Searching for clusters of targets under stochastic resetting

Georgia R. Calvert, Martin R. Evans*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


We consider diffusion under stochastic resetting to the origin in one dimension and compute the mean time to find both of two targets placed either side of the origin. A surprising result is that increasing the distance between two targets can decrease the overall search time. We compute the optimal arrangement of two targets in limiting cases. We generalise to obtain recursive expressions for the mean time to find all of multiple targets. We discuss the relevance to real-world problems of locating multiple targets such as proteins locating clusters of DNA lesions.
Original languageEnglish
Article number228
Pages (from-to)1-9
Number of pages9
JournalThe European Physical Journal B
Publication statusPublished - 22 Nov 2021


  • cond-mat.stat-mech


Dive into the research topics of 'Searching for clusters of targets under stochastic resetting'. Together they form a unique fingerprint.

Cite this