Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-10-21
Europhys. Lett. 71, 452 (2005)
Physics
Condensed Matter
Disordered Systems and Neural Networks
7 pages, 8 figures, final version
Scientific paper
10.1209/epl/i2004-10546-1
We study a generalization of the one-dimensional disordered Potts model, which exhibits glassy properties at low temperature. The real space properties of inherent structures visited dynamically are analyzed through a decomposition into domains over which the energy is minimized. The size of these domains is distributed exponentially, defining a characteristic length scale which grows in equilibrium when lowering temperature, as well as in the aging regime at a given temperature. In the low temperature limit, this length can be interpreted as the distance between `excited' domains within the inherent structures.
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