Renormalization group analysis of a self-organized critical system: Intrinsic anisotropy vs random environment
N.V. Antonov, P.I. Kakin, N.M. Lebedev, A.Yu. Luchin

TL;DR
This paper investigates a self-organized critical system coupled with a random fluid environment using renormalization group analysis, revealing a continuum of fixed points indicating a universality class with varying correction exponents.
Contribution
It introduces a field theoretic model for coupled stochastic equations describing anisotropic criticality and random fluid effects, analyzing their fixed points and universality class properties.
Findings
Existence of a semi-infinite curve of fixed points in parameter space.
The fixed points are infrared attractive for realistic parameters.
Critical dimensions are calculated to leading one-loop order, some exactly.
Abstract
We study a self-organized critical system coupled to an isotropic random fluid environment. The former is described by a strongly anisotropic continuous (coarse-grained) model introduced by Hwa and Kardar [Phys. Rev. Lett. {\bf 62} 1813 (1989); Phys. Rev. A {\bf 45} 7002 (1992)]; the latter is described by the stirred Navier--Stokes equation due to Forster, Nelson and Stephen [Phys. Rev. A {\bf 16} 732 (1977)]. The full problem of two coupled stochastic equations is represented as a field theoretic model, which is shown to be multiplicatively renormalizable. The corresponding renormalization group equations possess a semi-infinite curve of fixed points in the four-dimensional space of the model parameters. The whole curve is infrared attractive for realistic values of parameters; its endpoint corresponds to the purely isotropic regime where the original Hwa-Kardar nonlinearity becomes…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTheoretical and Computational Physics · Complex Systems and Time Series Analysis · Stochastic processes and statistical mechanics
