The Hierarchical Random Energy Model
classification
❄️ cond-mat.stat-mech
cond-mat.dis-nn
keywords
modelenergyfieldhierarchicalrandommeantransitionbranch
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We introduce a Random Energy Model on a hierarchical lattice where the interaction strength between variables is a decreasing function of their mutual hierarchical distance, making it a non-mean field model. Through small coupling series expansion and a direct numerical solution of the model, we provide evidence for a spin glass condensation transition similar to the one occuring in the usual mean field Random Energy Model. At variance with mean field, the high temperature branch of the free-energy is non-analytic at the transition point.
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