Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2002-12-04
J. Chem. Phys. 118, 8301 (2003)
Physics
Condensed Matter
Disordered Systems and Neural Networks
7 pages, 8 figures
Scientific paper
10.1063/1.1565996
We use the saddle-approach, recently introduced in the numerical investigation of simple model liquids, in the analysis of a mean-field solvable system. The investigated system is the k-trigonometric model, a k-body interaction mean field system, that generalizes the trigonometric model introduced by Madan and Keyes [J. Chem. Phys. 98, 3342 (1993)] and that has been recently introduced to investigate the relationship between thermodynamics and topology of the configuration space. We find a close relationship between the properties of saddles (stationary points of the potential energy surface) visited by the system and the dynamics. In particular the temperature dependence of saddle order follows that of the diffusivity, both having an Arrhenius behavior at low temperature and a similar shape in the whole temperature range. Our results confirm the general usefulness of the saddle-approach in the interpretation of dynamical processes taking place in interacting systems.
Angelani Luca
Ruocco Giancarlo
Zamponi Francesco
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