis of dynamical regimes in which system evolution is dominated by discrete events rather than continuous processes. In these regimes, measurable change is concentrated into episodic transitions, while inter-event evolution contributes minimally to long-term system state. We characterize event-dominated dynamics using observable features such as duty cycle, temporal clustering, hysteresis, and delayed response. The analysis is intentionally agnostic to underlying mechanisms, focusing instead on patterns that arise when systems operate under strong structural, energetic, or informational constraints. The framework provides a descriptive classification applicable across non-equilibrium systems, including physical, biological, and engineered contexts. By identifying when continuous approximations break down, this phenomenological approach offers a practical lens for interpreting burst-like evolution, regime shifts, and quenching behavior without invoking new dynamics beyond established theory.