Learning Metastable Dynamics
Metastability---a phenomenon where systems remain trapped in quasi-stable states before abruptly transitioning under rare perturbations---is ubiquitous in physical systems. Although metastability is a widely observed phenomenon, its identification and analysis present significant challenges. To address these challenges, we propose a novel framework for analyzing metastability using Koopman theory. We use a finite set of system trajectories to learn a representation of the dynamics that defines a latent space in which the system evolves linearly, thereby enabling a systematic characterization of metastable behavior through the spectral properties of the linear mapping. Empirical evaluation...
| Authors | Rupak Majumdar, Mahmoud Salamati, Nikhil Singh et al. |
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| Primary category | cs.PF |
| Published | 13 September 2026 |
| Last updated at source | 13 September 2026 |
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