Intermittency-Driven Turbulence Cascade Memory Extends the Markov-Einstein Coherence Length Beyond the Canonical Estimate
Y. Sungtaek Ju

TL;DR
This study reveals that turbulence cascade memory extends beyond canonical estimates due to intermittency, requiring non-Markovian models for accurate description of turbulent energy transfer.
Contribution
It demonstrates that the inertial-range turbulence cascade exhibits greater memory effects than previously assumed, especially during intermittent events, challenging existing Markovian assumptions.
Findings
Markov-Einstein coherence length is approximately three times the canonical estimate.
Intermittent events carry significantly more cascade memory than quiescent periods.
Memory effects are Reynolds-number independent within the studied range.
Abstract
Using direct numerical simulation of forced isotropic turbulence at and , together with two independent Markov-by-construction null surrogates, we measure the Markov--Einstein coherence length of the turbulent energy cascade to be - in log-scale cascade coordinates, approximately three times the canonical estimate . Stratifying the gap-scan test by local dissipation intensity and by increment amplitude reveals that intermittent events carry -, while at mid-inertial-range scales the quiescent cascade recovers -, consistent with the canonical value. Near the dissipation range this pattern reverses: bulk dynamics carry more memory than extreme events, consistent with the spectral bottleneck. The excess memory is internal to the inertial range and…
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