2018
DOI: 10.1214/18-ejp158
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Localization of directed polymers with general reference walk

Abstract: Directed polymers in random environment have usually been constructed with a simple random walk on the integer lattice. It has been observed before that several standard results for this model continue to hold for a more general reference walk. Some finer results are known for the so-called long-range directed polymer in which the reference walk lies in the domain of attraction of an α-stable process. In this note, low-temperature localization properties recently proved for the classical case are shown to be t… Show more

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Cited by 20 publications
(16 citation statements)
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References 62 publications
(110 reference statements)
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“…Remark 1.4. The law m N = m N,1 is the long-time limit of the endpoint distribution, which appears as a fixed point of a transfer operator on Z d for the nearest neighbor graph in [4], and for long range graphs in [3]. (Of course, for a finite state space, there is no question of localization and the disorder is always strong.)…”
Section: Introduction and Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Remark 1.4. The law m N = m N,1 is the long-time limit of the endpoint distribution, which appears as a fixed point of a transfer operator on Z d for the nearest neighbor graph in [4], and for long range graphs in [3]. (Of course, for a finite state space, there is no question of localization and the disorder is always strong.)…”
Section: Introduction and Resultsmentioning
confidence: 99%
“…We make a comment on localization: Directed polymers on the lattice in strong disorder regime have macroscopic atoms, in the sense that the favorite sites at the ending time have mass bounded away from 0 [17,4,3]. Here, the largest mass vanishes at order (log N) −1/α .…”
Section: Asymptotics Of the Invariant Measure Recall The Definitionmentioning
confidence: 99%
“…One of the novelties in [3] is a compactification argument for distributions on Z d , which was inspired by the analog treatment for distributions on R d made in [17]. Further applications of similar ideas can be found in [2], [7], and [1].…”
Section: Alternative Approaches To Localizationmentioning
confidence: 99%
“…In particular, in strong disorder the minimizers exhibit certain localization features, which can be used to understand the limiting behaviour of endpoint distributions. The procedure was extended to other polymer models in [8,9]. We will discuss various localization properties in more detail in the next section.…”
Section: Introductionmentioning
confidence: 99%