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Volume 15, Number 1, 2025, Pages -                                                                DOI:10.11948/JAAC-2023-0466
Directed search process driven by Levy motion with stochastic resetting
Yan xu,Hexin Zhu
Keywords:stochastic resetting  search processes  renewal theory  Levy process.
Abstract:
      In this paper, We show how certain active transport processes in living cells can be modeled in terms of a directed search process driven by Levy motion with stochastic resetting. We consider the motor-driven intracellular transport of vesicles to synaptic targets in the axons and dendrites of neurons, in this case, the restart duration of the search process after reset is finite, which has two parts: a finite return time and a refractory period. We use a probabilistic renewal method to calculate the splitting probabilities and conditional mean first passage times (MFPTs) for capture by a finite array of contiguous targets. We consider two different search scenarios: bounded search on the interval [0, L], where L is the length of the array, with a refractory boundary at x = 0 and a reflecting boundary at x = L (Model A), and partially bounded search on the half-line (Model B). In the latter case there is a non-zero probability of can not to find a target in the absence of resetting. We show that both models have the same splitting probabilities, and that increasing the resetting rate r will lead to the splitting probability increases. On the other hand the MFPTs for model A are monotonically increasing functions of r, whereas the MFPTs of model B are non-monotonic respect to r, with a minimum at an optimal resetting rate.
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