Renormalization group analysis of a continuous model with self-organized criticality: Effects of randomly moving environment
Abstract
We study a strongly anisotropic self-organized critical system coupled to an isotropic random fluid environment. The former is described by a continuous (coarse-grained) model due to Hwa and Kardar. The latter is modeled by the Navier--Stokes equation with a random stirring force of a rather general form that includes, in particular, the overall shaking of the system and a non-local part with power-law spectrum that describes, in the limiting case , a turbulent fluid. The full problem of the two coupled stochastic equations is represented as a field theoretic model which is shown to be multiplicatively renormalizable and logarithmic at . Due to the interplay between isotropic and anisotropic interactions, the corresponding renormalization group (RG) equations reveal a rich pattern of possible infrared (large scales, long times) regimes of asymptotic behaviour of various Green's functions. The attractors of the RG equations in the five-dimensional space of coupling parameters include a two-dimensional surface of Gaussian (free) fixed points, a single fixed point that corresponds to the plain advection by the turbulent fluid (the Hwa--Kardar self-interaction is irrelevant) and a one-dimensional curve of fixed points that corresponds to the case where the Hwa--Kardar nonlinearity and the uniform stirring are simultaneously relevant. The character of attractiveness is determined by the exponent and the dimension of space ; the most interesting case and is described by the single fixed point. The corresponding critical dimensions of the frequency and the basic fields are found exactly.
Keywords
Cite
@article{arxiv.2505.13040,
title = {Renormalization group analysis of a continuous model with self-organized criticality: Effects of randomly moving environment},
author = {N. V. Antonov and P. I. Kakin and N. M. Lebedev and A. Yu. Luchin},
journal= {arXiv preprint arXiv:2505.13040},
year = {2025}
}