Continuous-time random walks with reset events: Historical background and new perspectives
arXiv:1706.04812 · doi:10.1140/epjb/e2017-80348-4
Abstract
In this paper, we consider a stochastic process that may experience random reset events which relocate the system to its starting position. We focus our attention on a one-dimensional, monotonic continuous-time random walk with a constant drift: the process moves in a fixed direction between the reset events, either by the effect of the random jumps, or by the action of a deterministic bias. However, the orientation of its motion is randomly determined after each restart. As a result of these alternating dynamics, interesting properties do emerge. General formulas for the propagator as well as for two extreme statistics, the survival probability and the mean first-passage time, are also derived. The rigor of these analytical results is verified by numerical estimations, for particular but illuminating examples.
11 pages, 5 figures
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- Fat Tails and Black Swans: Exact Results for Multiplicative Processes with Resets
- Non-homogeneous random walks with stochastic resetting: an application to the Gillis model
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