Triad phase dynamics determine cascade direction in two-dimensional turbulence

TL;DR

This paper reveals that the cascade direction in 2D turbulence is governed by the complex phases of Fourier modes, introducing a stochastic triad phase model validated by simulations.

Contribution

It introduces a novel stochastic model for triad phase dynamics that predicts cascade directions solely from the energy spectrum without adjustable parameters.

Findings

The triad phase PDF determines cascade direction.

The stochastic model matches turbulence simulation data.

Cascade direction prediction is possible from phase dynamics.

Abstract

Despite their importance in turbulence theory, a unifying and predictive rule determining the direction of the cascades of conserved quantities is lacking. In this work, we show that the direction of the cascades in two-dimensional turbulence is encoded in the complex phases of the Fourier transform of the velocity field. We develop a closure for the dynamics of a triad phase, the sum of the phases of three modes forming a triad, based on the observation that neighboring triad phases are weakly correlated. The resulting stochastic model can be solved analytically to find the triad phase probability distribution function (PDF). We validate our model's assumptions and predictions using an ensemble of two-dimensional turbulence simulations. From the triad phase PDF we develop a novel closure of the energy equation, and prove that the cascade directions are determined by our model without adjustable parameters and given only the energy spectrum. Triad phase dynamics occur in any quadratically nonlinear partial differential equation, making this a promising new direction in the study of strongly out-of-equilibrium systems.