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- W2378735105 abstract "We discuss the quenched tail estimates for the random walk in random scenery. The random walk is the symmetric nearest neighbor walk and the random scenery is assumed to be independent and identically distributed, non-negative, and has a power law tail. We identify the long time aymptotics of the upper deviation probability of the random walk in quenched random scenery, depending on the tail of scenery distribution and the amount of the deviation. The result is in turn applied to the tail estimates for a random walk in random conductance which has a layered structure." @default.
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- W2378735105 date "2019-01-01" @default.
- W2378735105 modified "2023-10-09" @default.
- W2378735105 title "Quenched tail estimate for the random walk in random scenery and in random layered conductance" @default.
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- W2378735105 doi "https://doi.org/10.1016/j.spa.2018.02.011" @default.
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