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Pith Number

pith:AWG5P5HG

pith:2026:AWG5P5HGVS2B3PWT7Y7V5EQHCH
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Error estimates for an unregularized optimal control problem for the stationary Navier-Stokes equations

Francisco Fuica, Nicolai Jork

Error estimates are proven for variational discretization of an unregularized optimal control problem for the stationary Navier-Stokes equations, for nonsingular locally optimal controls satisfying a growth condition that implies bang-bang structure.

arxiv:2605.01633 v2 · 2026-05-02 · math.NA · cs.NA · math.OC

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\pithnumber{AWG5P5HGVS2B3PWT7Y7V5EQHCH}

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Record completeness

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

We prove a priori error estimates for locally optimal controls that are nonsingular and which satisfy a growth condition which implies a bang-bang structure.

C2weakest assumption

The locally optimal controls are nonsingular and satisfy a growth condition implying bang-bang structure (as stated in the abstract for the error estimates to hold).

C3one line summary

Error estimates are proven for variational discretization of an unregularized optimal control problem for the stationary Navier-Stokes equations, for nonsingular locally optimal controls satisfying a growth condition that implies bang-bang structure.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-26T02:04:11.765465Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

058dd7f4e6acb41dbed3fe3f5e920711d10bc30d8a3cd648168bb9214356561c

Aliases

arxiv: 2605.01633 · arxiv_version: 2605.01633v2 · doi: 10.48550/arxiv.2605.01633 · pith_short_12: AWG5P5HGVS2B · pith_short_16: AWG5P5HGVS2B3PWT · pith_short_8: AWG5P5HG
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AWG5P5HGVS2B3PWT7Y7V5EQHCH \
  | 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: 058dd7f4e6acb41dbed3fe3f5e920711d10bc30d8a3cd648168bb9214356561c
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "6d79679fb6cefce2e533f4c817739f9646a26f9302923510451b67741e758b66",
    "cross_cats_sorted": [
      "cs.NA",
      "math.OC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.NA",
    "submitted_at": "2026-05-02T22:48:52Z",
    "title_canon_sha256": "46a9e7f82b2002dbff7a993bc3e4fd66370f411e5059f51a4b9e0355f06190c5"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.01633",
    "kind": "arxiv",
    "version": 2
  }
}