Nonstandard diffusion under Markovian resetting in bounded domains

Vicenc Mendez*, Axel Maso-Puigdellosas, Daniel Campos

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review


We consider a walker moving in a one-dimensional interval with absorbing boundaries under the effect of Markovian resettings to the initial position. The walker???s motion follows a random walk characterized by a general waiting time distribution between consecutive short jumps. We investigate the existence of an optimal reset rate, which minimizes the mean exit passage time, in terms of the statistical properties of the waiting time probability. Generalizing previous results, we find that when the waiting time probability has first and second finite moments, resetting can be either (i) never beneficial, (ii) beneficial depending on the distance of the reset point to the boundary, or (iii) always beneficial. Instead, when the waiting time probability has the first or the two first moments diverging we find that resetting is always beneficial. Finally, we have also found that the optimal strategy to exit the domain depends on the reset rate. For low reset rates, walkers with exponential waiting times are found to be optimal, while for high reset rate, anomalous waiting times optimize the search process.

Original languageEnglish
Article number054118
Number of pages8
JournalPhysical Review E
Issue number5
Publication statusPublished - 11 May 2022


Dive into the research topics of 'Nonstandard diffusion under Markovian resetting in bounded domains'. Together they form a unique fingerprint.

Cite this