Random field Ising model : statistical properties of low-energy excitations and of equilibrium avalanches
arXiv:1106.1742 · doi:10.1088/1742-5468/2011/07/P07010
Abstract
With respect to usual thermal ferromagnetic transitions, the zero-temperature finite-disorder critical point of the Random-field Ising model (RFIM) has the peculiarity to involve some 'droplet' exponent that enters the generalized hyperscaling relation . In the present paper, to better understand the meaning of this droplet exponent beyond its role in the thermodynamics, we discuss the statistics of low-energy excitations generated by an imposed single spin-flip with respect to the ground state, as well as the statistics of equilibrium avalanches i.e. the magnetization jumps that occur in the sequence of ground-states as a function of the external magnetic field. The droplet scaling theory predicts that the distribution of the linear-size of low-energy excitations transforms into the distribution for the size (number of spins) of excitations of fractal dimension (). In the non-mean-field region , droplets are compact , whereas in the mean-field region , droplets have a fractal dimension leading to the well-known mean-field result . Zero-field equilibrium avalanches are expected to display the same distribution . We also discuss the statistics of equilibrium avalanches integrated over the external field and finite-size behaviors. These expectations are checked numerically for the Dyson hierarchical version of the RFIM, where the droplet exponent can be varied as a function of the effective long-range interaction in .
24 pages, 15 figures, v2=final version
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Cited by in corpus (4)
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- Phase-transitions of the random bond Potts chain with long-range interactions
- Critical exponents of the spin glass transition in a field at zero temperature
- Existence of long-range order in random-field Ising model on Dyson hierarchical lattice