Adaptive resetting for informed search strategies and the design of non-equilibrium steady-states.

ABSTRACT: Stochastic resetting, the procedure of stopping and re-initializing random processes, has recently emerged as a powerful tool for accelerating processes ranging from queuing systems to molecular simulations. However, its usefulness is severely limited by assuming that the resetting protocol is completely decoupled from the state and age of the process that is being reset. We present a general formulation for state- and time-dependent resetting of stochastic processes, which we call adaptive resetting. This allows us to predict, using a single set of trajectories without resetting and via a simple reweighing procedure, all key observables of processes with adaptive resetting. These include the first-passage time distribution, the propagator, and the steady-state. Our formulation enables eff

SUBMITTER: Keidar TD 

PROVIDER: S-EPMC12328588 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature