Averaged vs. quenched large deviations and entropy for random walk in a dynamic random environment

被引:6
作者
Rassoul-Agha, Firas [1 ]
Seppalainen, Timo [2 ]
Yilmaz, Atilla [3 ]
机构
[1] Univ Utah, Dept Math, 155 South 1400 East, Salt Lake City, UT 84109 USA
[2] Univ Wisconsin, Dept Math, 480 Lincoln Dr, Madison, WI 53706 USA
[3] Koc Univ, Dept Math, TR-34450 Istanbul, Turkey
基金
美国国家科学基金会;
关键词
random walk; dynamic random environment; large deviations; averaged; quenched; empirical process; Donsker-Varadhan relative entropy; specific relative entropy; Doob h-transform; nonstationary process; MARKOV PROCESS EXPECTATIONS; SURE INVARIANCE-PRINCIPLE; ASYMPTOTIC EVALUATION; VARIATIONAL FORMULAS; FREE-ENERGY; TIME;
D O I
10.1214/17-EJP74
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We consider random walk with bounded jumps on a hypercubic lattice of arbitrary dimension in a dynamic random environment. The environment is temporally independent and spatially translation invariant. We study the rate functions of the level-3 averaged and quenched large deviation principles from the point of view of the particle. In the averaged case the rate function is a specific relative entropy, while in the quenched case it is a Donsker-Varadhan type relative entropy for Markov processes. We relate these entropies to each other and seek to identify the minimizers of the level-3 to level-1 contractions in both settings. Motivation for this work comes from variational descriptions of the quenched free energy of directed polymer models where the same Markov process entropy appears.
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页数:47
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