Numerical Demonstration of Kolmogorov Scaling in Magnetohydrodynamic Turbulence
Manthan Verma, Abhishek K. Jha, Shashwat Nirgudkar, Mahendra K. Verma
TL;DR
This study addresses whether Kolmogorov or Iroshnikov-Kraichnan scaling governs isotropic magnetohydrodynamic turbulence. Using high-resolution 2D simulations up to $8192^2$ and 3D simulations up to $1024^3$, driven in a low-wavenumber band to steady states, the authors analyze energy spectra $E^\pm(k)$, inertial-range fluxes $\Pi^\pm(k)$, third-order structure functions $S_3^\pm(l)$, and intermittency exponents. The results favor Kolmogorov scaling: $E^\pm(k) \sim k^{-5/3}$, constant $\Pi^\pm(k)$ in the inertial range, and $S_3^\pm(l) \propto l$ with $\zeta_3^\pm \approx 1$, along with intermittency exponents aligning with Kolmogorov predictions; imbalanced flows show $\Pi^+\!>\Pi^-$ and $E^+/E^-$ scaling consistent with Kolmogorov-type energy transfer and unequal Kolmogorov constants $K^\pm$. These findings provide a robust numerical resolution to the IK-vs-Kolmogorov debate for isotropic MHD and have implications for modeling solar, stellar, and planetary dynamo- and wind-related processes.
Abstract
The two leading models of isotropic magnetohydrodynamic (MHD) turbulence have competing predictions: $k^{-5/3}$ (Kolmogorov) and $k^{-3/2}$ (Iroshnikov-Kraichnan) scalings. This paper identifies the valid MHD turbulence model using high-resolution numerical and diagnostics-structure functions, intermittency exponents, and energy spectra and fluxes of imbalance MHD. The energy spectra of our forced MHD simulations on $8192^2$, $4096^2$, $1024^3$, and $512^3$ support Kolmogorov's k^{-5/3} spectrum over Iroshnikov-Kraichnan's k^{-3/2} spectrum, but the difference in the spectral exponents is small. However, the numerically computed third-order structure functions and intermittency exponents support Kolmogorov scaling in both two and three dimensions. Also, the energy fluxes of the imbalance MHD follow the predictions of Kolmogorov scaling. These results would help in better modelling of solar wind, solar corona, and dynamos.
