Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2003-10-09
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 3 figures, 1 table, proceedings of The 3rd International Symposium on Slow Dynamics in Complex Systems, Sendai, Japan
Scientific paper
We study aging phenomena of Migdal-Kadanoff spin glasses in order to clarify relevancy of temperature chaos to rejuvenation and memory. By exploiting renormalization, we do efficient dynamical simulations in very wide time/length scales including the chaos length. As a consequence, we find that temperature chaos and temperature dependence of speed of equilibration cause two significantly different effects against temperature variations, i.e., rejuvenation for positive temperature variation and memory for negative temperature variation, as are observed experimentally in spin glasses.
Martin Olivier C.
Sasaki Makoto
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