Non-Gaussian statistics of concentration fluctuations in free liquid diffusion

We show that the three-point skewness of concentration fluctuations is non-vanishing in free liquid diffusion, even in the limit of vanishingly small mean concentration gradients. We exploit a high-Schmidt reduction of nonlinear Landau-Lifshitz hydrodynamics for a binary fluid, both analytically and by a massively parallel Lagrangian Monte Carlo simulation. Non-Gaussian statistics result from nonlinear coupling of concentration fluctuations to thermal velocity fluctuations, analogous to the turbulent advection of a passive scalar. Concentration fluctuations obey no central limit theorem, counter to the predictions of macroscopic fluctuation theory for generic diffusive systems.

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ArXiv.org
Published
2025-09-29
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Cell Image Analysis Techniques
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Non-Gaussian statistics of concentration fluctuations in free liquid diffusion

ArXiv.org
Cell Image Analysis Techniques
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Non-Gaussian statistics of concentration fluctuations in free liquid diffusion

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Abstract

We show that the three-point skewness of concentration fluctuations is non-vanishing in free liquid diffusion, even in the limit of vanishingly small mean concentration gradients. We exploit a high-Schmidt reduction of nonlinear Landau-Lifshitz hydrodynamics for a binary fluid, both analytically and by a massively parallel Lagrangian Monte Carlo simulation. Non-Gaussian statistics result from nonlinear coupling of concentration fluctuations to thermal velocity fluctuations, analogous to the turbulent advection of a passive scalar. Concentration fluctuations obey no central limit theorem, counter to the predictions of macroscopic fluctuation theory for generic diffusive systems.

ArXiv.org
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Cell Image Analysis Techniques
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Non-Gaussian statistics of concentration fluctuations in free liquid diffusion · ArXiv.org (2025) | TGRS Research Map | TGRS