Abstract
We consider the parabolic Anderson model ∂u∕∂t=κΔu+γξu with u:\({\mathbb{Z}}^{d} \times{\mathbb{R}}^{+} \rightarrow{\mathbb{R}}^{+}\), where \(\kappa\in{\mathbb{R}}^{+}\) is the diffusion constant, Δ is the discrete Laplacian, \(\gamma\in{\mathbb{R}}^{+}\) is the coupling constant, and \(\xi : \,{\mathbb{Z}}^{d} \times{\mathbb{R}}^{+} \rightarrow \{ 0,1\}\) is the voter model starting from Bernoulli product measure νρ with density ρ∈(0,1). The solution of this equation describes the evolution of a “reactant” u under the influence of a “catalyst” ξ.
In Gärtner, den Hollander and Maillard [Gärtner et al., Intermittency on catalysts: Voter model. Ann. Probab. 38, 2066–2102 (2010)] the behavior of the annealed Lyapunov exponents, i.e., the exponential growth rates of the successive moments of u w.r.t. ξ, was investigated. It was shown that these exponents exhibit an interesting dependence on the dimension and on the diffusion constant.
In the present paper we address some questions left open in [Gärtner et al., Intermittency on catalysts: Voter model. Ann. Probab. 38, 2066–2102 (2010)] by considering specifically when the Lyapunov exponents are the a priori maximal value in terms of strong transience of the Markov process underlying the voter model.
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References
Bramson, M., Cox, J.T., Griffeath D.: Occupation time large deviations of the voter model. Probab. Theory Relat. Fields 77, 401–413 (1988)
Carmona, R.A., Molchanov, S.A.: Parabolic Anderson Problem and Intermittency. AMS Memoir 518. American Mathematical Society, Providence, RI (1994)
Clifford, P., Sudbury, A.: A model for spatial conflict. Biometrika 60, 581–588 (1973)
Durrett, R.: Probability: Theory and Examples, 3rd edn. Thomson, Brooks/Cole, Duxbury Advanced Series (2005)
Gärtner, J., den Hollander, F.: Intermittency in a catalytic random medium. Ann. Probab. 34, 2219–2287 (2006)
Gärtner, J., den Hollander, F., Maillard, G.: Intermittency on catalysts: Symmetric exclusion. Electron. J. Probab. 12, 516–573 (2007)
Gärtner, J., den Hollander, F., Maillard, G.: Intermittency on catalysts: Voter model. Ann. Probab. 38, 2066–2102 (2010)
Holley, R.A., Liggett, T.M.: Ergodic theorems for weakly interacting infinte systems and the voter model. Ann. Probab. 3, 643–663 (1975)
Kuczek, T.: The central limit theorem for the right edge of supercritical oriented percolation. Ann. Probab. 17, 1322–1332 (1989)
Lawler, G.F., Limic, V.: Random Walk: A Modern Introduction. Cambridge Studies in Advanced Math., vol. 123. Cambridge University Press, Cambridge (2010)
Liggett, T.M.: Interacting Particle Systems. Grundlehren der Mathematischen Wissenschaften, vol. 276. Springer, New York (1985)
Spitzer, F.: Principles of Random Walk, 2nd edn. Springer, Berlin (1976)
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Maillard, G., Mountford, T., Schöpfer, S. (2012). Parabolic Anderson Model with Voter Catalysts: Dichotomy in the Behavior of Lyapunov Exponents. 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_3
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