ON LARGE DEVIATION REGIMES FOR RANDOM MEDIA MODELS

成果类型:
Article
署名作者:
Cranston, M.; Gauthier, D.; Mountford, T. S.
署名单位:
University of California System; University of California Irvine; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/08-AAP535
发表日期:
2009
页码:
826-862
关键词:
1st-passage percolation
摘要:
The focus of this article is on the different behavior of large deviations of random subadditive functionals above the mean versus large deviations below the mean in two random media models. We consider the point-to-point first passage percolation time a(n) on Z(d) and a last passage percolation time Z(n). For these functionals, we have lim(n ->infinity) a(n)/n = v and lim(n ->infinity) Z(n)/n = mu. Typically, the large deviations for such functionals exhibits a strong asymmetry, large deviations above the limiting value are radically different from large deviations below this quantity. We develop robust techniques to quantify and explain the differences.