Probing the tails of the ground state energy distribution for the directed polymer in a random medium of dimension via a Monte-Carlo procedure in the disorder
arXiv:cond-mat/0607411 · doi:10.1103/PhysRevE.74.051109
Abstract
In order to probe with high precision the tails of the ground-state energy distribution of disordered spin systems, Körner, Katzgraber and Hartmann \cite{Ko_Ka_Ha} have recently proposed an importance-sampling Monte-Carlo Markov chain in the disorder. In this paper, we combine their Monte-Carlo procedure in the disorder with exact transfer matrix calculations in each sample to measure the negative tail of ground state energy distribution for the directed polymer in a random medium of dimension . In , we check the validity of the algorithm by a direct comparison with the exact result, namely the Tracy-Widom distribution. In dimensions and , we measure the negative tail up to ten standard deviations, which correspond to probabilities of order . Our results are in agreement with Zhang's argument, stating that the negative tail exponent of the asymptotic behavior as is directly related to the fluctuation exponent (which governs the fluctuations of the ground state energy for polymers of length ) via the simple formula . Along the paper, we comment on the similarities and differences with spin-glasses.
13 pages, 16 figures
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