Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1999-02-10
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 4 eps figures
Scientific paper
10.1103/PhysRevLett.83.1034
We study hysteretic phenomena in random ferromagnets. We argue that the angle dependent magnetostatic (dipolar) terms introduce frustration and long range interactions in these systems. This makes it plausible that the Sherrington - Kirkpatrick model may be able to capture some of the relevant physics of these systems. We use scaling arguments, replica calculations and large scale numerical simulations to characterize the hysteresis of the zero temperature SK model. By constructing the distribution functions of the avalanche sizes, magnetization jumps and local fields, we conclude that the system exhibits self-organized criticality everywhere on the hysteresis loop.
Pazmandi Ferenc
Zarand Gergely
Zimanyi Gergely T.
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