Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1997-03-26
Physics
Condensed Matter
Disordered Systems and Neural Networks
12 pages, 2 .eps figures, contribution to the VI International Workshop on Disordered Systems, Andalo-Italy, march 1997, to ap
Scientific paper
10.1080/014186398259761
By considering the Langevin dynamics of the SK spin glass with a spherical constraint we calculate the asymptotic distance between two real replicas that evolve with the same thermal noise from different initial conditions. Despite the simplicity of the model its dynamics is known to be non trivial and presents aging phenomena. We find that the asymptotic distance between two replicas is maximal for a whole family of initial conditions that are arbitrarily close at t=0 . The asymptotic distance presents a dynamical transition at a temperature equal to the static phase transition one.
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