Random field Ising model : statistical properties of low-energy excitations and of equilibrium avalanches
Cecile Monthus, Thomas Garel

TL;DR
This paper investigates the statistical properties of low-energy excitations and avalanches in the zero-temperature Random-Field Ising Model, emphasizing the role of the droplet exponent in different regimes and validating predictions through numerical simulations.
Contribution
It provides a detailed analysis of the droplet exponent's meaning beyond thermodynamics and explores the distribution of excitations and avalanches in the RFIM, including numerical validation.
Findings
Droplet size distribution follows a power law with exponent related to θ.
In the non-mean-field region, droplets are compact with fractal dimension d.
In the mean-field region, droplets are fractal with dimension 2θ, leading to a 3/2 power law for avalanche sizes.
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 …
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