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Random walk model for dual cascades in wave turbulence
1Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, USA.
Hydrodynamic and wave turbulence exhibit distinct dual cascades. Wave turbulence shows large flux fluctuations, explained by a random walk model, suggesting chance rather than irreversible dynamics drives these spectral fluxes.
Area of Science:
- Physics
- Fluid Dynamics
- Nonlinear Systems
Background:
- Dual cascades, involving two conserved quadratic quantities, are observed in 2D hydrodynamic turbulence and wave turbulence.
- Wave turbulence examples include surface waves and nonlinear Schrödinger equations with cubic nonlinearity.
Purpose of the Study:
- To compare the physical nature of dual cascades in 2D hydrodynamic turbulence and 1D wave turbulence.
- To investigate the reasons behind the stark differences observed in their spectral fluxes and fluctuations.
Main Methods:
- Numerical simulations of forced-dissipative equilibrium for both 2D hydrodynamic turbulence and a 1D wave system.
- Comparison of energy spectra within the inertial range and analysis of temporal flux fluctuations.
- Formulation and testing of a random walk model for wave turbulence dual cascades.
Main Results:
- Significant differences were found in the spectra and temporal flux fluctuations between hydrodynamic and wave turbulence.
- Wave turbulence exhibited much larger flux fluctuations, including sign reversals, absent in hydrodynamic turbulence.
- A random walk model successfully replicated observed turbulent spectra and explained large flux fluctuations in wave turbulence.
Conclusions:
- The dual cascade in wave turbulence does not necessitate an irreversible dynamical mechanism.
- Observed spectral fluxes in wave turbulence can arise from random chance, as evidenced by the random walk model.
- Nonlinear diffusion models fail to explain the spectral shapes observed in wave turbulence.
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