pith:AIMVG7DA
The spatio-temporal statistical structure of the turbulent dissipation field and its stochastic representation as a Gaussian Multiplicative Chaos
Gaussian Multiplicative Chaos extends to time as a model for the turbulent dissipation field.
arxiv:2604.05736 v2 · 2026-04-07 · physics.flu-dyn
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\usepackage{pith}
\pithnumber{AIMVG7DAO2F6O7PHMHJPM2SI77}
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Record completeness
Claims
the GMC appears as an appropriate statistically homogeneous model of the turbulent dissipation field... propose a generalization to a spatio-temporal framework
That the temporal evolution of the dissipation field follows the same multiplicative structure and statistical homogeneity as the spatial GMC without requiring additional fitted parameters or breaking the cascade phenomenology.
Turbulent dissipation is modeled as a spatio-temporal Gaussian Multiplicative Chaos and tested against Navier-Stokes simulations.
Formal links
Cited by
Receipt and verification
| First computed | 2026-06-30T02:17:20.252711Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0219537c60768be77de761d2f66a48ffcc1f30a77420616cccb13ac666787e2c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AIMVG7DAO2F6O7PHMHJPM2SI77 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 0219537c60768be77de761d2f66a48ffcc1f30a77420616cccb13ac666787e2c
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2026-04-07T11:38:04Z",
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"kind": "arxiv",
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