Analytical results for the distribution of first return times of random walks on random regular graphs

Ido Tishby, Ofer Biham, Eytan Katzav*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We present analytical results for the distribution of first return (FR) times of random walks (RWs) on random regular graphs (RRGs) consisting of N nodes of degree c 3. Starting from a random initial node i at time t = 0, at each time step t 1 an RW hops into a random neighbor of its previous node. We calculate the distribution P(T FR = t) of FR times to the initial node i. We distinguish between FR trajectories in which the RW retrocedes its own steps backwards all the way back to the initial node i and those in which the RW returns to i via a path that does not retrocede its own steps. In the retroceding scenario, each edge that belongs to the RW trajectory is crossed the same number of times in the forward and backward directions. In the non-retroceding scenario the subgraph that consists of the nodes visited by the RW and the edges it has crossed between these nodes includes at least one cycle. In the limit of N → ∞ the RRG converges toward the Bethe lattice. The Bethe lattice exhibits a tree structure, in which all the FR trajectories belong to the retroceding scenario. Moreover, in the limit of N → ∞ the trajectories of RWs on RRGs are transient in the sense that they return to the initial node with probability <1. In this sense they resemble the trajectories of RWs on regular lattices of dimensions d 3. The analytical results are found to be in excellent agreement with the results obtained from computer simulations.

Original languageAmerican English
Article number325001
JournalJournal of Physics A: Mathematical and Theoretical
Volume54
Issue number32
DOIs
StatePublished - Aug 2021

Bibliographical note

Publisher Copyright:
© 2021 IOP Publishing Ltd.

Keywords

  • first passage time
  • first return time
  • random network
  • random regular graph
  • random walk
  • recurrence
  • transience

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