Dissipation anomaly in gradient-driven nonequilibrium steady states
Hiroyoshi Nakano, Yuki Minami

TL;DR
This paper shows that dissipation anomaly, typically associated with turbulence, also occurs in simple gradient-driven nonequilibrium steady states due to amplified fluctuations, revealing a new context for this phenomenon.
Contribution
It demonstrates that dissipation anomaly occurs in non-turbulent steady states driven by gradients, expanding understanding of singular behaviors in hydrodynamics beyond turbulence.
Findings
Dissipation anomaly occurs in gradient-driven steady states.
Long-range fluctuations are amplified by the imposed gradient.
Nonlinear mode coupling regularizes divergence, resulting in finite anomalous dissipation.
Abstract
Dissipation anomaly-the persistence of finite energy dissipation in the inviscid limit-is a hallmark of turbulence, sometimes regarded as the "zeroth law" of turbulent flows. Here, we demonstrate that this phenomenon is not exclusive to turbulence. Using fluctuating hydrodynamics, we show that a simple gradient-driven nonequilibrium steady state, in which a fluid is subjected to a constant scalar gradient but remains macroscopically quiescent, also exhibits dissipation anomaly. Direct numerical simulations and self-consistent mode-coupling theory reveal that the anomaly originates from giant, long-range nonequilibrium fluctuations amplified by the imposed gradient. While linear theory predicts a divergent dissipation in the inviscid limit, nonlinear mode coupling regularizes the divergence, yielding a finite anomalous dissipation. Our findings identify a new, non-turbulent arena for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Advanced Thermodynamics and Statistical Mechanics · stochastic dynamics and bifurcation
