Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2007-11-07
Physical Review Letters, vol. 101 (2008) 018701
Physics
Condensed Matter
Disordered Systems and Neural Networks
See http://www.sg.ethz.ch for related publications
Scientific paper
10.1103/PhysRevLett.101.018701
For the voter model, we study the effect of a memory-dependent transition rate. We assume that the transition of a spin into the opposite state decreases with the time it has been in its current state. Counter-intuitively, we find that the time to reach a macroscopically ordered state can be accelerated by slowing-down the microscopic dynamics in this way. This holds for different network topologies, including fully-connected ones. We find that the ordering dynamics is governed by two competing processes which either stabilize the majority or the minority state. If the first one dominates, it accelerates the ordering of the system. The conclusions of this Letter are not restricted to the voter model, but remain valid to many other spin systems as well.
Schweitzer Frank
Stark Hans-Ulrich
Tessone Claudio J.
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