Decoding fluid chaos: The arithmetic attractor of decaying turbulence
Alexander Migdal

TL;DR
This paper reviews a theoretical framework for decaying turbulence, proposing that its chaotic behavior is organized by an arithmetic attractor linked to rational angles, supported by recent high-resolution simulations.
Contribution
It introduces a continuous operator derivation and a dynamical-systems interpretation, connecting turbulence chaos to an arithmetic structure and Yang-Mills-like operator evolution.
Findings
Recent DNS shows universality toward the Euler-ensemble behavior regardless of initial spectra.
The turbulence decay dynamics can be mapped to a Yang-Mills-like operator evolution in Hilbert space.
The attractor governing turbulence is characterized by Farey sequences and rational turning angles.
Abstract
This paper reviews a line of work on decaying turbulence that began with loop equations and culminated in the Euler ensemble as a candidate statistical attractor. Most observable predictions discussed here-including the decay law, velocity correlations, and anomalous exponents-were obtained in earlier papers. The immediate motivation for the present review is recent \(4096^3\) direct numerical simulation, which found that randomized initial data with two inequivalent infrared spectra, of Saffman \((k^2)\) and Loitsyansky \((k^4)\) type, converge in the bulk toward the same Euler-ensemble behavior. This empirical universality calls for a concise formulation of the underlying theory. I therefore revisit the construction in a continuous algebraic form. Reformulating the Navier-Stokes equation in the Lagrangian frame as a covariant-derivative flow, I show that advection cancels exactly…
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