FIRST PASSAGE PERCOLATION WITH LONG-RANGE CORRELATIONS AND APPLICATIONS TO RANDOM SCHRÖDINGER OPERATORS

被引:1
作者
Andres, Sebastian [1 ]
Prevost, Alexis [2 ]
机构
[1] Tech Univ Carolo Wilhelmina Braunschweig, Inst Math Stochast, Braunschweig, Germany
[2] Univ Geneva, Sect Math, Geneva, Switzerland
基金
英国工程与自然科学研究理事会;
关键词
First passage percolation; shape theorem; random conductance model; Green kernel; long-range correlations; RANDOM CONDUCTANCE MODEL; RANDOM-WALKS; LARGE DEVIATIONS; VACANT SET; INVARIANCE-PRINCIPLE; HARNACK INEQUALITIES; VARIATIONAL FORMULA; LYAPUNOV EXPONENTS; HEAT KERNELS; LIMIT;
D O I
10.1214/23-AAP2008
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 first passage percolation (FPP) with passage times generated by a general class of models with long-range correlations on Zd, d >= 2, including discrete Gaussian free fields, Ginzburg-Landau backward difference phi interface models or random interlacements as prominent examples. We show that the associated time constant is positive, the FPP distance is comparable to the Euclidean distance, and we obtain a shape theorem. We also present two applications for random conductance models (RCM) with possibly unbounded and strongly correlated conductances. Namely, we obtain a Gaussian heat kernel upper bound for RCMs with a general class of speed measures, and an exponential decay estimate for the Green's function of RCMs with random killing measures.
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页码:1846 / 1895
页数:50
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