In incompressible magnetohydrodynamic (MHD) turbulence driven by injection of positive magnetic helicity Hb=⟨a⋅b⟩H_b=\langle\boldsymbol{a}\cdot\boldsymbol{b}\rangle at a forcing scale well separated from the box size, direct numerical simulations reveal a bidirectional cascade: roughly 90% of the injected helicity transfers to large scales while a residual ~10% cascades directly to small scales. Linkmann and Dallas (Phys. Rev. Fluids 2, 054605, 2017) found that this small-scale fraction decreases only weakly with the forcing-scale magnetic Reynolds number, εHb+/εHb∝Rmf−0.22\varepsilon^+_{H_b}/\varepsilon_{H_b}\propto Rm_f^{-0.22}, from just three hyperdissipative simulations at Rmf=700Rm_f=700 to 9000090000, and proposed, in agreement with an upper bound valid for ordinary Laplacian resistivity and with independent coarse-grained analysis, that the direct cascade is a finite-RmRm effect that vanishes as Rmf→∞Rm_f\to\infty. Whether this scaling survives at much larger RmfRm_f for both Laplacian and hyperdissipative dissipation without divergence of the magnetic energy, whether the isolated-triad instability analysis correctly predicts the helicity transfer once the full network of coupled triads interacts, and how the cascade depends on the dissipation-operator order, all remain open. The problem is to settle the asymptotic regime and the mechanism of the residual direct cascade of magnetic helicity.

Background

Incompressible magnetohydrodynamics (MHD) describes a conducting fluid through the coupled evolution of its velocity field u\boldsymbol{u} and magnetic field b\boldsymbol{b} (written in velocity units via the Alfvén-speed normalization). In the absence of dissipation the equations conserve three quadratic invariants: the total energy E=⟨(∣u∣2+∣b∣2)/2⟩E=\langle(|\boldsymbol{u}|^2+|\boldsymbol{b}|^2)/2\rangle, the cross helicity Hc=⟨u⋅b⟩H_c=\langle\boldsymbol{u}\cdot\boldsymbol{b}\rangle (the alignment of velocity and magnetic fluctuations), and the magnetic helicity Hb=⟨a⋅b⟩H_b=\langle\boldsymbol{a}\cdot\boldsymbol{b}\rangle, where a\boldsymbol{a} is a vector potential with ∇×a=b\nabla\times\boldsymbol{a}=\boldsymbol{b} and ⟨⋅⟩\langle\cdot\rangle denotes a volume average; HbH_b measures the average linkage and twist of magnetic field lines. In turbulence at small but finite magnetic resistivity η\eta, the energy dissipation rate stays finite as η→0\eta\to0 (a dissipative anomaly; see Linkmann, Berera and Goldstraw 2017 for its Reynolds-number dependence in homogeneous MHD), whereas the dissipation rate of magnetic helicity tends to zero, making HbH_b a rugged invariant. An absolute-equilibrium (statistical-mechanical) argument of Frisch, Pouquet, Léorat and Mazure (1975) therefore predicts that magnetic helicity cascades toward large scales — an inverse cascade — in contrast to the energy. This inverse transfer is central to mean-field dynamo theory: the nonlinear α\alpha-effect (a turbulent emf proportional to kinetic helicity) builds large-scale fields while transporting magnetic helicity of the opposite sign to small scales, so the efficiency and saturation level of astrophysical dynamos depend on how magnetic helicity is transported and dissipated across scales (Brandenburg 2001).

Direct numerical simulations (DNS) confirmed the inverse cascade of HbH_b (Alexakis, Mininni and Pouquet 2006; Müller, Malapaka and Busse 2012; Linkmann and Dallas 2016) but also consistently revealed a second, smaller forward (direct) transfer of HbH_b to small scales coexisting with it — a bidirectional cascade. Linkmann and Dallas (2017) isolated this phenomenon in a controlled setup: periodic forced incompressible MHD in which the magnetic field is stirred by a helical electromagnetic force injecting positive HbH_b at wavenumber kfk_f (with scale separation kfLk_fL to the box size 2πL2\pi L), the velocity is stirred non-helically, and cross-helicity injection is kept at zero by uncorrelated forcings; hyperdissipative operators of order n=m=4n=m=4 (dissipation terms proportional to −ν(−Δ)nu-\nu(-\Delta)^n\boldsymbol{u} and −η(−Δ)mb-\eta(-\Delta)^m\boldsymbol{b}, replacing the ordinary Laplacians n=m=1n=m=1) widen the inertial range. At steady state roughly 90% of the injected HbH_b is dissipated at the large-scale (hyper)diffusive range and about 10% at small scales, a partition that does not change as kfLk_fL increases from 10 to 40, and opposite signs of HbH_b develop between large and small scales.

For ordinary Laplacian resistivity (n=1n=1) the bound of Dallas and Alexakis (2015), ∣εHb∣≤η1/2⟨∣b∣2⟩1/2ε1/2|\varepsilon_{H_b}|\le\eta^{1/2}\langle|\boldsymbol{b}|^2\rangle^{1/2}\varepsilon^{1/2} (with ε\varepsilon the total energy dissipation rate, finite as η→0\eta\to0), implies that the small-scale magnetic-helicity dissipation εHb+\varepsilon^+_{H_b} must vanish as η→0\eta\to0 unless the magnetic energy itself diverges. This is consistent with the coarse-grained analysis of Aluie (2017), who proved a strong version of the Woltjer–Taylor conservation conjecture and showed that a forward cascade of magnetic helicity to asymptotically small scales is impossible unless third-order moments of u\boldsymbol{u} or b\boldsymbol{b} become infinite. For hyperdissipation, however, the analogous bound contains ⟨∣Δn−1j∣2⟩\langle|\Delta^{n-1}\boldsymbol{j}|^2\rangle (with j=∇×b\boldsymbol{j}=\nabla\times\boldsymbol{b} the current density), which cannot be related to ε\varepsilon, so no a priori conclusion is possible; and the only empirical evidence — three simulations at kfL=10k_fL=10 with Rmf=700Rm_f=700, 70007000 and 9000090000 (the magnetic Reynolds number Rmf≡Ukf1−2n/η+Rm_f\equiv Uk_f^{1-2n}/\eta^+, with U≡(ε/kf)1/3U\equiv(\varepsilon/k_f)^{1/3} the forcing-scale velocity and η+\eta^+ the small-scale resistivity coefficient) — gives the weak scaling εHb+/εHb∝Rmf−0.22\varepsilon^+_{H_b}/\varepsilon_{H_b}\propto Rm_f^{-0.22} over this limited range.

The mechanistic interpretation rests on the Fourier helical decomposition (the Craya–Herring form), in which each Fourier mode of u\boldsymbol{u} and b\boldsymbol{b} is split into eigenfunctions of the curl with polarization σ=±1\sigma=\pm1; all nonlinear transfer then occurs through triads of wavevectors with k+p+q=0\boldsymbol{k}+\boldsymbol{p}+\boldsymbol{q}=0 and fixed helical polarizations. Under the instability assumption of Waleffe (1992) — that the statistics of a turbulent flow are controlled by the linear-stability properties of the isolated triads — the MHD triad-stability analysis of Linkmann, Berera, McKay and Jäger (2016) identifies which triadic interactions exchange energy and helicity between scales. In this framework the residual direct cascade of positive HbH_b is associated with triadic interactions representing the Lorentz force and with stretch–twist–fold (STF) dynamics — the classical fast-dynamo picture in which advection of magnetic field lines by a helical flow yields positive HbH_b at small scales and negative HbH_b at large scales, the large-scale lines being twisted in the opposite direction. The coexistence of opposite signs of HbH_b across scales requires the combined effect of STF-type triads and small-scale dynamo action (amplification of magnetic fluctuations by field-line stretching) on unstable modes of positive kinetic helicity, in competition with the triads that carry the inverse cascade of HbH_b. Whether an isolated-triad picture survives in the full network of coupled triads present in developed turbulence (Moffatt 2014) is itself open; selective helical-mode coupling DNS (as in Biferale, Musacchio and Toschi 2012 for hydrodynamic turbulence, or Alexakis 2017) provide the natural tool to test it.

Problem Statement

Determine the asymptotic (Rmf→∞Rm_f\to\infty) behavior and the mechanism of the residual direct cascade of magnetic helicity in incompressible forced MHD turbulence with helicity injection at a well-separated forcing scale. Concretely, for flows driven as in Linkmann and Dallas (2017) — helical magnetic forcing at kfk_f injecting positive HbH_b, non-helical mechanical forcing, zero cross-helicity injection — using both ordinary Laplacian dissipation (n=1n=1) and hyperdissipation (n>1n>1), establish:

(1) Asymptotic scaling: confirm or refute the preliminary law εHb+/εHb∝Rmf−0.22\varepsilon^+_{H_b}/\varepsilon_{H_b}\propto Rm_f^{-0.22} (where εHb+\varepsilon^+_{H_b} is the steady-state magnetic-helicity dissipation rate at small scales and εHb\varepsilon_{H_b} the total) over a substantially larger range of RmfRm_f, determine the exponent or correct functional form robustly, and decide whether εHb+→0\varepsilon^+_{H_b}\to0 as Rmf→∞Rm_f\to\infty without divergence of the magnetic energy or of third-order moments of u\boldsymbol{u} or b\boldsymbol{b} — i.e. whether the direct cascade of magnetic helicity is a finite-RmRm effect, as the Laplacian bound of Dallas and Alexakis suggests but the hyperdissipative case leaves undetermined.

(2) Triad-network mechanism: determine whether the interscale transfer of HbH_b predicted by isolated-triad linear stability survives in a fully coupled network of triads — can collective interactions sustain or suppress the direct cascade, or modify the large-scale/small-scale flux partition, in ways not captured by isolated-triad analysis, for example through DNS with selectively controlled helical-mode couplings?

(3) Dissipation-operator dependence: establish how the spectral scalings of Hb(k)H_b(k), the flux partition between large and small scales, and the triadic balances depend on the dissipation order nn — in particular whether Laplacian simulations at extremely high resolution reproduce the hyperdissipative phenomenology.

References

  1. Moritz Linkmann and Vassilios Dallas. Triad interactions and the bidirectional turbulent cascade of magnetic helicity. Physical Review Fluids 2, 054605 (2017). DOI: 10.1103/PhysRevFluids.2.054605; arXiv:1702.04787. https://doi.org/10.1103/PhysRevFluids.2.054605
  2. Moritz Linkmann and Vassilios Dallas. Large-scale dynamics of magnetic helicity. Physical Review E 94, 053209 (2016). DOI: 10.1103/PhysRevE.94.053209; arXiv:1605.01697. https://doi.org/10.1103/PhysRevE.94.053209
  3. Vassilios Dallas and Alexandros Alexakis. Self-organisation and non-linear dynamics in driven magnetohydrodynamic turbulent flows. Physics of Fluids 27, 045105 (2015). DOI: 10.1063/1.4916971. https://doi.org/10.1063/1.4916971
  4. Hussein Aluie. Coarse-grained incompressible magnetohydrodynamics: analyzing the turbulent cascades. New Journal of Physics 19, 025008 (2017). DOI: 10.1088/1367-2630/aa5d2f; arXiv:1701.08692. https://doi.org/10.1088/1367-2630/aa5d2f
  5. U. Frisch, A. Pouquet, J. Léorat and A. Mazure. Possibility of an inverse cascade of magnetic helicity in magnetohydrodynamic turbulence. Journal of Fluid Mechanics 68, 769-778 (1975). DOI: 10.1017/s002211207500122x. https://doi.org/10.1017/S002211207500122X
  6. Axel Brandenburg. The Inverse Cascade and Nonlinear Alpha-Effect in Simulations of Isotropic Helical Hydromagnetic Turbulence. The Astrophysical Journal 550, 824-840 (2001). DOI: 10.1086/319783. https://doi.org/10.1086/319783
  7. Alexandros Alexakis, Pablo D. Mininni and Annick Pouquet. On the Inverse Cascade of Magnetic Helicity. The Astrophysical Journal 640, 335-343 (2006). DOI: 10.1086/500082. https://doi.org/10.1086/500082
  8. W. C. Müller, S. K. Malapaka and A. Busse. Inverse cascade of magnetic helicity in magnetohydrodynamic turbulence. Physical Review E 85, 015302 (2012). DOI: 10.1103/PhysRevE.85.015302. https://doi.org/10.1103/PhysRevE.85.015302
  9. Moritz Linkmann, Arjun Berera and Erin E. Goldstraw. Reynolds-number dependence of the dimensionless dissipation rate in homogeneous magnetohydrodynamic turbulence. Physical Review E 95, 013102 (2017). DOI: 10.1103/PhysRevE.95.013102; arXiv:1701.01086. https://doi.org/10.1103/PhysRevE.95.013102
  10. Fabian Waleffe. The nature of triad interactions in homogeneous turbulence. Physics of Fluids A 4, 350-363 (1992). DOI: 10.1063/1.858309. https://doi.org/10.1063/1.858309
  11. Moritz F. Linkmann, Arjun Berera, Mairi McKay and Julia Jäger. Helical mode interactions and spectral transfer processes in magnetohydrodynamic turbulence. Journal of Fluid Mechanics 791, 61-96 (2016). DOI: 10.1017/jfm.2016.43; arXiv:1508.05528. https://doi.org/10.1017/jfm.2016.43
  12. H. K. Moffatt. Note on the triad interactions of homogeneous turbulence. Journal of Fluid Mechanics 741, R3 (2014). DOI: 10.1017/jfm.2013.637. https://doi.org/10.1017/jfm.2013.637
  13. Alexandros Alexakis. Helically decomposed turbulence. Journal of Fluid Mechanics 812, 752-770 (2017). DOI: 10.1017/jfm.2016.831. https://doi.org/10.1017/jfm.2016.831
  14. Luca Biferale, Stefano Musacchio and Federico Toschi. Inverse energy cascade in three-dimensional isotropic turbulence. Physical Review Letters 108, 164501 (2012). DOI: 10.1103/PhysRevLett.108.164501. https://doi.org/10.1103/PhysRevLett.108.164501
  15. A. Pouquet, D. Rosenberg, J. E. Stawarz and R. Marino. Helicity Dynamics, Inverse, and Bidirectional Cascades in Fluid and Magnetohydrodynamic Turbulence: A Brief Review. Earth and Space Science 6, 351-369 (2019). DOI: 10.1029/2018EA000432; arXiv:1807.03239. https://doi.org/10.1029/2018EA000432
  16. Jean-Mathieu Teissier and Wolf-Christian Müller. Inverse transfer of magnetic helicity in direct numerical simulations of compressible isothermal turbulence: scaling laws. Journal of Fluid Mechanics 915, A23 (2021). DOI: 10.1017/jfm.2021.32; arXiv:2009.09374. https://doi.org/10.1017/jfm.2021.32
  17. Jean-Mathieu Teissier and Wolf-Christian Müller. Inverse transfer of magnetic helicity in direct numerical simulations of compressible isothermal turbulence: helical transfers. Journal of Fluid Mechanics 921, A7 (2021). DOI: 10.1017/jfm.2021.496; arXiv:2012.10855. https://doi.org/10.1017/jfm.2021.496
  18. Mélissa D. Menu, Sébastien Galtier and Ludovic Petitdemange. Inverse cascade of hybrid helicity in BΩB\Omega-MHD turbulence. Physical Review Fluids 4, 073701 (2019). DOI: 10.1103/PhysRevFluids.4.073701; arXiv:1905.10250. https://doi.org/10.1103/PhysRevFluids.4.073701
  19. Guillaume Bermudez and Alexandros Alexakis. Saturation of Turbulent Helical Dynamos. Physical Review Letters 129, 195101 (2022). DOI: 10.1103/PhysRevLett.129.195101; arXiv:2204.14091. https://doi.org/10.1103/PhysRevLett.129.195101
  20. Daniel Faraco and Sauli Lindberg. Proof of Taylor's Conjecture on Magnetic Helicity Conservation. Communications in Mathematical Physics 373, 707-738 (2019). DOI: 10.1007/s00220-019-03422-7. https://doi.org/10.1007/s00220-019-03422-7
  21. Daniel Faraco, Sauli Lindberg and László Székelyhidi. Rigorous results on conserved and dissipated quantities in ideal MHD turbulence. Geophysical & Astrophysical Fluid Dynamics 116, 237-260 (2022). DOI: 10.1080/03091929.2022.2060964. https://doi.org/10.1080/03091929.2022.2060964
  22. Yan Yang, Moritz Linkmann, Luca Biferale and Minping Wan. Effects of Forcing Mechanisms on the Multiscale Properties of Magnetohydrodynamics. The Astrophysical Journal 909, 175 (2021). DOI: 10.3847/1538-4357/abdf58. https://doi.org/10.3847/1538-4357/abdf58
  23. Hongzhe Zhou and Eric G. Blackman. Helical dynamo growth and saturation at modest versus extreme magnetic Reynolds numbers. Physical Review E 109, 015206 (2024). DOI: 10.1103/PhysRevE.109.015206. https://doi.org/10.1103/PhysRevE.109.015206
  24. Jiyao Zhang and Axel Brandenburg. Resistive Scaling in the Magnetic Helicity-driven Inverse Cascade. The Astrophysical Journal 997, 308 (2026). DOI: 10.3847/1538-4357/ae31e6; arXiv:2509.21141. https://doi.org/10.3847/1538-4357/ae31e6
  25. Running Hu, Jin-Han Xie, Xinliang Li, Changping Yu, Yuan Hu, Jianchun Wang and Shiyi Chen. Hall effect on the joint cascades of magnetic energy and helicity in helical magnetohydrodynamic turbulence. arXiv:2405.03405 (2024). https://arxiv.org/abs/2405.03405
  26. Running Hu, Jin-Han Xie, Jianchun Wang, Xinliang Li, Jian Fang, Yuan Hu and Changping Yu. Suppressed cascade efficiency by Hall effects in magnetohydrodynamic turbulence. Journal of Fluid Mechanics 1019, A41 (2025). DOI: 10.1017/jfm.2025.10559. https://doi.org/10.1017/jfm.2025.10559
  27. François Rincon. Ultimate large-RmRm regime of the solar dynamo. Astronomy & Astrophysics 707, L3 (2026). DOI: 10.1051/0004-6361/202558502. https://doi.org/10.1051/0004-6361/202558502