Extreme-value statistics of hierarchically correlated variables deviation from Gumbel statistics and anomalous persistence.
We study analytically the distribution of the minimum of a set of hierarchically correlated random variables E1, E2,ellipsis, E(N) where E(i) represents the energy of the ith path of a directed polymer on a Cayley tree. If the variables were uncorrelated, the minimum energy would have an asymptotic Gumbel distribution. We show that due to the hierarchical correlations, the forward tail of the distribution of the minimum energy becomes highly nonuniversal, depends explicitly on the distribution of the bond energies epsilon, and is generically different from the superexponential forward tail of the Gumbel distribution. The consequence of these results to the persistence of hierarchically correlated random variables is discussed and the persistence is also shown to be generically anomalous.
Dean
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DS
CNRS, IRSAMC, Laboratoire de Physique Quantique, Université Paul Sabatier, 31062 Toulouse, France.
Majumdar
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SN