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pith:ETMOLWQK

pith:2026:ETMOLWQKLRAN5HOV657KM5OFRY
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The Energy Based Near Singularity for Fourier Spectral 3D Navier-Stokes Equations

Beibei Li

Fourier spectral discretization of the 3D Navier-Stokes equations converges exponentially in space while an energy-based criterion links numerical blowup to loss of regularity.

arxiv:2604.23159 v2 · 2026-04-25 · math.NA · cs.NA

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Claims

C1strongest claim

We prove exponential convergence in space, algebraic convergence in time, and an a posteriori criterion that links numerical blowup to loss of regularity.

C2weakest assumption

The resolution conditions and spectral accuracy assumptions hold uniformly for the chosen Fourier basis and time-stepping scheme when the solution remains in the regularity class under study.

C3one line summary

An energy-based conditional regularity framework and a posteriori diagnostics are derived for Fourier spectral discretizations of the 3D Navier-Stokes equations to detect potential finite-time singular behavior.

Receipt and verification
First computed 2026-05-20T00:02:11.798660Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

24d8e5da0a5c40de9dd5f77ea675c58e354dceb72a2a6ff5719daa477cb2ec3e

Aliases

arxiv: 2604.23159 · arxiv_version: 2604.23159v2 · doi: 10.48550/arxiv.2604.23159 · pith_short_12: ETMOLWQKLRAN · pith_short_16: ETMOLWQKLRAN5HOV · pith_short_8: ETMOLWQK
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ETMOLWQKLRAN5HOV657KM5OFRY \
  | 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: 24d8e5da0a5c40de9dd5f77ea675c58e354dceb72a2a6ff5719daa477cb2ec3e
Canonical record JSON
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    "abstract_canon_sha256": "7ac8679ed9067c5e5989b7d39f6b8f22e0032db8c60d485cef0c325b4c84f322",
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      "cs.NA"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "math.NA",
    "submitted_at": "2026-04-25T06:12:04Z",
    "title_canon_sha256": "1653eed1ece67eb5a7b36fb169f75af2885fec55db2e95faf3ef38d2e8bad0b7"
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  "source": {
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    "kind": "arxiv",
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