February 2023 Directed polymer for very heavy tailed random walks
Roberto Viveros
Author Affiliations +
Ann. Appl. Probab. 33(1): 490-506 (February 2023). DOI: 10.1214/22-AAP1821

Abstract

In the present work, we investigate the case of directed polymer in a random environment (DPRE), when the increments of the one-dimensional random walk are heavy-tailed with tail-exponent equal to zero (P[|X1|n] decays slower than any power of n). This case has not yet been studied in the context of directed polymers and presents key differences with the simple symmetric random walk case and the cases where the increments belong to the domain of attraction of an α-stable law, where α(0,2]. We establish the absence of a very strong disorder regime—that is, the free energy equals zero at every temperature—for every disorder distribution. We also prove that a strong disorder regime (partition function converging to zero at low temperature) may exist or not depending on finer properties of the random walk: we establish nonmatching necessary and sufficient conditions for having a phase transition from weak to strong disorder. In particular our results imply that for this directed polymer model, very strong disorder is not equivalent to strong disorder, shedding a new light on a long standing conjecture concerning the original nearest-neighbor DPRE.

Acknowledgments

The author is very grateful to Hubert Lacoin for suggesting to work with this problem, for very fruitful discussions and for his very useful comments and suggestions concerning the manuscript. We are also very much indebted to the referees for their constructive criticism, comments and remarks that resulted in a major revision of the original manuscript.

Citation

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Roberto Viveros. "Directed polymer for very heavy tailed random walks." Ann. Appl. Probab. 33 (1) 490 - 506, February 2023. https://doi.org/10.1214/22-AAP1821

Information

Received: 1 August 2020; Revised: 1 March 2022; Published: February 2023
First available in Project Euclid: 21 February 2023

MathSciNet: MR4551556
zbMATH: 1517.82048
Digital Object Identifier: 10.1214/22-AAP1821

Subjects:
Primary: 82D60

Keywords: heavy tail , Polymer model , Random walk

Rights: Copyright © 2023 Institute of Mathematical Statistics

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Vol.33 • No. 1 • February 2023
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