The Bouchaud-Anderson model with double-exponential potential

TL;DR

This paper investigates the Bouchaud-Anderson model with double-exponential potential, demonstrating that unbounded traps lead to complete localization, unlike the constant trap case where localization fails, highlighting the impact of inhomogeneous landscapes.

Contribution

The paper proves complete localization for the Bouchaud-Anderson model with double-exponential potential and unbounded traps, revealing qualitative differences from the parabolic Anderson model.

Findings

Complete localization occurs with unbounded traps

Inhomogeneous traps cause distinct concentration behavior

Contrasts with the failure of localization in constant trap cases

Abstract

The Bouchaud-Anderson model (BAM) is a generalisation of the parabolic Anderson model (PAM) in which the driving simple random walk is replaced by a random walk in an inhomogeneous trapping landscape; the BAM reduces to the PAM in the case of constant traps. In this paper we study the BAM with double-exponential potential. We prove the complete localisation of the model whenever the distribution of the traps is unbounded. This may be contrasted with the case of constant traps (i.e. the PAM), for which it is known that complete localisation fails. This shows that the presence of an inhomogeneous trapping landscape may cause a system of branching particles to exhibit qualitatively distinct concentration behaviour.