We study several lattice random walk models with stochastic resetting to previously visited sites which exhibit a phase transition between an anomalous diffusive regime and a localization regime where diffusion is suppressed. The localized phase settles above a critical resetting rate, or rate of memory use, and the probability density asymptotically adopts in this regime a non-equilibrium steady state similar to that of the well known problem of diffusion with resetting to the origin. The transition occurs because of the presence of a single impurity site where the resetting rate is lower than on other sites, and around which the walker spontaneously localizes. Near criticality, the localization length diverges with a critical exponent that falls in the same class as the self-consistent theory of Anderson localization of waves in random media. The critical dimensions are also the same in both problems. Our study provides analytically tractable examples of localization transitions in path-dependent, reinforced stochastic processes, which can be also useful for understanding spatial learning by living organisms.
|Number of pages||28|
|Journal||Journal of Statistical Mechanics: Theory and Experiment|
|Publication status||Published - 23 May 2019|
- Classical phase transitions
- Stochastic processes
Boyer, D., Falcón-Cortés, A., Giuggioli, L., & Majumdar, S. N. (2019). Anderson-like localization transition of random walks with resetting. Journal of Statistical Mechanics: Theory and Experiment, 2019, [ 053204]. https://doi.org/10.1088/1742-5468/ab16c2