Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 149 tok/s
Gemini 2.5 Pro 46 tok/s Pro
GPT-5 Medium 25 tok/s Pro
GPT-5 High 30 tok/s Pro
GPT-4o 112 tok/s Pro
Kimi K2 205 tok/s Pro
GPT OSS 120B 434 tok/s Pro
Claude Sonnet 4.5 38 tok/s Pro
2000 character limit reached

Exact solution for the passive scalar in decaying turbulence (2504.10205v4)

Published 14 Apr 2025 in physics.flu-dyn, hep-th, and nlin.SI

Abstract: We present the exact analytic solution for the one-point distribution of a passive scalar in decaying homogeneous turbulence, in the limit of vanishing viscosity and diffusivity at fixed Schmidt number. The velocity statistics are governed by the Euler ensemble, obtained previously as the spontaneously stochastic solution to the loop equation derived from the Navier-Stokes equations in the extreme turbulent limit. The resulting advection-diffusion problem is solved explicitly via loop calculus. For an initially localized scalar distribution, the solution develops a sequence of concentric spherical shells with a quantized, piecewise-parabolic radial profile of temperature with a finite limit at the center -- an outcome not predicted by conventional theories. This shell structure is a unique solution of the transport equation within the Euler ensemble, but may be smeared by finite diffusivity or forcing. It represents the geometric skeleton of scalar transport in ideal turbulence, and may be relevant in astrophysical or quantum-fluid regimes where dissipation is negligible. This work redefines expectations for scalar mixing in the high-Reynolds-number limit.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com
Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 4 tweets and received 31 likes.

Upgrade to Pro to view all of the tweets about this paper: