Non-directed polymers in heavy-tail random environment in dimension d ≥ 2

Quentin Berger, Niccolò Torri, Ran Wei

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In this article we study a non-directed polymer model in dimension d ≥ 2: we consider a simple symmetric random walk on Zd which interacts with a random environment, represented by i.i.d. random variables (ωx)xϵZd. The model consists in modifying the law of the random walk up to time (or length) N by the exponential of (Formula presented) where RN is the range of the walk, i.e. the set of visited sites up to time N, and β ≥ 0, h ϵ R are two parameters. We study the behavior of the model in a weak-coupling regime, that is taking β:= βN vanishing as the length N goes to infinity, and in the case where the random variables ω have a heavy tail with exponent α ϵ (0, d). We are able to obtain precisely the behavior of polymer trajectories under all possible weak-coupling regimes (Formula presented) with γ ≥ 0: we find the correct transversal fluctuation exponent ξ for the polymer (it depends on α and γ) and we give the limiting distribution of the rescaled log-partition function. This extends existing works to the non-directed case and to higher dimensions.

Original languageEnglish
Article number148
JournalElectronic Journal of Probability
Volume27
DOIs
Publication statusPublished - 2022
Externally publishedYes

Keywords

  • heavy-tail distributions
  • random polymer
  • random walk
  • range
  • sub-diffusivity
  • super-diffusivity
  • weak-coupling limit

Fingerprint

Dive into the research topics of 'Non-directed polymers in heavy-tail random environment in dimension d ≥ 2'. Together they form a unique fingerprint.

Cite this