Dynamostasis: A Dynamic Law of Stability in Resonant–Torsional Systems

I present discovery and quantitative characterization of Dynamostasis, defined as the dynamic self-stabilization of a resonant–torsional system through inertia, memory, and active drive decoupling. The study investigates the transition from qualitative observation to quantitative control of stability in systems that exhibit resonance–torsion coupling, hysteresis, and delayed instability. A series of controlled numerical experiments revealed a consistent shift between static and dynamic stability thresholds, governed by an inertial scaling law. We demonstrate that stability persists beyond the classical limit predicted by linear analysis, and that nonlinear feedback redistributes energy spatially to maintain coherence. This mechanism extends the definition of stability from a static condition to a temporal and informational process.