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    State-dependent Markov memory in the turbulent energy cascade

    Y. Sungtaek Ju*

    • *Contact author: sungtaek.ju@ucla.edu

    Phys. Rev. Fluids 11, 094605 – Published 23 September, 2026

    DOI: https://doi.org/10.1103/4p16-3qyj

    Abstract

    Using direct numerical simulation of forced isotropic turbulence at Reλ≈1300 and ≈433, together with two independent Markov-in-scale-by-construction null surrogates, we show that the Markov-Einstein coherence length of the turbulent energy cascade is state-dependent. Conditioning the gap-scan test on the local flow state reveals that intermittent regions of the inertial range carry a coherence length Δr≈3–4, while the quiescent cascade at midinertial scales recovers Δr≈1.0–1.4, matching the canonical estimate to within one grid step. Near the dissipation range this pattern reverses: the core of the increment distribution carries more memory than the extreme tails, consistent with the spectral bottleneck. As a consequence, the unconditioned coherence length coincides with that of the intermittent component, whose memory is the last to decay as the scale separation grows. It therefore sets the coherence length, giving Δr≈3.2–3.6 at the inertial-range centers, approximately three times the canonical reference Δr≈1. An independent Chapman-Kolmogorov test confirms the state dependence, and a subsampling test shows the excess is present already at the ∼105 samples-per-scale regime of the earlier experiments. The pattern is Reynolds-number-independent over Reλ≈433–1300. The Markov approximation underlying the cascade Fokker-Planck equation and fluctuation-theorem analyses is therefore substantially more restrictive for the intermittent component of the cascade than previously assumed.

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