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Moderate Deviations for Stable Random Walks in Random Scenery

Published online by Cambridge University Press:  04 February 2016

Yuqiang Li*
Affiliation:
East China Normal University
*
Postal address: School of Finance and Statistics, East China Normal University, Shanghai 200241, P. R. China. Email address: [email protected]
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Abstract

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In this paper, a moderate deviation theorem for one-dimensional stable random walks in random scenery is proved. The proof relies on the analysis of maximum local times of stable random walks, and the comparison of moments between random walks in random scenery and self-intersection local times of the underlying random walks.

Type
Research Article
Copyright
© Applied Probability Trust 

References

Asselah, A. (2008). Large deviations estimates for self-intersection local times for simple random walk in {Z}3 . Prob. Theory Relat. Fields 141, 1945.Google Scholar
Asselah, A. and Castell, F. (2007). Random walk in random scenery and self-intersection local times in dimensions d\geq 5. Prob. Theory Relat. Fields 138, 132.CrossRefGoogle Scholar
Chen, X. (2000). On the law of the iterated logarithm for local times of recurrent random walks. In High Dimensional Probability (Seattle, WA, 1999; Progress Prob. 47), Vol. II, Birkhäuser, Boston, MA, pp. 249259.CrossRefGoogle Scholar
Chen, X. (2008). Limit laws for the energy of a charged polymer. Ann. Inst. H. Poincaré Prob. Statist. 44, 638672.CrossRefGoogle Scholar
Chen, X. and Khoshnevisan, D. (2009). From charged polymers to random walk in random scenery. In Optimality (IMS Lecture Notes Monogr. 57), Institute of Mathematical Statistics, Beachwood, OH, pp. 237251.CrossRefGoogle ScholarPubMed
Chen, X. and Li, W. V. (2004). Large and moderate deviations for intersection local times. Prob. Theory Relat. Fields 128, 213254.CrossRefGoogle Scholar
Chen, X., Li, W. V. and Rosen, J. (2005). Large deviations for local times of stable processes and stable random walks in 1 dimension. Electron. J. Prob. 10, 577608.Google Scholar
Csáki, E., Révész, P. and Shi, Z. (2001). A strong invariance principle for two-dimensional random walk in random scenery. Stoch. Process. Appl. 92, 181200.Google Scholar
Dembo, A. and Zeitouni, O. (1998). Large Deviations Techniques and Applications, 2nd edn. Springer, New York.Google Scholar
Fleischmann, K., Mörters, P. and Wachtel, V. (2008). Moderate deviations for a random walk in random scenery. Stoch. Process. Appl. 118, 17681802.Google Scholar
Gantert, N., König, W. and Shi, Z. (2007). Annealed deviations of random walk in random scenery. Ann. Inst. H. Poincaré Prob. Statist. 43, 4776.Google Scholar
Jain, N. C. and Pruitt, W. E. (1984). Asymptotic behavior of the local time of a recurrent random walk. Ann. Prob. 12, 6485.CrossRefGoogle Scholar
Kesten, H. and Spitzer, F. (1979). A limit theorem related to a new class of self-similar processes. Z. Wahrscheinlichkeitsth. 50, 525.Google Scholar
Khoshnevisan, D. and Lewis, T. M. (1998). A law of the iterated logarithm for stable processes in random scenery. Stoch. Process. Appl. 74, 89121.Google Scholar
Lewis, T. M. (1992). A self normalized law of the iterated logarithm for random walk in random scenery. J. Theoret. Prob. 5, 629659.CrossRefGoogle Scholar
Lewis, T. M. (1993). A law of the iterated logarithm for random walk in random scenery with deterministic normalizers. J. Theoret. Prob. 6, 209230.Google Scholar