Discrete space-time resetting model: application to first-passage and transmission statistics

Debraj Das*, Luca Giuggioli

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

22 Citations (Scopus)
70 Downloads (Pure)

Abstract

We consider the dynamics of lattice random walks with resetting. The walker moving randomly on a lattice of arbitrary dimensions resets at every time step to a given site with a constant probability r. We construct a discrete renewal equation and present closed-form expressions for different quantities of the resetting dynamics in terms of the underlying reset-free propagator or Green's function. We apply our formalism to the biased random walk dynamics in one-dimensional (1D) unbounded space and show how one recovers in the continuous limits results for diffusion with resetting. The resetting dynamics of biased random walker in 1D domain bounded with periodic and reflecting boundaries is also analyzed. Depending on the bias the first-passage probability in periodic domain shows multi-fold non-monotonicity as r is varied. Finally, we apply our formalism to study the transmission dynamics of two lattice walkers with resetting in 1D domain bounded by periodic and reflecting boundaries. The probability of a definite transmission between the walkers shows non-monotonic behavior as the resetting probabilities are varied.

Original languageEnglish
Article number424004
Number of pages29
JournalJournal of Physics A: Mathematical and Theoretical
Volume55
Issue number42
DOIs
Publication statusPublished - 28 Oct 2022

Bibliographical note

Funding Information:
We acknowledge funding from the Biotechnology and Biological Sciences Research Council (BBSRC) Grant No. BB/T012196/1. We thank Shamik Gupta for scientific discussions about the derivation of equation (). DD also acknowledges Seeralan Sarvaharman for helpful discussions.

Publisher Copyright:
© 2022 The Author(s). Published by IOP Publishing Ltd.

Research Groups and Themes

  • Engineering Mathematics Research Group

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