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

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  • معلومة اضافية
    • Contributors:
      Laboratoire de Probabilités, Statistique et Modélisation (LPSM (UMR_8001)); Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité); Université Paris Nanterre - Département de Mathématiques et Informatique; Université Paris Nanterre (UPN); Fédération Parisienne de Modélisation Mathématique (FP2M); Centre National de la Recherche Scientifique (CNRS); LabEx MME-DII; Université de Cergy Pontoise (UCP); Université Paris-Seine-Université Paris-Seine; Department of Mathematics Nanjing; Hohai University; ANR-17-CE40-0032,SWiWS,Gruyère et Saucisse de Wiener(2017)
    • بيانات النشر:
      HAL CCSD
      Institute of Mathematical Statistics (IMS)
    • الموضوع:
      2022
    • Collection:
      Université Paris Nanterre: HAL
    • نبذة مختصرة :
      International audience ; In this article we study a non-directed polymer model in dimension d ≥ 2: we consider a simple symmetric random walk on Z d which interacts with a random environment, represented by i.i.d. random variables (ωx) x∈Z d. The model consists in modifying the law of the random walk up to time (or length) N by the exponential of x∈R N β(ωx − h) where RN is the range of the walk, i.e. the set of visited sites up to time N , and β ≥ 0, h ∈ 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 ∈ (0, d). We are able to obtain precisely the behavior of polymer trajectories under all possible weak-coupling regimes βN = βN −γ 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.
    • Relation:
      hal-03907215; https://hal.science/hal-03907215; https://hal.science/hal-03907215v2/document; https://hal.science/hal-03907215v2/file/EJP873.pdf
    • الرقم المعرف:
      10.1214/22-EJP873
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.FF1683D9