Abstract

We prove CLTs for biased randomly trapped random walks in one dimension. By considering a sequence of regeneration times, we will establish an annealed invariance principle under a second moment condition on the trapping times. In the quenched setting, an environment dependent centring is necessary to achieve a central limit theorem. We determine a suitable expression for this centring. As our main motivation, we apply these results to biased walks on subcritical Galton–Watson trees conditioned to survive for a range of bias values.

Highlights

  • We investigate biased randomly trapped random walks (RTRWs) on Z and apply the results to subcritical Galton–Watson trees conditioned to survive

  • The purpose of the RTRW is to generalise models such as the Bouchaud trap model and provide a framework for studying random walks on other random graphs in which trapping naturally occurs such as biased random walks on percolation clusters and random walk in random

  • As in the randomly trapped random walk case, we use P(·) = ∫ PTρ (·)P(dT ) for the annealed law. This is the model of the biased random walk on a subcritical GW-tree conditioned to survive which is the focus of Theorems 4–6

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Summary

Introduction

We investigate biased randomly trapped random walks (RTRWs) on Z and apply the results to subcritical Galton–Watson trees conditioned to survive. As in the randomly trapped random walk case, we use P(·) = ∫ PTρ (·)P(dT ) for the annealed law This is the model of the biased random walk on a subcritical GW-tree conditioned to survive which is the focus of Theorems 4–6. A technique is developed in [6] that can be used to extend an annealed invariance principle to a quenched result This is applied in [27] to prove a quenched functional central limit theorem for the walk on the supercritical tree when the offspring distribution has exponential moments and no deaths. This will be shown in [8]

A law of large numbers and functional central limit theorem
Quenched central limit theorem
Subcritical Galton–Watson trees
The speed of the walk
An annealed functional central limit theorem
A quenched central limit theorem
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