Emergent dynamical scaling in the inviscid limit of 3D stochastic Navier-Stokes equation with thermal noise
Liubov Gosteva, Marc Brachet, Léonie Canet
TL;DR
The paper investigates the stochastic 3D Navier–Stokes equation with thermal noise (model A) using functional renormalization group (FRG) and direct numerical simulations (DNS). It identifies a nonperturbative inviscid fixed point (IFNS) governing the large-momentum dynamics, with a dynamical exponent $z=1$ and exact large-momentum closures from Ward identities, alongside an IR fixed point (FNS) with $z=2$. The results show a crossover between UV $z=1$ and IR $z=2$ regimes, corroborated by DNS which reveal two scaling regimes in temporal correlations and a clear UV/IR separation. The findings link fluctuating hydrodynamics to Burgers–KPZ universality, providing a framework to understand high-wavenumber temporal correlations in both near-equilibrium and turbulent settings, though the UV $z=1$ scaling is unlikely to be observed in equilibrium molecular fluids. Overall, the work advances nonperturbative analyses of stochastic fluid dynamics and elucidates how symmetry constraints drive universal temporal scaling at large $k$.
Abstract
In this work, we investigate the Navier-Stokes equation in the presence of thermal noise, both at finite viscosity (revisiting the seminal work by Forster-Nelson-Stephen) and in the inviscid limit, which has not yet been explored. We determine the space-time velocity correlations in this dynamics, using functional renormalisation group and direct numerical simulations. While spectrally truncated three-dimensional Euler flows reach a stationary equilibrium state, they exhibit non-trivial temporal correlations. We show that these non-trivial correlations persist for small but finite viscosity, yielding an emergent $τ\sim k^{-1}$ dynamical scaling, where $τ$ is the decorrelation time. We characterise the crossover from the scaling $τ\sim 1/(νk^2)$, expected at large viscosity, to the scaling $τ\sim 1/(u_{\rm rms}k)$ found in the inviscid limit.
