Localisation in the Bouchaud–Anderson model

Stephen Muirhead and Richard Pymar

Stochastic Processes and their Applications, 2016, vol. 126, issue 11, 3402-3462

Abstract: It is well-known that both random branching and trapping mechanisms can induce localisation phenomena in random walks; the prototypical examples being the parabolic Anderson and Bouchaud trap models respectively. Our aim is to investigate how these localisation phenomena interact in a hybrid model combining the dynamics of the parabolic Anderson and Bouchaud trap models. Under certain natural assumptions, we show that the localisation effects due to random branching and trapping mechanisms tend to (i) mutually reinforce, and (ii) induce a local correlation in the random fields (the ‘fit and stable’ hypothesis of population dynamics).

Keywords: Parabolic Anderson model; Bouchaud trap model; Localisation; Intermittency (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1016/j.spa.2016.04.033

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