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Stochastic magnetohydrodynamic turbulence in space dimensions d > or =2
M Hnatich1, J Honkonen, M Jurcisin
1Institute for Experimental Physics, SAS, Kosice, Slovakia.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 12, 2001
Summary
This study investigates magnetohydrodynamics in conducting fluids using renormalization group methods. The kinetic fixed point remains stable, indicating a consistent Kolmogorov scaling regime across dimensions.
Area of Science:
- Physics
- Fluid Dynamics
- Plasma Physics
Background:
- Magnetohydrodynamics (MHD) describes the dynamics of electrically conducting fluids.
- Understanding scaling regimes in randomly driven MHD is crucial for astrophysical and geophysical applications.
- Previous studies faced challenges with divergences at two spatial dimensions.
Purpose of the Study:
- To analyze the interplay of kinematic and magnetic forcing in randomly driven MHD.
- To investigate the stability of scaling regimes in different spatial dimensions (d >= 2).
- To address and resolve inconsistencies in treating divergences at d=2.
Main Methods:
- Renormalization group (RG) analysis in spatial dimensions d >= 2.
- Perturbative expansion using deviations from critical values for spatial dimension and forcing correlation exponent.
- One-loop approximation incorporating additional divergences at d=2.
Main Results:
- The kinetic fixed point, linked to Kolmogorov scaling, remains stable for d >= 2 with sufficiently decaying magnetic forcing correlations.
- A novel scaling regime driven by thermal velocity field fluctuations was identified and analyzed.
- The absence of a magnetic field fluctuation-driven scaling regime near d=2 was confirmed.
Conclusions:
- The study confirms the stability of the Kolmogorov scaling regime in randomly driven MHD for d >= 2, despite divergences.
- New insights into thermal fluctuation-driven scaling regimes were provided.
- A robust renormalization scheme was developed and numerically validated for interpolating between different expansion methods.