Fisher’s exponent understood in light of fractal dynamics in phase transition.
Statistical Physics, Fractals, Fisher’s Exponent, Ising Model, Critical Dynamics, Spins.
In this work we develop the hypothesis that the dynamics of a given system can cause the activity to be restricted to a subset of the space, characterized by a fractal dimension df smaller than the spatial dimension d. In this way we recover the fluctuation-dissipation theorem near a phase transition. We also explain the origin of the Fisher exponent and discuss how the response function can be sensitive to the change in dimensionality, which affects all critical exponents. We discuss how this phenomenon is observable in growth processes and near critical points for systems in equilibrium. In particular, we we determined the fractal dimension df for the disordered Ising model and validated it through computational simulations for two dimensions using parallel programming.