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Localisation in the Bouchaud–Anderson model

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  • Muirhead, Stephen
  • Pymar, Richard

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).

Suggested Citation

  • Muirhead, Stephen & Pymar, Richard, 2016. "Localisation in the Bouchaud–Anderson model," Stochastic Processes and their Applications, Elsevier, vol. 126(11), pages 3402-3462.
    • Handle: RePEc:eee:spapps:v:126:y:2016:i:11:p:3402-3462
    DOI: 10.1016/j.spa.2016.04.033
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    1. F. Taddei & M. Radman & J. Maynard-Smith & B. Toupance & P. H. Gouyon & B. Godelle, 1997. "Role of mutator alleles in adaptive evolution," Nature, Nature, vol. 387(6634), pages 700-702, June.
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    Cited by:

    1. Archer, Eleanor & Pein, Anne, 2023. "Parabolic Anderson model on critical Galton–Watson trees in a Pareto environment," Stochastic Processes and their Applications, Elsevier, vol. 159(C), pages 34-100.

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