TY - JOUR
T1 - Deviations of a random walk in a random scenery with stretched exponential tails
AU - Gantert, Nina
AU - Van Der Hofstad, Remco
AU - König, Wolfgang
N1 - Funding Information:
This work began during a visit of N. G. to EURANDOM. The work of R. v. d. H. was supported in part by The Netherlands Organisation for Scientific Research (NWO). W. K. gratefully acknowledges the Heisenberg grant awarded by the German Science Foundation (DFG).
PY - 2006/3
Y1 - 2006/3
N2 - Let (Zn)n∈N be a d-dimensional random walk in random scenery, i.e., Zn=∑k=0n-1YSk with (Sk)k∈N0 a random walk in Zd and (Yz)z∈Zd an i.i.d. scenery, independent of the walk. We assume that the random variables Yz have a stretched exponential tail. In particular, they do not possess exponential moments. We identify the speed and the rate of the logarithmic decay of P(Zn>ntn) for all sequences (tn)n∈N satisfying a certain lower bound. This complements results of Gantert et al. [Annealed deviations of random walk in random scenery, preprint, 2005], where it was assumed that Yz has exponential moments of all orders. In contrast to the situation (Gantert et al., 2005), the event {Zn>ntn} is not realized by a homogeneous behavior of the walk's local times and the scenery, but by many visits of the walker to a particular site and a large value of the scenery at that site. This reflects a well-known extreme behavior typical for random variables having no exponential moments.
AB - Let (Zn)n∈N be a d-dimensional random walk in random scenery, i.e., Zn=∑k=0n-1YSk with (Sk)k∈N0 a random walk in Zd and (Yz)z∈Zd an i.i.d. scenery, independent of the walk. We assume that the random variables Yz have a stretched exponential tail. In particular, they do not possess exponential moments. We identify the speed and the rate of the logarithmic decay of P(Zn>ntn) for all sequences (tn)n∈N satisfying a certain lower bound. This complements results of Gantert et al. [Annealed deviations of random walk in random scenery, preprint, 2005], where it was assumed that Yz has exponential moments of all orders. In contrast to the situation (Gantert et al., 2005), the event {Zn>ntn} is not realized by a homogeneous behavior of the walk's local times and the scenery, but by many visits of the walker to a particular site and a large value of the scenery at that site. This reflects a well-known extreme behavior typical for random variables having no exponential moments.
KW - Large deviations
KW - Local time
KW - Random walk in random scenery
KW - Stretched exponential tails
UR - http://www.scopus.com/inward/record.url?scp=31344462194&partnerID=8YFLogxK
U2 - 10.1016/j.spa.2005.10.006
DO - 10.1016/j.spa.2005.10.006
M3 - Article
AN - SCOPUS:31344462194
SN - 0304-4149
VL - 116
SP - 480
EP - 492
JO - Stochastic Processes and their Applications
JF - Stochastic Processes and their Applications
IS - 3
ER -