Brazilian Journal of Probability and Statistics

Unions of random walk and percolation on infinite graphs

Kazuki Okamura

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Abstract

We consider a random object that is associated with both random walks and random media, specifically, the superposition of a configuration of subcritical Bernoulli percolation on an infinite connected graph and the trace of the simple random walk on the same graph. We investigate asymptotics for the number of vertices of the enlargement of the trace of the walk until a fixed time, when the time tends to infinity. This process is more highly self-interacting than the range of random walk, which yields difficulties. We show a law of large numbers on vertex-transitive transient graphs. We compare the process on a vertex-transitive graph with the process on a finitely modified graph of the original vertex-transitive graph and show their behaviors are similar. We show that the process fluctuates almost surely on a certain non-vertex-transitive graph. On the two-dimensional integer lattice, by investigating the size of the boundary of the trace, we give an estimate for variances of the process implying a law of large numbers. We give an example of a graph with unbounded degrees on which the process behaves in a singular manner. As by-products, some results for the range and the boundary, which will be of independent interest, are obtained.

Article information

Source
Braz. J. Probab. Stat., Volume 33, Number 3 (2019), 586-637.

Dates
Received: July 2017
Accepted: May 2018
First available in Project Euclid: 10 June 2019

Permanent link to this document
https://projecteuclid.org/euclid.bjps/1560153854

Digital Object Identifier
doi:10.1214/18-BJPS404

Mathematical Reviews number (MathSciNet)
MR3960278

Zentralblatt MATH identifier
07094819

Keywords
Bernoulli percolation random walk

Citation

Okamura, Kazuki. Unions of random walk and percolation on infinite graphs. Braz. J. Probab. Stat. 33 (2019), no. 3, 586--637. doi:10.1214/18-BJPS404. https://projecteuclid.org/euclid.bjps/1560153854


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