Renormalization group analysis of a self-organized critical system: intrinsic anisotropy vs random environment
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Published:2023-08-23
Issue:37
Volume:56
Page:375002
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ISSN:1751-8113
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Container-title:Journal of Physics A: Mathematical and Theoretical
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language:
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Short-container-title:J. Phys. A: Math. Theor.
Author:
Antonov N VORCID,
Kakin P IORCID,
Lebedev N MORCID,
Yu Luchin AORCID
Abstract
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 (1989 Phys. Rev. Lett.
62 1813; 1992 Phys. Rev. A 45 7002); the latter is described by the stirred Navier–Stokes equation due to Forster et al (1977 Phys. Rev. A 16 732). 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 (RG) 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 irrelevant. There, one is left with a simple advection of a passive scalar field by the external environment. The main critical dimensions are calculated to leading (one-loop) order (first terms in the
ϵ
=
4
−
d
expansion); some of them are exact in all orders. These dimensions remain the same along that curve, which makes it reasonable to interpret it as a single universality class. However, the correction exponents do vary along the curve. It is therefore not clear whether the curve survives in all orders of the RG expansion or shrinks to a single point when the higher-order corrections are taken into account.
Funder
Ministry of Science and Higher Education of the Russian Federation
Foundation for the Advancement of Theoretical Physics and Mathematics
Subject
General Physics and Astronomy,Mathematical Physics,Modeling and Simulation,Statistics and Probability,Statistical and Nonlinear Physics
Cited by
2 articles.
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