Energy Landscapes, Metastability, and Transition Paths
Special Colloquium
The classic example of metastability (infrequent jumps between deterministically-stable states) arises in noisy systems when the thermal energy is small relative to the energy barrier separating two energy-minimizing states. My work seeks to extend this idea to infinite dimensional systems and systems with non-gradient forces, extending the usefulness of the underlying energy landscape in the classic metastability analysis. I will discuss past research and future directions to create stochastic coarse-graining techniques as well as asymptotically approximate transition times between metastable states in different limits with different types of noise. Example applications are a spatially-extended magnetic system with spatially-correlated noise designed to sample the Gibbs distribution relative to a defined energy functional, and a polymer bead-spring model of chromosome dynamics with additional stochastically-binding proteins that push the system out of equilibrium.