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Precise Asymptotics for the Parabolic Anderson Model with a Moving Catalyst or Trap

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Probability in Complex Physical Systems

Part of the book series: Springer Proceedings in Mathematics ((PROM,volume 11))

Abstract

We consider the solution \(u: [0,\infty ) \times{\mathbb{Z}}^{d} \rightarrow[0,\infty )\) to the parabolic Anderson model, where the potential is given by \((t,x)\mapsto \gamma {\delta }_{{Y }_{t}}\left (x\right )\) with Y a simple symmetric random walk on \({\mathbb{Z}}^{d}\). Depending on the parameter γ∈[−,), the potential is interpreted as a randomly moving catalyst or trap.

In the trap case, i.e., γ<0, we look at the annealed time asymptotics in terms of the first moment of u. Given a localized initial condition, we derive the asymptotic rate of decay to zero in dimensions 1 and 2 up to equivalence and characterize the limit in dimensions 3 and higher in terms of the Green’s function of a random walk. For a homogeneous initial condition, we give a characterisation of the limit in dimension 1 and show that the moments remain constant for all time in dimensions 2 and higher.

In the case of a moving catalyst (γ>0), we consider the solution u from the perspective of the catalyst, i.e., the expression u(t,Y t +x). Focusing on the cases where moments grow exponentially fast (that is, γ sufficiently large), we describe the moment asymptotics of the expression above up to equivalence. Here, it is crucial to prove the existence of a principal eigenfunction of the corresponding Hamilton operator. While this is well-established for the first moment, we have found an extension to higher moments.

AMS 2010 Subject Classification. Primary 60K37, 82C44; Secondary 60H25.

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Acknowledgement

The results of this paper have been derived in two theses under the supervision of Jürgen Gärtner whom we would like to thank for his invaluable support.

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Correspondence to Adrian Schnitzler .

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Schnitzler, A., Wolff, T. (2012). Precise Asymptotics for the Parabolic Anderson Model with a Moving Catalyst or Trap. In: Deuschel, JD., Gentz, B., König, W., von Renesse, M., Scheutzow, M., Schmock, U. (eds) Probability in Complex Physical Systems. Springer Proceedings in Mathematics, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23811-6_4

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